KR102105887B1 - Non-invasive mechanical ventilation system to measure change of air voloume in lungs and obstruction degree of airway and operating method thereof - Google Patents

Abstract

The present invention relates to a non-invasive mechanical ventilation system for measuring changes in air volume in the lungs and a degree of airway obstruction, and a method for operating the non-invasive mechanical ventilation system according to an embodiment of the present invention. EIT data processing unit including a plurality of electrodes attached to one site, and measuring the voltage from the at least one site through the plurality of attached electrodes to generate image data for the inside of the subject, the air to the subject Injecting, breathing management unit for collecting the breathing parameters of the subject based on the injected air and comparing the collected breathing parameters and the generated image data, and controlling the injected air by estimating the leakage amount of the injected air It may include a control unit.

Description

Non-invasive mechanical ventilation system and its operation method to measure changes in air volume inside the lungs and airway obstruction and its operation method

The present invention relates to a non-invasive mechanical ventilation system and a method of operating the same, and more specifically, to heal respiratory disease or neuromuscular disease using a non-invasive method, electrical impedance tomography A non-invasive mechanical ventilation system that measures a subject's lung air volume change and airway obstruction using the (EIT, Electrical Impedance Tomography) method, and appropriately controls the air injected into the subject to treat the subject's disease, and It relates to a method of operation.

Non-invasive mechanical ventilation (NIV), or ventilator, supports breathing without intubation or tracheostomy in patients with lung disease.

Non-invasive mechanical ventilation not only reduces the risk of infection, but also improves the patient's survival rate due to respiratory failure.

Non-invasive mechanical ventilation can provide precise inhalation and exhalation pressures or tidal volumes, enhance the ventilation capacity per minute of the alveolar fibers, or activate the destroyed alveolar fibers, depending on the degree of the patient's exchange function.

Non-invasive mechanical ventilation is used for the treatment of respiratory diseases such as sleep apnea, chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS), and asthma Can be.

In addition, non-invasive mechanical ventilation can be used to treat neuromuscular diseases such as amyotrophic lateral sclerosis (ALS) and spinal cord injury.

Sleep apnea among respiratory diseases includes apnea and hypopopnea.

An apnea is a phenomenon in which the time during which the respiratory airflow decreases to less than 10% of the normal respiratory airflow during sleep lasts for more than 10 seconds.

The time when the respiratory airflow decreases between 10-70% of the normal respiratory airflow lasts more than 10 seconds, and the phenomenon that the blood oxygen saturation decreases by 3 or 4% is called hypoventilation.

Apnea and hypoventilation during sleep can be divided into obstructive, which occurs due to abnormal occlusion or area reduction of the upper airway, but central, which occurs without breathing effort.

About 17% or more of the total population have symptoms of sleep apnea, of which only 20% or less (developed countries such as the United States) or 1% or less (developing countries) are diagnosed.

Diagnosis of sleep apnea is made in hospitals and at home. Polysomnography (PSG) is performed in hospitals, and home sleep test (HST) is performed in families.

PSG targets patients admitted to dedicated laboratories during sleep, such as sleep electroencephalogram (EGG), electrooculogram (EGG), electromyography (EMG), oronasal air flow, nasal pressure, chest respiratory effort, abdomen respiratory effort, SpO2, ECG (electrocardiography), sleep posture, and movement are measured to detect apnea and hypoventilation along with sleep.

It is determined whether each apnea and hypoventilation is obstructive or central, and whether arousal is caused by the breathing effort. Taken together, the apnea hypopnea index (AHI), which is the number of apneas and low breaths per hour, is calculated.

AHI is a criterion for determining the degree of sleep apnea and deciding whether to treat it.

HST estimates AHI by measuring several signals during sleep at home: nasal pressure, respiratory effort, SpO2, heart rate, sleep posture, and movement.

In sleep apnea diagnosis using PSG or HST, noninvasive ventilation therapy, positive airway pressure (PAP), oral structure, or upper respiratory surgery are prescribed to patients with AHI above a certain value.

The PAP used for the treatment of sleep apnea consists of an air pressure generator that creates an airflow with a positive pressure compared to atmospheric pressure, a mask to be attached to both the nose or nose and mouth, and a tube connecting them.

CPAP (continuous PAP) increases the output air pressure to a predetermined air pressure and maintains the value at all times, including intake and exhalation. It helps air intake during inhalation and prevents upper respiratory tract obstruction during exhalation. However, the patient often feels discomfort due to positive pressure during exhalation.

APAP (automatic PAP) measures the air pressure and airflow of the mask to vary the output air pressure.

BiPAP uses two different values of output air pressure during exhalation and inspiration. When CPAP is used, PSG is performed while using PAP, and a titration process is performed to predetermine the output air pressure suitable for the patient.

When using PAP after HST without a separate PSG test, APAP is mainly used.

BiPAP is used in patients with cardiopulmonary or neurological diseases.

It is known that about 40-50% of patients using PAP fail to adapt to the device and stop using it.

This occurs in all types of CPAP, APAP, and BiPAP. The majority of patients who cannot adapt to PAP eventually give up treatment and live with sleep apnea symptoms.

Improving PAP to allow more patients to adapt to PAP reduces the complications that occur in sleep apnea patients, increases work productivity, reduces traffic accidents caused by drowsy driving, work accidents during work, lowers health care costs and economic burdens, while at the same time reducing patient life. Can improve the quality.

In order for the patient to adapt to the PAP, the existing APAP measures the air pressure and airflow inside the mask and changes the output air pressure in a manner unique to each manufacturer according to the value.

However, all PAP masks currently in use are not hermetic, so there is always leakage air, and the amount of leakage air cannot be accurately measured.

Therefore, the air pressure and air flow of the mask are different from the air pressure and air flow in the patient's airway. In professional pulmonary function testing medical devices such as spirometers, pressure and airflow sensors are installed in the nose and mouth to measure air pressure and airflow in the airways, but it is difficult to mount these sensors in patients wearing PAP masks.

In addition, when performing a treatment for improving lung function, air must be delivered to the lungs of a patient at a set pressure and volume of air, but there is a problem in that proper treatment is difficult due to air leaking from a mask.

On the other hand, sleep apnea has several pathologies, including anatomical structure of the upper respiratory tract, respiratory-related nervous system functions, nervous system reaction to changes in blood oxygen and carbon dioxide concentrations due to lack of breathing, and sensitivity of the entire respiratory system to shortness of breath, including these factors, and It is a complex disease involving physiological factors.

When using a method of diagnosing sleep apnea with AHI, it is difficult to determine the severity and cause of sleep apnea, and thus it is difficult to select a treatment method according to the severity and cause. Accordingly, there is a problem that it is difficult to continue the effect of sleep apnea treatment.

Korean Patent Publication No. 10-2017-0037704, "Multiple electrodes for measuring chest impedance and chest impedance measurement method using the same" US Patent Publication US 2014/0088373, "SYSTEM AND METHOD FOR DETERMINING SLEEP STAGE" Korean Registered Patent No. 10-1302052, "Positive pressure control mask for medical use"

The present invention is to provide a non-invasive mechanical ventilation system and an operation method for increasing the efficiency of non-invasive mechanical ventilation treatment by using an existing non-invasive treatment method and an electrical impedance tomography (EIT) method together.

The present invention is to provide a non-invasive mechanical ventilation system and an operation method for accurately estimating the amount of air leaking from inside a mask using an electric impedance tomography method in the treatment of non-invasive mechanical ventilation.

The present invention is to provide a non-invasive mechanical ventilation system and a method for operating the active air pressure and volume control in a non-invasive mechanical ventilation treatment by accurately estimating the amount of leaked air.

The present invention is to provide an EIT data processing apparatus and an operation method for monitoring a lung function based on electrical impedance tomography and generating a control signal for controlling a respiratory management apparatus based on monitoring.

The present invention is to provide a non-invasive mechanical ventilation system for calculating a subject's diagnostic variables using a subject's breathing parameters collected through a mask and monitoring of lung function based on electrical impedance tomography and an operation method thereof.

