CN115089155B - Cardiopulmonary resuscitation parameter monitoring method and cardiopulmonary resuscitation monitoring device - Google Patents

Abstract

The embodiment of the application provides a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device, wherein the method comprises the following steps: if the port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module; if the port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression motion parameter detection module, acquiring a pulse signal based on the pulse detection module and a motion parameter based on the external chest compression motion parameter detection module, and determining a blood flow parameter according to a pulse waveform and the motion parameter; outputting blood flow parameters; therefore, smooth progress of monitoring of blood flow parameters of the patient is guaranteed, and flexibility, timeliness and persistence of monitoring are improved.

Description

Cardiopulmonary resuscitation parameter monitoring method and cardiopulmonary resuscitation monitoring device

Technical Field

The present invention relates to the field of medical monitoring, and in particular to a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device.

Background Art

Cardiopulmonary resuscitation (CPR) is a life-saving technique for sudden cardiac and respiratory arrest, with the aim of restoring the patient's spontaneous breathing and circulation.

In the early days, there was no continuous detection method to monitor and provide feedback on the rescue effect of cardiopulmonary resuscitation during manual or mechanical chest compressions. Patients could only be compressed based on clinical experience. The requirements for rescuers and rescue machines were too high, and the rescue effect was not ideal. With the development of medical monitoring equipment, intelligent monitoring equipment has been introduced in clinic.

At present, cardiopulmonary resuscitation monitoring equipment mainly includes two categories: cardiopulmonary resuscitation action quality monitoring and circulatory function monitoring of cardiac arrest patients. The control and use of each monitoring device are generally independent, and each monitoring device detects the corresponding parameters. If a monitoring device is missing or fails, the corresponding parameters will not be available. Blood flow parameters are an important parameter that reflects the human body's circulatory function and are of great significance for judging the effectiveness of cardiopulmonary resuscitation. How to ensure flexible, timely and continuous monitoring of the cardiopulmonary resuscitation process, especially to ensure the monitoring of the patient's blood flow parameters, is an important technical problem that technicians in this field have always been committed to solving.

Summary of the invention

In view of this, the embodiments of the present application provide a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device to solve at least one problem existing in the background technology.

In a first aspect, an embodiment of the present application provides a method for monitoring cardiopulmonary resuscitation parameters, which is applied to a cardiopulmonary resuscitation monitoring device, and the method includes:

If a blood flow detection module is connected to the port of the cardiopulmonary resuscitation monitoring device, obtaining blood flow parameters based on the blood flow detection module;

If the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, a pulse signal is obtained based on the pulse detection module and motion parameters are obtained based on the chest compression motion parameter detection module, and blood flow parameters are determined according to the pulse waveform and the motion parameters;

The blood flow parameters are output.

In conjunction with the first aspect of the present application, in an optional implementation manner, determining the blood flow parameter according to the pulse signal and the motion parameter includes:

Determine a first cycle according to the pulse signal, where the first cycle is a cycle of pulse changes;

Determine a second cycle according to the motion parameter, where the second cycle is a cycle of chest compression;

Determine the time difference between the pulse signal and the corresponding moments in the motion parameter according to the first cycle and the second cycle;

The blood flow parameter is determined according to the time difference and a blood vessel length value from the patient's heart to the carotid artery.

In combination with the first aspect of the present application, in an optional embodiment, the value of the vascular length from the patient's heart to the carotid artery is determined based on a pre-stored reference value of the vascular length from the human heart to the carotid artery; or, the value of the vascular length from the patient's heart to the carotid artery is determined based on the patient's height received by an input device and a pre-stored conversion formula.

In conjunction with the first aspect of the present application, in an optional implementation manner, the blood flow detection module is an ultrasonic Doppler blood flow detection module;

The obtaining of blood flow parameters based on the blood flow detection module includes:

Acquire the ultrasound signal of carotid artery blood flow;

Performing spectrum calculation according to the ultrasonic signal;

Calculate the Doppler spectrum envelope according to the spectrum calculation result;

The blood flow parameters are calculated according to the Doppler spectrum envelope.