The present invention is to provide a non-invasive mechanical ventilation system and an operation method for improving the therapeutic effect of a respiratory or muscular system disease by accurately estimating an amount of air leaked from a mask in performing a non-invasive treatment method.

The present invention accurately estimates the amount of air leaked from the mask attached to the subject in performing a non-invasive treatment method, and controls one of the subject's lung functions by controlling one of the volume and pressure of the air injected through the mask based on the estimated air amount. It is intended to provide a non-invasive mechanical ventilation system and an operation method thereof.

The present invention is to provide a non-invasive mechanical ventilation system and a method of operation for calculating a diagnostic parameter for diagnosing lung function based on respiratory parameters and electrical impedance tomography.

 According to an embodiment of the present invention, the non-invasive mechanical ventilation system includes a plurality of electrodes attached to at least one portion of a subject's chest and neck, and a current and current from the at least one portion through the attached plurality of electrodes. EIT data processing unit that measures one of the voltages to generate image data for the inside of the subject, a breath management unit for injecting air into the subject, and collecting breathing parameters of the subject based on the injected air, and the collected breathing parameters And a controller configured to compare the generated image data to estimate the amount of leakage of the injected air, and to control the injected air.

According to an embodiment of the present invention, the EIT data processing unit controls selection of at least one electrode pair from the plurality of attached electrodes, supplies current to the selected electrode pair, and controls selection of the unselected electrodes. And, by measuring the voltage through the unselected electrodes, it is possible to generate real-time image data for the internal change of at least one of the chest and the neck based on the injected air.

According to an embodiment of the present invention, the control unit may monitor any one of a change in the air volume inside the lung and a change in the degree of airway obstruction based on the generated image data.

According to an embodiment of the present invention, the breathing management unit includes a mask connected to one of the subject's nose and mouth and a tube connected to the mask, injecting the air into the subject through the mask, and When breathing air, it is possible to collect the breathing parameters related to air pressure and airflow signals in the mask.

According to an embodiment of the present invention, the control unit may calculate the airflow signal by differentiating the monitored air volume change in the lung, and compare the airflow signal in the mask with the calculated airflow signal to estimate the amount of leakage. .

According to an embodiment of the present invention, when the estimated leakage amount is greater than a reference value, the control unit increases one of volume and pressure of air injected through the mask, and when the estimated leakage amount is less than the reference value, One of the volume and pressure of the air injected through the mask may be maintained.

According to an embodiment of the present invention, when the control unit maintains one of the volume and pressure of the air injected through the mask, the output value corresponding to one of the maintained volume and pressure is an appropriate output value of the respiratory management unit. It can be determined, and can be controlled so that the injected air continues according to the determined output power.

According to an embodiment of the present invention, the control unit controls the breathing management unit so that the injected air continues with the determined output proper value, but when the state change of the subject is detected through the EIT data processing unit, the detection Air injected through the mask may be controlled according to the changed state.

According to an embodiment of the present invention, the breath management unit includes an external device connection unit to which at least one of an air purifier, a replaceable water bottle, and a replaceable oxygen can is connected, and the breath management unit comprises the air cleaner through the external device connection unit. The purified air is provided to the subject, and the humidity of the air supplied to the subject is adjusted by spraying moisture supplied from the replaceable water bottle through the external device connection, and the replaceable oxygen is provided through the external device connection. The oxygen supplied from the can can be provided to the subject.

According to an embodiment of the present invention, the respiration management unit may provide a specific substance contained in the supplied moisture as the test subject through the external device connection unit. According to an embodiment of the present invention, the EIT data processing device A plurality of electrodes for current injection and voltage sensing are formed, and an electrode portion attached to at least one of the subject's chest and neck, and current is supplied to at least one selected electrode pair of the plurality of electrodes, and unselected An image data generation unit and a respiratory management device that generates image data for at least one of the chest and the neck by measuring voltage through electrodes, and a delivery unit that delivers the image data and signal data extracted from the image data It can contain.

According to an embodiment of the present invention, the EIT data processing apparatus receives the breathing parameters according to the subject's breathing from the breathing management apparatus, and compares one of the received breathing parameters and the generated image data and the extracted signal data Further comprising an air leakage amount estimator for estimating the amount of leakage of the air injected into the subject and a control signal generator for generating a control signal for controlling the air injected by the respiratory management device based on the estimated leakage amount, the The delivery unit may transmit the generated control signal to the respiratory management device.

According to an embodiment of the present invention, the image data generation unit controls selection of at least one electrode pair from the plurality of electrodes, controls selection of the unselected electrodes, and is configured according to the air injected by the respiratory management unit. Image data of at least one internal change of the chest and the neck may be generated in real time.

According to an embodiment of the present invention, the air leakage amount estimator monitors any one of a change in the air volume inside the lung and a change in the degree of airway obstruction based on one of the generated image data and signal data extracted from the image data, The air volume signal may be calculated by differentiating the monitored change in the volume of air inside the lung, and the leakage amount may be estimated by comparing the airflow signal in the mask included in the respiratory management apparatus with the calculated airflow signal.

According to an embodiment of the present invention, the control signal generation unit, when the estimated leakage amount is greater than a reference value, a control signal for controlling the respiratory management device to increase one of the volume and pressure of the air injected through the mask When the estimated leakage amount is smaller than the reference value, a control signal for controlling the respiratory management device to maintain one of the volume and pressure of the air injected through the mask may be generated.

According to an embodiment of the present invention, the delivery unit uses at least one of a plurality of Internet of Things devices and a user terminal device using a cloud computing service, and the biological data of the subject based on one of the video data and the signal data. Can deliver.

According to one embodiment of the present invention, the non-invasive mechanical ventilation system includes a plurality of electrodes attached to at least one portion of a subject's chest and neck, and applies voltage from the at least one portion through the attached plurality of electrodes. EIT data processing unit to measure and generate image data for the inside of the subject, a breath management unit for injecting air into the subject, and collecting breathing parameters of the subject based on the injected air, and the generated image data and the collected It may include a control unit for calculating the pulmonary function diagnostic variables using the respiratory parameters.

According to an embodiment of the present invention, the control unit changes the pressure and volume of the air injected by the respiratory management unit, and the EIT data processing unit is configured to adjust the air distribution and volume inside the lungs of the chest according to the changed pressure and volume. Generates image data for changes in airflow and changes in the area of the upper airway of the neck, and the respiratory management unit collects changes in the breathing parameters of the subject based on air injected according to the changed pressure and volume, , The control unit may calculate the pulmonary function diagnosis variable using the generated image data and changes in the respiratory parameters.

According to an embodiment of the present invention, the pulmonary function diagnosis variable may include at least one of the subject's respiratory system gain or sensitivity, the subject's respiratory deficiency threshold, and the upper airway response. .

According to an embodiment of the present invention, a method of operating a non-invasive mechanical ventilation system includes a step of injecting air into a subject in a breath management unit, and in an EIT data processing apparatus, a plurality attached to at least one of the chest and neck of the subject Measuring the voltage from the at least one site through the electrode of the step to generate image data for the interior of the subject, In the respiratory management unit, Collecting the breathing parameters of the subject based on the injected air In the control unit, The Estimating the amount of leakage of the injected air by comparing the collected respiratory parameters and the generated image data, and in the control unit, the injected air is based on one of the image data, the respiratory parameters, and the estimated leakage amount And controlling.

According to an embodiment of the present invention, an operation method of an EIT data processing apparatus is configured to supply current to at least one selected electrode pair among a plurality of electrodes attached to at least one of a subject's chest and neck in an image data generation unit. Step, in the image data generating unit, measuring the voltage through the unselected electrode among the plurality of electrodes to generate image data for the inside of at least one of the chest and the neck, in the air leakage estimator, Receiving a subject's breathing parameters, and comparing the received breathing parameters and the generated image data to estimate the amount of leakage of air injected into the subject, in the control signal generation unit, breath management based on the estimated amount of leakage Generating a control signal for controlling the air injected by the device and the delivery unit, may include transmitting the generated control signal to the respiratory management device.

According to an embodiment of the present invention, a method of operating a non-invasive mechanical ventilation system includes a step of injecting air into a subject in a breath management unit, and in the EIT data processing unit, a plurality of attachments to at least one of the chest and neck of the subject Measuring the voltage from the at least one site through an electrode to generate image data for the inside of the subject, in the breath management unit, collecting the breath parameters of the subject based on the injected air, and in the control unit, the And calculating lung function diagnosis variables using the generated image data and the collected respiratory parameters.

The present invention can increase the efficiency of non-invasive mechanical ventilation treatment by using an existing non-invasive treatment method and an electrical impedance tomography (EIT) method together.

The present invention can accurately estimate the amount of air leaking from the inside of the mask using an electric impedance tomography method in the treatment of non-invasive mechanical ventilation.

The present invention can accurately control the pressure and volume of the injected air in non-invasive mechanical ventilation treatment by accurately estimating the amount of leaked air.

The present invention can monitor the lung function based on electrical impedance tomography and generate a control signal for controlling the respiratory management device based on the monitoring.

The present invention can calculate the diagnostic parameters of a subject using monitoring of lung functions based on electrical impedance tomography and respiratory parameters of a subject collected through a mask.

The present invention can improve the therapeutic effect of respiratory diseases or muscular system diseases by accurately estimating the amount of air leaked from the mask in performing a non-invasive treatment method.

The present invention accurately estimates the amount of air leaked from the mask attached to the subject in performing a non-invasive treatment method, and controls one of the subject's lung functions by controlling one of the volume and pressure of the air injected through the mask based on the estimated air amount. Can improve.

The present invention can calculate diagnostic parameters for lung function diagnosis based on respiratory parameters collected through a mask and electrical impedance tomography.

1 is a view for explaining an embodiment of a non-invasive mechanical ventilation system according to an embodiment of the present invention.
2 is a view for explaining the components of a non-invasive mechanical ventilation system according to an embodiment of the present invention.
3A is a diagram illustrating components of an EIT data processing apparatus according to an embodiment of the present invention.
3B is a diagram illustrating a connection configuration between an EIT data processing device and a respiratory management device according to an embodiment of the present invention.
Figure 3c schematically shows a chest belt connected to an EIT data processing apparatus according to an embodiment of the present invention.
Figure 3d schematically shows a neck belt connected to the EIT data processing apparatus according to an embodiment of the present invention.
4 is a view for explaining a flowchart related to a method of operating a non-invasive mechanical ventilation system according to an embodiment of the present invention.
5 is a diagram for explaining a flowchart related to an operation method of an EIT data processing apparatus according to an embodiment of the present invention.
6 is a view for explaining a flowchart related to a method of operating a non-invasive mechanical ventilation system according to an embodiment of the present invention.
7 is a diagram illustrating components related to a cloud computing service of an EIT data processing apparatus according to an embodiment of the present invention.

Hereinafter, various embodiments of this document are described with reference to the accompanying drawings.

It should be understood that the embodiments and terms used therein are not intended to limit the technology described in this document to specific embodiments, and include various modifications, equivalents, and / or substitutes of the embodiments.

In the following description, when it is determined that detailed descriptions of related well-known functions or configurations in the description of various embodiments may unnecessarily obscure the subject matter of the present invention, detailed descriptions thereof will be omitted.

In addition, terms to be described later are terms defined in consideration of functions in various embodiments, which may vary according to a user's or operator's intention or practice. Therefore, the definition should be made based on the contents throughout this specification.

In connection with the description of the drawings, similar reference numerals may be used for similar elements.

Singular expressions may include plural expressions unless the context clearly indicates otherwise.

In this document, expressions such as “A or B” or “at least one of A and / or B” may include all possible combinations of items listed together.

Expressions such as "first," "second," "first," or "second," can modify the components, regardless of order or importance, to distinguish one component from another component It is used but does not limit the components.

When it is said that one (eg, first) component is “connected (functionally or communicatively)” to another (eg, second) component or is “connected,” the component is the other It may be directly connected to a component, or may be connected through another component (eg, a third component).

In the present specification, "configured to (or configured) (configured to)", depending on the situation, for example, in hardware or software, "suitable for," "with the ability to", "has been modified to" It can be used interchangeably with "made to do," "can do," or "designed to do."

In some situations, the expression "a device configured to" may mean that the device "can" with other devices or parts.

For example, the phrase “processors configured (or set) to perform A, B, and C” means by executing a dedicated processor (eg, an embedded processor) to perform the operation, or one or more software programs stored in the memory device. , It may mean a general-purpose processor (for example, a CPU or an application processor) capable of performing the corresponding operations.

In addition, the term 'or' means an inclusive OR 'inclusive or' rather than an exclusive OR.

That is, unless stated otherwise or unclear from the context, the expression 'x uses a or b' refers to any of the natural inclusive permutations.

The terms '.. part', '.. group', etc., used hereinafter, refer to a unit that processes at least one function or operation, which may be implemented by hardware or software, or a combination of hardware and software.

1 is a view for explaining an embodiment of a non-invasive mechanical ventilation system according to an embodiment of the present invention.

Specifically, FIG. 1 illustrates an environment in which a non-invasive mechanical ventilation system according to an embodiment of the present invention treats a subject's respiratory and muscular system diseases in a non-invasive manner.

Referring to Figure 1, the non-invasive mechanical ventilation system 100 includes an EIT (Electrical Impedance Tomography) data processing unit 110, breath management unit 120 and control unit 130.

According to an embodiment of the present invention, the non-invasive mechanical ventilation system 100 collects impedance data through the chest electrode part 111 and the neck electrode part 112.

In addition, in the non-invasive mechanical ventilation system 100, the respiratory management unit 120 injects air or collects respiratory parameters through a tube 121 connected to a mask.

According to an embodiment of the present invention, the chest electrode part 111 may be formed with a plurality of electrodes at regular intervals on the base plate.

For example, the base plate may have a certain length and width so as to measure the impedance in a state surrounded by the measurement target region including the subject's chest or abdomen, but the length and width can be modified according to embodiments. It is not limited to the chest electrode part 111.

As an example, the chest electrode part 111 is attached to the subject's chest to effectively measure the electric field distribution on the surface near the chest by changing the electrode arrangement structure and the measurement structure in a manner in which a plurality of electrodes are arranged in two or three dimensions. can do.

For example, the chest electrode part 111 may include a plurality of electrodes for current injection and voltage sensing.

Also, the thoracic electrode unit 111 may supply current to at least one selected electrode pair among a plurality of electrodes, and measure voltage through unselected electrodes.

For example, a plurality of electrodes included in the chest electrode part 111 are attached at a predetermined interval to a suitable position of the chest, such as between ribs 5-6, and the chest electrode part 111 injects alternating current between selected electrodes. And measure the induced voltage using the remaining electrodes.

 According to one embodiment of the present invention, the EIT data processing unit 110 may quantify the distribution and volume of air inside the lungs by imaging impedance data obtained through the chest electrode unit 111.

That is, the EIT data processing unit 110 may generate image data related to the air distribution and volume of the lung located inside the chest based on the voltage measured through the chest electrode unit 111.

According to an embodiment of the present invention, the neck electrode portion 112 may be formed with a plurality of electrodes at regular intervals on the base plate.

For example, the base plate may have a certain length and width to measure impedance while being put on the subject's neck, but the length and width can be modified according to embodiments, and limited to the neck electrode part 112 Does not work.

As an example, the neck electrode portion 112 is attached to the subject's neck to effectively measure the electric field distribution on the surface near the chest through a change in the electrode arrangement structure and measurement structure in a manner in which a plurality of electrodes are arranged in two or three dimensions. can do.

As an example, the neck electrode unit 112 may include a plurality of electrodes for current injection and voltage sensing.

In addition, the neck electrode unit 112 may supply current to at least one or more selected electrode pairs among a plurality of electrodes, and measure voltage through unselected electrodes.

 According to one embodiment of the present invention, the EIT data processing unit 110 may quantify the distribution and volume of air inside the lungs by imaging impedance data obtained through the chest electrode unit 111.

For example, the EIT data processing unit 110 may quantify the degree of closure of the upper airway by imaging impedance data obtained through the neck electrode unit 112.