In conjunction with the first aspect of the present application, in an optional implementation, a port of the cardiopulmonary resuscitation monitoring device is connected to a chest compression motion parameter detection module, and the method includes: acquiring motion parameters based on the chest compression motion parameter detection module;

The method further comprises:

determining a compression depth according to the motion parameters;

The compression depth is output.

In a second aspect, an embodiment of the present application provides a cardiopulmonary resuscitation monitoring device, comprising:

A plurality of ports, the plurality of ports comprising a port for connecting to a blood flow detection module, a port for connecting to a pulse detection module, and a port for connecting to a chest compression motion parameter detection module;

The processing module is configured to execute: if the port of the cardiopulmonary resuscitation monitoring device is connected to a blood flow detection module, then obtain blood flow parameters based on the blood flow detection module; if the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, then obtain a pulse signal based on the pulse detection module and obtain motion parameters based on the chest compression motion parameter detection module, and determine blood flow parameters according to the pulse waveform and the motion parameters;

The output module is configured to output the blood flow parameters.

In combination with the second aspect of the present application, in an optional embodiment, the processing module is specifically configured to determine a first cycle based on the pulse signal, the first cycle being the cycle of pulse changes; determine a second cycle based on the motion parameters, the second cycle being the cycle of chest compression; determine a time difference between corresponding moments in the pulse signal and the motion parameters based on the first cycle and the second cycle; determine the blood flow parameters based on the time difference and the vascular length value from the patient's heart to the carotid artery.

In conjunction with the second aspect of the present application, in an optional implementation, a chest compression motion parameter detection module is connected to the port of the cardiopulmonary resuscitation monitoring device;

The processing module is configured to obtain motion parameters based on the chest compression motion parameter detection module; and is also configured to determine the compression depth according to the motion parameters;

The output module is further configured to output the compression depth.

In conjunction with the second aspect of the present application, in an optional implementation, the cardiopulmonary resuscitation monitoring device is handheld.

In conjunction with the second aspect of the present application, in an optional implementation manner, the method further includes:

The mounting component is used to enable the blood flow detection module to be detachably mounted and fixed on the host of the cardiopulmonary resuscitation monitoring device, so that the blood flow detection module can be pressed on the patient's carotid artery by holding the cardiopulmonary resuscitation monitoring device in a first usage mode, and can be removed from the host of the cardiopulmonary resuscitation monitoring device and applied separately to the patient's carotid artery in a second usage mode.

The embodiments of the present application provide a method for monitoring cardiopulmonary resuscitation parameters and a cardiopulmonary resuscitation monitoring device, wherein the method comprises: if a blood flow detection module is connected to the port of the cardiopulmonary resuscitation monitoring device, blood flow parameters are obtained based on the blood flow detection module; if a pulse detection module and a chest compression motion parameter detection module are connected to the port of the cardiopulmonary resuscitation monitoring device, a pulse signal is obtained based on the pulse detection module and motion parameters are obtained based on the chest compression motion parameter detection module, and blood flow parameters are determined according to the pulse waveform and motion parameters; and blood flow parameters are output; in this way, blood flow parameters can be monitored not only by the blood flow detection module but also by the pulse detection module and the chest compression motion parameter detection module, thereby ensuring smooth monitoring of the patient's blood flow parameters and improving the flexibility, timeliness and continuity of monitoring.

Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

FIG1 is a flow chart of a method for monitoring cardiopulmonary resuscitation parameters provided in an embodiment of the present application;

FIG2 is a structural block diagram of a cardiopulmonary resuscitation monitoring device provided in an embodiment of the present application;

FIG3 is a flowchart of the steps of a method for monitoring cardiopulmonary resuscitation parameters provided in a specific example 1 of the present application;

FIG4 is a flowchart of the steps of a method for monitoring cardiopulmonary resuscitation parameters provided in specific example 2 of the present application;

FIG5 is a waveform diagram of a normal person's pulse wave;

FIG6 a is a comparison diagram of the waveform of the patient's pulse wave and the curve of the pressure signal during cardiopulmonary resuscitation;

FIG6 b is a comparison diagram of the waveform of the patient's pulse wave during cardiopulmonary resuscitation, the curve of the acceleration signal, and the compression depth curve;

FIG7 is a schematic diagram of the structure of a cardiopulmonary resuscitation monitoring device provided in a specific example 3 of the present application in a first usage mode;

FIG8 is a schematic diagram of the structure of a cardiopulmonary resuscitation monitoring device provided in a third specific example of the present application in a second usage mode;

FIG9 is a structural block diagram of a cardiopulmonary resuscitation monitoring device provided in a specific example of the present application.