For example, the EIT data processing unit 110 measures impedance using the chest electrode unit 111 or the neck electrode unit 112 and generates image data for the lungs or airways using the measured impedance. can do.

In addition, the EIT data processing unit 110 repeats this measurement while injecting a current between various electrodes. Using the measured voltage data induced by the plurality of injection currents, a change in the electrical conductivity of the chest section can be reconstructed as an image.

Here, the EIT data processing unit 110 may perform image restoration at a rate of 25 frames per second.

For example, the conductivity value of a lung tissue can be inversely proportional to the volume of air in the alveoli within that tissue.

Therefore, when all the pixel values of each image are added or the pixel values belonging to the lung region are added to create a signal that changes over time, this signal may indicate that the air volume inside the lung has changed over time.

According to an embodiment of the present invention, the respiratory management unit 120 may provide accurate inhalation and exhalation pressure or a single respiratory volume according to the degree of exchange function of the subject.

In one example, the respiratory management unit 120 may inject air into the subject while changing the air injection amount according to the degree of exchange function of the subject through a mask and a tube connected to the mask.

For example, the respiratory management unit 120 may detect air pressure and airflow signals inside the mask.

The breathing management unit 120 may include an air pump, and control the air pump to control the pressure and volume of the injected air.

In one example, the respiratory management unit 120 may inject air and collect a subject's respiratory parameters according to the air injection.

According to an embodiment of the present invention, the control unit 130 may control the EIT data processing unit 110 and the breath management unit 120.

For example, the controller 130 may measure the distribution and volume change of air in the lungs of the subject based on the impedance data obtained by controlling the EIT data processor 110.

In addition, the control unit 130 may control the air injection amount based on the respiratory parameters collected through the respiratory management unit 120 and the air distribution and volume change in the lung measured through the EIT data processing unit 110 or the area change of the upper respiratory tract. have.

According to an embodiment of the present invention, when the controller 130 maintains one of the volume and pressure of the air injected through the mask, the output value corresponding to one of the maintained volume and pressure is output titrated by the respiratory management unit 120 It can be determined as a value and controlled so that the injected air continues according to the determined output proper value.

That is, the present invention can determine the appropriate output value as the output of the respiratory management unit 120 and continuously supply air corresponding to the determined output.

In one example, the control unit 130 controls the breathing management unit 120 so that the air injected with the determined output proper value continues, but when the state change of the subject is detected through the EIT data processing unit, the The air injected through the mask is controlled.

That is, the control unit 130 may maintain the output of the air injected through the respiratory management unit 120 in general, and set it to automatically control the output of the air when necessary. Therefore, the present invention and the conventional non-invasive treatment method The electrical impedance tomography (EIT) method can be used together to increase the effectiveness of non-invasive mechanical ventilation therapy.

According to an embodiment of the present invention, the non-invasive mechanical ventilation system 100 may perform signal processing related to the collection of impedance data and respiratory parameters simultaneously with the non-invasive mechanical ventilation treatment.

That is, the non-invasive mechanical ventilation system 100 simultaneously performs imaging of impedance data and collection of respiratory parameters while improving the pulmonary function of a subject in a non-invasive manner or treating a disease of the nervous system.

For example, imaging of impedance data may be included in the process of generating image data.

As one of the treatments for improving lung function, there is a treatment for treating sleep apnea by injecting air into a subject through a mask.

An embodiment in which the non-invasive mechanical ventilation system 100 according to an embodiment of the present invention treats sleep apnea and the components of the non-invasive mechanical ventilation system 100 will be described in more detail in the description of FIG. 2.

2 is a view for explaining the components of a non-invasive mechanical ventilation system according to an embodiment of the present invention.

Referring to FIG. 2, the non-invasive mechanical ventilation system 200 includes an EIT data processing device 210, a breath management unit 220, and a control unit 230.

According to an embodiment of the present invention, the EIT data processing device 210 is attached to at least one of the chest and neck of the subject to be measured, and includes a plurality of electrodes for current injection and voltage detection.

In one example, the EIT data processing device 210 supplies current to at least one selected electrode pair among a plurality of electrodes, and measures voltage through unselected electrodes.

In addition, the EIT data processing apparatus 210 generates image data for at least one of the chest and neck from the impedance data generated based on the measured voltage.

For example, a plurality of electrodes may be attached along the chest of the subject to include an EIT electrode for measuring impedance data about the inside of the lung.

In addition, a plurality of electrodes may be attached along the subject's neck to include an EIT electrode for measuring impedance data for the area of the upper respiratory tract.

For example, the EIT data processing device 210 may process impedance data to generate image data.

The EIT electrode is used to inject a relatively low current that the subject cannot detect, for example, a high frequency current of 1 mA or less, and to measure the induced voltage, and the current-voltage data measured through the EIT electrode is computed through the imaging algorithm to the chest (lung ) It can be used to detect the shape and structural changes that cause the closure.

In addition, the current-voltage data measured through the EIT electrode can be used to detect structural changes in the neck through an imaging algorithm.

According to an embodiment of the present invention, the EIT data processing apparatus 210 controls selection of at least one electrode pair in a plurality of electrodes, controls selection of unselected electrodes, and injects air-based chest and neck. It generates image data for at least one internal change.

That is, the EIT data processing device 210 images the lungs and airways located inside the chest and neck that change depending on the injected air.

According to an embodiment of the present invention, the EIT data processing apparatus 210 may inject a current having a plurality of frequency ranges through at least one selected electrode pair among a plurality of electrodes attached to a subject's chest.

In one example, the EIT data processing apparatus 210 selects the selected electrode pair and frequency, generates a voltage signal according to the selected frequency, converts it into current, and injects the converted current into the chest or neck of the subject through the selected electrode pairs. can do.

Also, the EIT data processing apparatus 210 may measure the induced voltage according to a current injected from unselected electrodes among a plurality of electrodes.

For example, the EIT data processing apparatus 210 removes noise included in the detected voltage based on the measured slope of the voltage and, when the slope of the detected voltage exceeds a preset threshold, increases the threshold value. The voltage in the excess section can be replaced with a preset voltage value.

According to an embodiment of the present invention, the respiratory management unit 220 may inject air into the subject and collect breathing parameters of the subject based on the injected air.

In one example, the breathing management unit 220 includes a mask in contact with one of the subject's nose and mouth and a tube connected to an inlet opposite the mask, injecting air into the subject through the mask, and injecting air into the mask Breathing parameters related to air pressure and airflow signals can be collected.

Preferably, the breathing parameters are sampled almost simultaneously or simultaneously with the reading of the impedance image.

For example, the breathing parameters include the shape of the subject's breathing curve, the change in the shape of the subject's breathing curve, the breathing curve based on the subject's inspiratory volume, the breathing curve based on the subject's exhalation volume, and the breathing curve based on the subject's inspiratory pressure. , A breathing curve based on the subject's exhalation pressure, a breathing curve based on the subject's inspiratory flow, a breathing curve based on the subject's exhalation, and a change in the interval between subjects' breaths, and combinations thereof. have.

In addition, the respiratory parameters may be related to the subject's respiratory rate, the subject's respiratory pressure, the subject's respiratory airflow, the subject's end-tidal CO ₂ , the subject's sublingual CO ₂ , and the subject's respiratory intensity.

According to an embodiment of the present invention, the breathing management unit 220 may include an external device connection unit 221 to which at least one of an air purifier, a replaceable water bottle, and a replaceable oxygen can is connected.

For example, the respiratory management unit 220 may provide purified air from the air purifier as the subject through the external device connection unit 221, or spray moisture supplied from a replaceable water bottle to adjust the humidity of the air supplied to the subject. have.

In addition, the respiratory management unit 220 may provide oxygen supplied from the replaceable oxygen can to the subject through the external device connection unit 221.

In addition, the respiratory management unit 220 may provide a specific substance contained in the moisture of the replaceable water bottle as a subject through the external device connection unit 221.

For example, certain substances may include water-soluble vitamins, water-soluble vaccines, water-soluble therapeutic agents, and the like that are soluble in water.

Accordingly, the respiratory management unit 220 may control the humidity of the air supplied to the subject while spraying moisture to the subject and provide the subject with a specific substance.

In one example, the external device connection unit 221 may include a converter type connection unit into which an air purifier cable, a replaceable oxygen can, and a replaceable water bottle can be inserted.

Accordingly, the present invention can provide purified air contained in an air purifier and purified oxygen contained in an oxygen can as a subject, thereby providing health care medical services to normal patients as well as patients with respiratory diseases.

According to an embodiment of the present invention, the control unit 230 may control the EIT data processing device 210 and the respiratory management unit 220.

In one example, the controller 230 may compare the breathing parameters and image data to estimate the amount of leaked air.

Therefore, the present invention can accurately estimate the amount of air leaking from the inside of the mask using an electric impedance tomography method in the treatment of non-invasive mechanical ventilation.

Also, the controller 230 may control the pressure and volume of the injected air based on the estimated leakage amount.

For example, the controller 230 may calculate the airflow signal inside the lung by differentiating the monitored change in the air volume inside the lung, and estimate the amount of leaked air compared to the airflow signal measured in the mask.

According to an embodiment of the present invention, when the estimated leakage amount is greater than the reference value, the controller 230 increases one of the volume and pressure of the air injected through the mask, and when the estimated leakage amount is less than the reference value, through the mask It can maintain one of the volume and pressure of the injected air.

Here, the reference value may correspond to a reference value for indicating that the air injected through the mask normalizes lung function.

For example, when the leakage amount is greater than the reference value, the control unit 230 determines that air corresponding to the reference value for indicating normalization of lung function is not injected, and when the leakage amount is less than the reference value, the control unit 230 uses the reference value for improving lung function. It is judged that the corresponding air is injected.

That is, the present invention can accurately control the pressure and volume of the injected air in the non-invasive mechanical ventilation treatment by accurately estimating the amount of leaked air.

For example, the reference value can relate to image data for the volume of the lung that changes with the intake air.

According to another embodiment of the present invention, the control unit 230 may calculate the lung function diagnosis variable using the generated image data and the collected respiratory parameters.

In one example, the control unit 230 arbitrarily changes the pressure and volume of the air injected by the respiratory management unit 220.

In addition, the control unit 230 controls the EIT data processing apparatus to image changes in air distribution and volume and airflow in the lungs of the chest according to the changed pressure and volume, and generate image data for changes in the upper airway area of the neck. .

In one example, the control unit 230 acquires a change in breathing parameters collected by the breathing management unit 220. Here, the change in breathing parameters can be based on the air being injected according to the changed pressure and volume.

In addition, the control unit 230 may calculate the lung function diagnosis variable using the imaged air distribution, the change in volume and airflow, and the change in respiratory parameters.

That is, the control unit 230 controls the respiratory management unit 220 to change the pressure and volume of the injected air while monitoring the change in the lungs and upper respiratory tract of the subject through the EIT data processing device 210 and the respiratory management unit 220. The lung function diagnostic parameters can be calculated.

For example, the pulmonary function diagnostic variable may include at least one of a gain of a non-invasive mechanical ventilation system, a subject's arousal threshold, and upper respiratory responsiveness.

The present invention can calculate the diagnostic parameters of a subject using monitoring of lung functions based on electrical impedance tomography and respiratory parameters of a subject collected through a mask.

In addition, the present invention can improve the therapeutic effect of respiratory diseases or muscular system diseases by accurately estimating the amount of air leaked from the mask in performing a non-invasive treatment method.

In addition, the present invention accurately estimates the amount of air leaked from the mask attached to the subject in performing a non-invasive treatment method, and controls one of the volume and pressure of the air injected through the mask based on the estimated air amount. It can improve lung function.

According to an embodiment of the present invention, the non-invasive mechanical ventilation system 200 connects the non-invasive mechanical ventilation to the mask worn by the subject and induces the subject's natural sleep. Here, the non-invasive-buck mechanical ventilation includes a breath management unit.

The non-invasive mechanical ventilation system 200 sets the output air pressure or volume of the respiratory management unit 220 to a minimum value when sleep starts.

The non-invasive mechanical ventilation system 200 uses the EIT data processing device 210 to measure a change signal in the air volume inside the lung, and calculates an unresolved airflow signal.

In addition, the non-invasive mechanical ventilation system 200 measures the air pressure and airflow signals of the mask through the respiratory management unit 220.

In addition, the non-invasive mechanical ventilation system 200 estimates the amount of air leaking from the mask by comparing the air volume change signal inside the lung with the mask air pressure and airflow signal.

In addition, the non-invasive mechanical ventilation system 200 detects the occurrence of apnea or hypoventilation using a change signal in the air volume inside the lung.

In addition, the non-invasive mechanical ventilation system 200 continuously estimates the amount of air leaking from the mask while increasing the output air pressure or volume of the respiratory management unit 220 when apnea or hypoventilation occurs.

While determining whether the frequency of occurrence of apnea or hypoventilation decreases according to an increase in the output air pressure or volume of the breathing management unit 220, a minimum value of the output air pressure or volume of the respiratory management unit 220 in which apnea or hypoventilation does not occur is found.

At this time, the amount of air leaking from the mask can be continuously estimated. The above-described process may be a procedure for estimating air titration (PAP titration) for improving lung function.

Thereafter, the non-invasive mechanical ventilation system 200 may set the minimum value of the output air pressure or volume of the breath management unit 220 found by the air titration estimation procedure as the default value of the breath management unit 220 operating in the CPAP method.

The non-invasive mechanical ventilation system 200 maintains the default setting when the patient adapts to the CPAP method when the respiratory management unit 220 is used without impedance data measurement.

If the patient does not adapt to the CPAP method again when the respiratory management unit 220 is used without measuring the impedance data, the procedure for estimating the appropriate amount of air using the respiratory management unit 220 and the EIT data processing device 210 is repeated.

If the amount of air leaking from the mask changes compared to the previous air titration estimation result, correct the mask wearing method or replace the mask and perform the air titration estimation procedure again.

For example, when the amount of air leaked from the mask is not changed in the non-invasive mechanical ventilation system 200, but the patient does not adapt to the CPAP method, the output air of the respiratory management unit 220 according to the result of the newly performed air titration estimation procedure The minimum value of pressure or volume is compared to the value obtained in the results of the previous air titration estimation procedure.

Next, the non-invasive mechanical ventilation system 200 uses the new value as the default setting when the value is changed.

In one example, the non-invasive mechanical ventilation system 200, when the patient does not adapt to the CPAP method by the iterative air titration procedure, always performs measurement using the EIT data processing device during use of the respiratory management unit 220 to breathe The output air pressure or volume of the management unit 220 may be continuously controlled in real time.

3A is a diagram illustrating components of an EIT data processing apparatus according to an embodiment of the present invention.

Specifically, FIG. 3A relates to an embodiment in which the EIT data processing device is configured as a separate device from the respiratory management device to control air injection of the respiratory management device.

Referring to FIG. 3A, the EIT data processing apparatus 300 includes an electrode unit 301, an image data generation unit 302, an air leakage amount estimation unit 303, a control signal generation unit 304, and a transmission unit 305. Includes.

Further, the EIT data processing device 300 may be directly connected to the respiratory management device 310 through a serial cable or may be connected through short-range wireless communication such as Bluetooth or Wi-Fi.

Also, the EIT data processing device 300 may be a separate device from the respiratory management device 310.

According to an embodiment of the present invention, the electrode unit 301 is formed with a plurality of electrodes for current injection and voltage sensing, and may be attached to at least one of the chest and neck of the subject to be measured.

Here, the electrode part 301 may include a chest electrode part and a neck electrode part described in FIG. 1.

According to an embodiment of the present invention, the image data generator 302 may supply current to at least one selected electrode pair among a plurality of electrodes.

In addition, the image data generator 302 may measure voltage through unselected electrodes to generate image data for at least one of the chest and the neck from impedance data.

According to an embodiment of the present invention, the image data generator 302 controls selection of at least one electrode pair from a plurality of electrodes, controls selection of unselected electrodes, and is injected by the respiratory management device 310. It is possible to generate image data for internal changes of at least one of the chest and neck based on the air.