DETAILED DESCRIPTION

In order to make the technical solutions and beneficial effects of the present invention more clearly understandable, the following is a detailed description by listing specific embodiments. The drawings are not necessarily drawn to scale, and local features may be enlarged or reduced to more clearly show the details of the local features; unless otherwise defined, the technical and scientific terms used herein have the same meanings as those in the technical field to which this application belongs.

Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with general skills in the technical field to which this application belongs. The words such as "one", "a", "the", "these" and the like in this application do not indicate quantitative restrictions, and they can be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. "Multiple" involved in this application refers to two or more. "And/or" describes the association relationship of associated objects, indicating that there can be three relationships, for example, "A and/or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of objects.

In this application, a patient refers to any person who is or may be monitored for CPR parameters. Of course, it is understood that a patient also refers to a person who is receiving CPR (such as chest compressions). A patient may also be referred to as a patient. Medical staff, for example, includes people who use a CPR monitoring device to monitor patients, and therefore, is also one of the users of the CPR monitoring device; however, users may include not only medical staff, but also other people who directly or indirectly use the CPR monitoring device.

The embodiment of the present application provides a method for monitoring cardiopulmonary resuscitation parameters, which is applied to a cardiopulmonary resuscitation monitoring device. FIG1 is a flow chart of the method for monitoring cardiopulmonary resuscitation parameters provided in the embodiment of the present application. As shown in the figure, the method includes:

Step 101: if a blood flow detection module is connected to a port of the cardiopulmonary resuscitation monitoring device, blood flow parameters are obtained based on the blood flow detection module;

Step 102: If the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, a pulse signal is obtained based on the pulse detection module and motion parameters are obtained based on the chest compression motion parameter detection module, and blood flow parameters are determined according to the pulse waveform and the motion parameters;

Step 103: Output blood flow parameters.

It can be understood that in the process of implementing the cardiopulmonary resuscitation parameter monitoring method provided in the embodiment of the present application, the blood flow parameters can be monitored not only by the blood flow detection module, but also by the pulse detection module and the chest compression motion parameter detection module, thereby ensuring the smooth monitoring of the patient's blood flow parameters and improving the flexibility, timeliness and continuity of the monitoring.

Here, the basic structure of the cardiopulmonary resuscitation monitoring device can refer to Figure 2. As shown in the figure, the cardiopulmonary resuscitation monitoring device 200 includes multiple ports, including a port for connecting the blood flow detection module 210 (refer to the first port 241 in the figure), a port for connecting the pulse detection module 220 (refer to the second port 242 in the figure), and a port for connecting the chest compression motion parameter detection module 230 (refer to the third port 243 in the figure). It should be understood that although the figure shows three discrete ports, in actual applications, the number of ports can be more than three, or even less than three; the types of the ports can be the same or different; and the detection modules can be interchangeable or reused for the ports. For example, when the blood flow detection module 210 is not connected to the first port 241, the first port 241 can also be used to connect the pulse detection module 220.

The cardiopulmonary resuscitation monitoring device 200 further includes a processing module 250 , which can be used to execute the above steps 101 and 102 .

In addition, the cardiopulmonary resuscitation monitoring device 200 further includes an output module 260, and the output module 260 is used to execute the above step 103, that is, output blood flow parameters.

Regarding step 101, as a feasible implementation, this step specifically includes: determining whether the port of the cardiopulmonary resuscitation monitoring device is connected to a blood flow detection module, and if the determination result is yes, obtaining blood flow parameters based on the blood flow detection module. As another feasible implementation, this step may also include: determining whether detection data based on the blood flow detection module is received through the port of the cardiopulmonary resuscitation monitoring device, and if the determination result is yes, obtaining blood flow parameters based on the blood flow detection module.