According to an embodiment of the present invention, the delivery unit 305 may transmit image data and signal data extracted from the image data to the respiratory management device 310.

For example, the signal data may include at least one of voltage signal data, current signal data, impedance signal data, and frequency signal data.

According to an embodiment of the present invention, the delivery unit 303 may transmit a control signal to the respiratory management device 310.

That is, the delivery unit 303 may transmit a control signal for controlling one of the volume and pressure of the air to the respiratory management device 310 using wired / wireless communication.

According to an embodiment of the present invention, the air leakage amount estimator 304 may receive a breathing parameter according to a subject's breathing, and compare the received breathing parameter and generated image data to estimate the amount of air leaked into the subject. have.

As an example, the air leakage estimator 304 may monitor any one of a change in the air volume inside the lung and a change in the degree of airway obstruction based on image data.

In addition, the air leakage estimator 304 calculates an airflow signal by differentiating the monitored air volume change in the lung, and compares the airflow signal in the mask included in the respiratory management device 310 with the calculated airflow signal to determine the air leakage amount. Can be estimated.

According to an embodiment of the present invention, the control signal generation unit 305 may generate a control signal for controlling the pressure and volume of air injected by the respiratory management device 310 based on the estimated leakage amount.

That is, the control signal generator 305 may generate a control signal for controlling the pressure and volume of the air injected by the respiratory management device 310 to improve the lung function of the subject.

The present invention can monitor the lung function based on electrical impedance tomography and generate a control signal for controlling the respiratory management device based on the monitoring.

According to an embodiment of the present invention, the control signal generator 305 controls the respiratory management apparatus 310 to increase one of the volume and pressure of air injected through the mask when the estimated leakage amount is greater than the reference value. For generating control signals.

In addition, when the estimated leakage amount is smaller than the reference value, the control signal generation unit 305 may generate a control signal for controlling the respiratory management device 310 to maintain one of the volume and pressure of the air injected through the mask. have.

3B is a diagram illustrating a connection configuration between an EIT data processing device and a respiratory management device according to an embodiment of the present invention.

Referring to FIG. 3B, a configuration in which the EIT data processing device 320 is connected to the respiratory management device 330 is specifically illustrated.

According to an embodiment of the present invention, the EIT data processing device 320 may be connected to the respiratory management device 330 using a cable.

The EIT data processing device 320 may include the same components as the EIT data processing device 310 shown in FIG. 3A.

That is, the EIT data processing device 320 may control the air injection of the respiratory management device 330 by generating a control signal and transmitting it to the respiratory management device 330.

In addition, the EIT data processing apparatus 320, like the EIT data processing unit 110 of FIG. 1, can acquire impedance data through the chest electrode part attached to the subject and generate image data for the lung located inside the chest. have.

In addition, the EIT data processing apparatus 320 may acquire impedance data through the neck electrode unit and generate image data for the upper respiratory tract located inside the neck.

According to another embodiment of the present invention, the EIT data processing device 320 acquires impedance data through an electrode branched from a cable connected to the mask of the respiratory management device 330 to obtain image data for one of the lungs and upper respiratory tract. Can be created.

That is, the EIT data processing device 320 may generate image data for the lungs and upper respiratory tract using impedance data measured by the respiratory management device 330.

Figure 3c schematically shows a chest belt connected to an EIT data processing apparatus according to an embodiment of the present invention.

Referring to FIG. 3C, the chest belt 340 may be connected to the EIT data processing device 320 illustrated in FIG. 3B.

The chest belt 340 includes an electrical cable 341, a laser cable 342 and an electrode belt 343.

The electrode belt 343 may correspond to the chest electrode portion 111 shown in FIG. 1.

Figure 3d schematically shows a neck belt connected to the EIT data processing apparatus according to an embodiment of the present invention.

Referring to FIG. 3D, the neck belt 350 may be connected to the EIT data processing device 320 shown in FIG. 3B.

The neck belt 350 may transmit and receive electricity and data through the cable 351.

The neck belt 350 may correspond to the neck electrode part 112 illustrated in FIG. 1.

4 is a view for explaining a flowchart related to a method of operating a non-invasive mechanical ventilation system according to an embodiment of the present invention.

Specifically, FIG. 4 illustrates a non-invasive mechanical ventilation treatment procedure of a subject in a method of operating a non-invasive mechanical ventilation system.

Referring to FIG. 4, in step 401, a method of operating a non-invasive mechanical ventilation system injects air into a subject.

That is, the method of operating the non-invasive mechanical ventilation system injects air into the subject through the mask of the respiratory management unit.

The operation method of the non-invasive mechanical ventilation system in step 402 generates image data for the inside of the subject by measuring the voltage from the at least one site through a plurality of electrodes attached to at least one of the subject's chest and neck. do.

That is, the method of operating the non-invasive mechanical ventilation system uses a plurality of electrodes to measure a voltage related to the interior of at least one of the chest and neck, and generates image data for the interior of one of the chest and neck.

However, when the electrode part including a plurality of electrodes is worn on the chest and neck at the same time, the non-invasive mechanical ventilation system can selectively image the chest and neck.

In step 403 the method of operation of the non-invasive mechanical ventilation system collects the subject's breathing parameters.

That is, the method of operation of the non-invasive mechanical ventilation system collects respiratory parameters that are changed based on breathing according to the air injected into the subject through the mask.

Here, the breathing parameters may include air pressure and airflow signals inside the mask. That is, the breathing parameters can be related to air pressure and airflow signals inside the mask when the subject breathes.

The method of operating the non-invasive mechanical ventilation system in step 404 estimates the amount of air leakage by comparing the generated image data and the collected respiratory parameters.

That is, the method of operating the non-invasive mechanical ventilation system calculates an airflow signal by differentiating a change in the volume of air inside the lungs monitored based on impedance data, and estimates the amount of air leaked from the mask by comparing the airflow signal in the mask.

The method of operation of the non-invasive mechanical ventilation system in step 405 controls the air that is injected based on the estimated amount of leakage.

That is, the method of operating the non-invasive mechanical ventilation system improves the efficiency of the non-invasive mechanical ventilation treatment by controlling one of the volume and pressure of the injected air according to the amount of air leaking from the mask.

In other words, the operation method of the non-invasive mechanical ventilation system increases the pressure and volume of the air when it is determined that the amount of air leaking from the mask is greater than the reference value, so that sufficient air is injected into the subject to improve lung function. Control.

5 is a diagram for explaining a flowchart related to an operation method of an EIT data processing apparatus according to an embodiment of the present invention.

Specifically, FIG. 5 illustrates an embodiment in which the operation method of the EIT data processing apparatus generates a control signal for controlling the pressure and volume of air injected into the subject based on impedance data measurement in order to improve the lung function of the subject. do. Hereinafter, an operation method of the EIT data processing apparatus will be described as an apparatus operation method.

Referring to FIG. 5, in step 501, the device operation method supplies current to selected electrode pairs among a plurality of electrodes attached to one of the chest and neck.

That is, the method of operating the device supplies current to at least one selected electrode pair of a plurality of electrodes attached to at least one of the chest and neck of the subject to be measured.

In step 502, the device operation method measures voltage through unselected electrodes among a plurality of electrodes to image the inside of one of the chest and neck.

That is, the device operation method measures voltage through unselected electrodes among a plurality of electrodes to image the inside of at least one of the chest and the neck from impedance data.

According to another embodiment of the present invention, before performing the step 503, the apparatus operation method may transmit the image data generated in the step 502 and the signal data extracted from the image data to the respiratory management apparatus.

In step 503, the device operating method receives the respiratory parameters and estimates the amount of air leakage based on the received respiratory parameters and the imaged interior.

That is, the device operation method may receive the subject's breathing parameters and estimate the amount of leakage of air injected into the subject based on the received breathing parameters and the imaged interior.

The method of operating the device in step 504 generates a control signal to control the pressure and volume of air injected by the respiratory management device.

That is, the device operating method generates a control signal for controlling the pressure and volume of air injected by the respiratory management device based on the estimated leakage amount.