In addition, obtaining blood flow parameters based on the blood flow detection module can specifically be receiving detection data based on the blood flow detection module, and determining blood flow parameters based on the detection data. It can be understood that the blood flow detection module detects a blood flow signal, and obtaining blood flow parameters based on the blood flow signal requires data calculation and processing, and the calculation and processing process can be completed by the processing module or even other circuit modules connected between the blood flow detection module and the processing module.

As an optional implementation, the blood flow detection module is an ultrasonic Doppler blood flow detection module; obtaining blood flow parameters based on the blood flow detection module includes: obtaining an ultrasonic signal of carotid artery blood flow; performing spectrum calculation according to the ultrasonic signal; calculating the Doppler spectrum envelope according to the spectrum calculation result; and calculating blood flow parameters according to the Doppler spectrum envelope. Among them, the blood flow parameters are specifically, for example, blood flow velocity, or "blood flow velocity".

Here, the ultrasonic Doppler blood flow detection module is specifically, for example, an ultrasonic probe. Ultrasonic Doppler technology can detect the blood flow condition in human blood vessels without damage, and then provide a basis for the diagnosis of blood circulation system and vascular diseases, so it has a wide range of applications in medical clinics. The detection of blood flow velocity using ultrasonic Doppler blood flow detection technology is completed by calculating the Doppler frequency shift of red blood cells that play the role of scatterers in the blood. The change curve of blood flow velocity (corresponding to the maximum frequency curve of the Doppler signal) and the related parameters on the Doppler spectrogram will change due to the influence of vascular diseases in the human body. The ultrasonic probe uses the ultrasonic Doppler principle to collect the patient's physiological parameters through ultrasound, such as detecting the patient's blood flow velocity, blood flow direction and other signals. After the ultrasonic signal is acquired, it can be subjected to spectrum operation. For example, the demodulated signal is preprocessed, and then digital filtering is performed, and the filtered signal is fast Fourier transformed to obtain the spectrum of the demodulated signal. In addition, the demodulated signal after filtering is envelope calculated. For example, envelope extraction is performed to obtain the envelope of the demodulated signal after filtering. Then, blood flow velocity calculation is performed based on the spectrum and envelope of the demodulated signal.

As an optional embodiment, a port of the cardiopulmonary resuscitation monitoring device is connected to a chest compression motion parameter detection module. It is understandable that in this embodiment, when the cardiopulmonary resuscitation monitoring device is in use, one of the ports is connected to the chest compression motion parameter detection module; that is, corresponding to the situation in step 101 where the port of the cardiopulmonary resuscitation monitoring device is connected to the blood flow detection module, the cardiopulmonary resuscitation monitoring device also has a port connected to the chest compression motion parameter detection module. Based on this, the method includes: obtaining motion parameters based on the chest compression motion parameter detection module. Regardless of the situation in step 101 or the situation in step 102, the method may also include: determining the compression depth based on the motion parameters; and outputting the compression depth.

Fig. 3 is a flow chart of the steps of the monitoring method of cardiopulmonary resuscitation parameters provided by the specific example 1 of the present application. As shown in the figure, after the start, ultrasonic signal acquisition is performed based on the blood flow detection module, and compression sensor acquisition is performed based on the chest compression motion parameter detection module (here, the chest compression motion parameter detection module is specifically a compression sensor). The step of obtaining blood flow velocity from the ultrasonic signal can refer to the above description, which will not be repeated here. Regarding the compression sensor obtaining the compression signal, after this, the compression waveform can be calculated to obtain a cycle. It can be understood that chest compression is generally repeated many times, so the compression waveform also changes periodically, and the cycle here refers to the compression cycle. Finally, the depth of compression can be calculated based on the compression waveform.