Here, the control signal may be generated to improve the lung function of the subject.

The method of operating the device in step 505 transfers the control signal generated in step 504 to the respiratory management device.

6 is a view for explaining a flowchart related to a method of operating a non-invasive mechanical ventilation system according to an embodiment of the present invention.

Specifically, FIG. 6 illustrates an embodiment in which a method of operating a non-invasive mechanical ventilation system calculates a lung function diagnosis variable based on breathing parameters and image data generated by the EIT data processing unit.

6, the operation method of the non-invasive mechanical ventilation system is described as a system operation method.

Referring to FIG. 6, in step 601, the method of operating the system injects air into the subject.

That is, in the system operation method, air is injected into the subject through the mask of the breath management unit.

In step 602, the system operation method supplies current to a selected electrode among a plurality of electrodes, and measures voltage with an unselected electrode to generate image data about the inside of the subject.

That is, the system operation method measures impedance related to the inside of one of the chest and neck using a plurality of electrodes, and generates image data for the inside of one of the chest and neck using the impedance data.

In step 603, the system operating method collects the subject's breathing parameters.

That is, in the system operation method, the subject breathes using the air injected into the subject through the mask, and collects respiratory parameters changed based on the breath. Here, the breathing parameters may include air pressure and airflow signals inside the mask.

In step 604, the system operation method calculates lung function diagnosis variables using image data and respiratory parameters.

That is, the system operation method calculates the lung function diagnosis variables based on the distribution of air inside the lungs, changes in volume and airflow, and changes in the upper airway area of the neck.

Pulmonary function diagnostic parameters include at least one of the subject's respiratory system gain or sensitivity, the subject's respiratory deficiency-induced arousal threshold and upper respiratory response.

The system operation method can diagnose the severity and cause of sleep apnea using the lung function diagnostic parameters.

In addition, the method of operating the system changes the air pressure applied to the airways. Thereafter, the system operation method can determine the severity and cause of sleep apnea by using the EIT data processing unit to measure changes in the upper respiratory tract area by impedance tomography in the area near the neck and using it to calculate the upper respiratory response.

In addition, the system operation method measures the air distribution and volume in the lungs by impedance tomography in the chest while changing the air pressure applied to the airway to the respiratory management unit.

Next, the system operation method can determine the severity and cause of sleep apnea by calculating the gain, arousal threshold, and upper respiratory response of the respiratory control system by measuring the area of the upper respiratory tract by impedance tomography in the area near the neck.

For example, the system operation method may diagnose a sleep apnea severity and cause, and establish a sleep apnea treatment plan that determines a sleep apnea treatment method.

7 is a diagram illustrating components related to a cloud computing service of an EIT data processing apparatus according to an embodiment of the present invention.

Specifically, FIG. 7 illustrates an embodiment in which the EIT data processing device provides the subject's biometric data to at least one of a plurality of Internet of things (IoT) and a user terminal device using a cloud computing service. .

Referring to FIG. 7, the EIT data processing device 710 is connected to the respiratory management device 700 through wired / wireless.

In addition, as described with reference to FIG. 3, the EIT data processing device 710 may generate and transmit a control signal for controlling the air injection of the respiratory management device 700.

In one example, the EIT data processing device 710 transmits and receives data to and from at least one of a plurality of Internet of Things devices and a user terminal device through a network.

According to an embodiment of the present invention, the EIT data processing apparatus 710 includes a delivery unit (not shown).

In one example, the delivery unit (not shown) transmits the subject's biometric data based on one of image data and signal data to at least one of a plurality of Internet of Things devices and a user terminal device using a cloud computing service.

For example, the EIT data processing apparatus 710 may generate at least one image data of at least one of the lung and upper respiratory tract that changes in real time through a plurality of electrodes attached to at least one portion of the subject's chest and neck.

According to an embodiment of the present invention, the subject's biological data includes electrocardiography, heartbeat, arrhythmia, lung ventilation imaging, tidal volume, apnea, Hypopnea, body position, movement, snoring sound, body composition, and personal health state. have.

In addition, the EIT data processing device 710 may output a two-dimensional image of the lung or upper respiratory tract using the first IoT device 720 using the cloud computing service.

For example, the EIT data processing device 710 may display an image of the lung or upper respiratory tract using the second Internet of Things device 721 using a cloud computing service.

As an example, the EIT data processing device 710 may detect a change in a subject's personal health state and change a photographing direction of the third Internet of Things device 722 using a cloud computing service according to the change.

For example, the EIT data processing device 710 may detect a change in a subject's personal health state and change the operating state of the fourth Internet of Things device 723 using a cloud computing service.

For example, the EIT data processing device 710 may transmit the subject's biometric data to the user terminal device 724 and recommend an application related to the biometric data using a cloud computing service.

In one example, the EIT data processing device 710 may provide a web service based on the subject's biometric data to the user terminal device 724 using a cloud computing service.

In addition, the EIT data processing device 710 may share the subject's biometric data, such as smart watches, bands, scales, etc., which are components of the home IoT platform.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination.

The program instructions recorded in the medium may be specially designed and configured for the embodiments or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specifically configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like.

Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by a limited embodiment and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques are performed in a different order than the described method, and / or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if substituted or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

200: non-invasive mechanical ventilation system 210: EIT data processing device
220: breath management unit 230: control unit

Claims (22)

It includes a plurality of electrodes attached to at least one part of the subject's chest and neck, and measures one of the current and voltage from the at least one part through the attached plurality of electrodes to obtain image data for the inside of the subject. EIT data processing unit to generate;
A breath management unit that injects air into the subject and collects the breath parameters of the subject based on the injected air; And
Comprising a control unit for estimating the amount of leakage of the injected air by comparing the collected breathing parameters and the generated image data, and controls the injected air,
The control unit changes the pressure and volume of the air injected by the breathing management unit, and the EIT data processing unit changes the air distribution and volume and airflow in the lungs of the chest and the upper airway of the neck according to the changed pressure and volume ( upper airway) generates image data on the area change, and the respiratory management unit collects and provides a change in the breathing parameter of the subject based on the injected air according to the changed pressure and volume, and provides it to the control unit, and the control unit generates the A non-invasive mechanical ventilation system that calculates pulmonary function diagnostic variables using image data and changes in the respiratory parameters. The method according to claim 1,
The EIT data processor controls selection of at least one electrode pair from the attached plurality of electrodes, supplies current to the selected electrode pair, controls selection of the unselected electrodes, and selects the unselected electrodes. A non-invasive mechanical ventilation system that measures voltage through them and generates real-time image data for internal changes of at least one of the chest and the neck based on the injected air. The method according to claim 2,
The control unit is a non-invasive mechanical ventilation system that monitors any one of changes in the air volume inside the lungs and the degree of airway obstruction based on the generated image data. The method according to claim 3,
The breathing management unit includes a mask in contact with one of the subject's nose and mouth and a tube connected to the mask, and injects the air into the subject through the mask, and when the air is injected, the air pressure in the mask And a non-invasive mechanical ventilation system that collects the respiratory parameters associated with airflow signals. The method according to claim 4,
The control unit differentiates the monitored air volume change inside the lung to calculate an airflow signal, and compares the airflow signal in the mask with the calculated airflow signal to estimate the amount of leakage. The method according to claim 5,
When the estimated leakage amount is greater than the reference value, the controller increases one of the volume and pressure of the air injected through the mask, and when the estimated leakage amount is less than the reference value, the volume of air injected through the mask And a non-invasive mechanical ventilation system that maintains one of the pressures. The method according to claim 6,
When the controller maintains one of the volume and pressure of the air injected through the mask, the control unit determines an output value corresponding to one of the maintained volume and pressure as an output proper value of the respiratory management unit, and the determined output proper value. In accordance with the non-invasive mechanical ventilation system to control the air to be injected. The method according to claim 7,
The control unit controls the breathing management unit so that the injected air is maintained at the determined output proper value, but when the subject's state change is detected through the EIT data processing unit, through the mask according to the detected state change A non-invasive mechanical ventilation system that controls the injected air. The method according to claim 1,
The breathing management unit includes an external device connection unit to which at least one of an air purifier, a replaceable water bottle, and a replaceable oxygen can is connected,
The breathing management unit provides air purified by the air purifier to the subject through the external device connection, and sprays moisture supplied from the replaceable water bottle through the external device connection to increase the humidity of the air supplied to the subject. A non-invasive mechanical ventilation system that regulates and provides oxygen supplied from the replaceable oxygen can to the subject through the external device connection. The method according to claim 9,
The respiratory management unit is a non-invasive mechanical ventilation system that provides a specific substance contained in the supplied moisture as the subject through the external device connection. A plurality of electrodes for current injection and voltage sensing, and electrode portions attached to at least one of a subject's chest and neck;
An image data generator that supplies current to at least one selected pair of electrodes among the plurality of electrodes, and measures voltage through unselected electrodes to generate image data for at least one of the chest and the neck;
The air leakage amount is calculated by receiving a breathing parameter according to the subject's breathing from a breathing management device and estimating a leak amount of air injected into the subject by comparing one of the received breathing parameter and the generated image data and extracted signal data. government;
A control signal generator for generating a control signal for controlling air injected by the respiratory management device based on the estimated leakage amount; And
A breathing management device, comprising a signal transmission unit for transmitting the image data and the signal data extracted from the image data, and a control signal generated by the control signal generation unit,
The control signal generation unit changes the pressure and volume of the air injected by the respiratory management device, and the image data generation unit changes the air distribution and volume and airflow in the lungs of the chest and changes the volume and airflow according to the changed pressure and volume. Generating image data on the change in the area of the upper airway, and the respiratory management device collects a change in the breathing parameter of the subject based on air injected according to the changed pressure and volume and provides it to the control signal generator , The control signal generation unit EIT data processing apparatus for calculating the lung function diagnostic variables using the generated image data and the change of the respiratory parameters. The method according to claim 11,
The image data generation unit controls selection of at least one electrode pair from the plurality of electrodes, controls selection of the unselected electrodes, and at least one of the chest and the neck according to the air injected by the respiratory management device. EIT data processing device that generates image data for one internal change in real time. The method according to claim 12,
The air leakage estimator monitors any one of a change in the air volume inside the lung and a change in the degree of airway obstruction based on the generated image data, calculates an airflow signal by differentiating the monitored change in the air volume inside the lung, and breathes EIT data processing apparatus for estimating the amount of leakage by comparing the airflow signal in the mask included in the management device and the calculated airflow signal. The method according to claim 13,
The control signal generation unit generates a control signal for controlling the respiratory management device to increase one of the volume and pressure of the air injected through the mask when the estimated leakage amount is greater than the reference value, and the estimated leakage amount If less than the reference value, EIT data processing device for generating a control signal for controlling the respiratory management device to maintain one of the volume and pressure of the air injected through the mask. The method according to claim 14,
The signal transmission unit is an EIT data processing device for transmitting at least one of a plurality of Internet of Things devices and a user terminal device using a cloud computing service, and transmitting the subject's biometric data based on one of the image data and the signal data. It includes a plurality of electrodes attached to at least one part of the subject's chest and neck, and measures one of the current and voltage from the at least one part through the attached plurality of electrodes to obtain image data for the inside of the subject. EIT data processing unit to generate;
A breath management unit that injects air into the subject and collects the breath parameters of the subject based on the injected air; And
Comprising a control unit for estimating the amount of leakage of the injected air by comparing the collected breathing parameters and the generated image data, and controls the injected air,
The breathing management unit includes an external device connection unit to which at least one of an air purifier, a replaceable water bottle, and a replaceable oxygen can is connected,
The breathing management unit provides air purified by the air purifier to the subject through the external device connection, and sprays moisture supplied from the replaceable water bottle through the external device connection to increase the humidity of the air supplied to the subject. A non-invasive mechanical ventilation system that regulates and provides oxygen supplied from the replaceable oxygen can to the subject through the external device connection.
EIT data including a plurality of electrodes attached to at least one portion of a subject's chest and neck, and measuring image voltage from the at least one portion through the attached plurality of electrodes to generate image data about the inside of the subject Processing unit;
A breath management unit that injects air into the subject and collects the breath parameters of the subject based on the injected air; And
And a control unit for calculating a lung function diagnosis variable using the generated image data and the collected respiratory parameters,
The control unit changes the pressure and volume of the air injected by the breathing management unit, and the EIT data processing unit changes the air distribution and volume and airflow in the lungs of the chest and the upper airway of the neck according to the changed pressure and volume ( upper airway) generates image data on the area change, and the respiratory management unit collects and provides a change in the breathing parameter of the subject based on the injected air according to the changed pressure and volume, and provides it to the control unit, and the control unit generates the A non-invasive mechanical ventilation system that calculates pulmonary function diagnostic variables using image data and changes in the respiratory parameters.
delete The method according to claim 17,
The pulmonary function diagnosis variable is a non-invasive mechanical ventilation system including at least one of the subject's respiratory system gain or sensitivity, the subject's respiratory deficiency-induced arousal threshold and the upper airway responsiveness.
In the respiratory management unit, injecting air into the subject;
Generating, by the EIT data processing unit, voltage from the at least one site through a plurality of electrodes attached to at least one of the subject's chest and neck to generate image data for the inside of the subject;
In the respiratory management unit, collecting the breathing parameters of the subject based on the injected air;
Estimating a leakage amount of the injected air by comparing the collected breathing parameters and the generated image data in a control unit; And
And controlling, by the control unit, the injected air based on one of the image data, the breathing parameter, and the estimated leakage amount,
The control unit changes the pressure and volume of the air injected by the respiratory management unit, and the EIT data processing unit changes the air distribution and volume and airflow in the lungs of the chest and the upper airway of the neck according to the changed pressure and volume. airway) generates image data for area change, and the respiratory management unit collects and provides a change in the breathing parameter of the subject based on the air injected according to the changed pressure and volume, and provides it to the control unit, and the control unit generates the generated image A method of operating a non-invasive mechanical ventilation system for calculating a lung function diagnostic variable using data and changes in the respiratory parameters.
Supplying current to at least one selected electrode pair of a plurality of electrodes attached to at least one portion of the subject's chest and neck in the image data generation unit;
Generating image data for the inside of at least one of the chest and the neck by measuring a voltage through electrodes not selected from the plurality of electrodes in the image data generation unit;
In the air leakage estimator, receiving the subject's breathing parameters, and comparing the received breathing parameters and the generated image data to estimate the amount of leakage of air injected into the subject;
In the control signal generating unit, generating a control signal for controlling the air injected by the respiratory management device based on the estimated leakage amount; And
In the delivery unit, comprising the step of transmitting the generated control signal to the respiratory management device,
The control signal generation unit changes the pressure and volume of the air injected by the respiratory management device, and the EIT data processing unit changes the air distribution and volume and airflow in the lungs of the chest according to the changed pressure and volume, and the Generates image data for changes in the area of the upper airway, and the respiratory management device collects a change in the breathing parameters of the subject based on air injected according to the changed pressure and volume and provides it to a control signal generator, The control signal generation unit is an operation method of the EIT data processing apparatus for calculating a lung function diagnosis variable by using the generated image data and changes in the respiratory parameters.
In the respiratory management unit, injecting air into the subject;
Generating, by the EIT data processing unit, voltage from the at least one site through a plurality of electrodes attached to at least one of the subject's chest and neck to generate image data for the inside of the subject;
In the respiratory management unit, collecting the breathing parameters of the subject based on the injected air; And
In the control unit, using the generated image data and the collected breathing parameters include calculating a lung function diagnostic variable,
The control unit changes the pressure and volume of the air injected by the breathing management unit, and the EIT data processing unit changes the air distribution and volume and airflow in the lungs of the chest and the upper airway of the neck according to the changed pressure and volume ( upper airway) generates image data on the area change, and the respiratory management unit collects and provides a change in the breathing parameter of the subject based on the injected air according to the changed pressure and volume, and provides it to the control unit, and the control unit generates the A method of operating a non-invasive mechanical ventilation system that calculates a pulmonary function diagnosis variable using image data and changes in the respiratory parameters.

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