In practical applications, the compression sensor can be a pressure sensor or an acceleration sensor. In the case where the compression sensor is a pressure sensor, the signal acquisition method of the compression sensor is similar to the pulse wave acquisition method, both of which directly acquire the waveform by sampling the electrical signal changes of the sensor. In the case where the compression sensor is an acceleration sensor, the acceleration sensor collects acceleration data and then obtains the compression depth through calculation.

The calculation formula for compression depth is: V = V ₀ + at; wherein, at the beginning of compression, the initial velocity V ₀ = 0; the acceleration a is obtained through the acceleration sensor, and the time t is obtained through the processor timer. The timer interval △t is fixed by the program, that is, the acceleration data is collected every △t to obtain a value of a. △t is generally set to between 0.5ms-10ms. This specific example takes into account the need to calculate the time difference between the cycle of chest compression and the cycle of pulse change in the future. Therefore, in order to improve the calculation accuracy, △t is specifically selected as 1ms, that is, the sampling period of the chest compression motion parameter detection module is 1ms. Through continuous integration, the current velocity can be continuously calculated, that is, V _n = V _n-1 + a _n-1 *△t. Similarly, the current compression depth _Sn = Sn _-1 + Vn-1*△t.

Regarding step 102, as a feasible implementation, this step specifically includes: determining whether the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, and if the determination result is yes, obtaining a pulse signal based on the pulse detection module and obtaining motion parameters based on the chest compression motion parameter detection module, and determining blood flow parameters based on the pulse waveform and motion parameters. As another feasible implementation, this step may also include: determining whether a pulse signal and motion parameters are received through the port of the cardiopulmonary resuscitation monitoring device, and if the determination result is yes, obtaining a pulse signal based on the pulse detection module and obtaining motion parameters based on the chest compression motion parameter detection module.

It is understandable that for patients without cardiac arrest, the measurement of blood flow velocity can be obtained by analyzing and calculating the ECG signal and the pulse wave. Specifically, the time difference between the two waveforms is calculated, and then the blood flow velocity is calculated by dividing the length by the time in combination with the length of the blood vessel between the two measurement points. However, in patients with cardiac arrest, since there is no heartbeat, the ECG signal cannot be measured, and a new method needs to be sought to measure the blood flow velocity. The inventor noted that during cardiopulmonary compression, the blood flow velocity is a favorable indicator of the compression quality. The compression signal can be combined with the pulse wave to calculate the time difference between the two waveforms, thereby calculating the blood flow velocity. For patients without cardiac arrest, the waveform of their pulse wave is basically consistent with that of a normal person, please refer to Figure 5; as time changes, the waveform of the pulse wave first rises, reaches a peak at point A, and then decreases, and some characteristic positions appear at positions B, C, and D. The waveform of the patient's pulse wave during cardiopulmonary resuscitation can refer to the curve (A) in Figure 6a or the curve (A) in Figure 6b, which also rises first and then falls with time, but the waveform is obviously different from the waveform shown in Figure 5.

Specifically, as an optional implementation, blood flow parameters are determined based on the pulse signal and motion parameters, including: determining a first cycle based on the pulse signal, the first cycle being the cycle of pulse changes; determining a second cycle based on the motion parameters, the second cycle being the cycle of chest compressions; determining a time difference between corresponding moments in the pulse signal and the motion parameters based on the first cycle and the second cycle; and determining blood flow parameters based on the time difference and the value of the blood vessel length from the patient's heart to the carotid artery.

Here, the motion parameters that can be involved in the calculation and analysis can be acceleration a, velocity V, or compression depth S; this is because in the calculation and analysis, the cycle of chest compression is needed to determine the time difference between the cycle and the corresponding moment in the cycle determined by the pulse signal, and the above-mentioned motion parameters all change periodically, and the change cycle is consistent.

Determining the time difference between corresponding moments in the pulse signal and the motion parameter according to the first cycle and the second cycle may include: determining the starting point of one cycle in the first cycle and the starting point of the corresponding cycle in the second cycle according to the first cycle and the second cycle, and determining the difference between the two starting points as the time difference between corresponding moments in the pulse signal and the motion parameter. Optionally, the time difference may also be calculated according to the end point of the cycle or other easily identifiable points.

Determining the blood flow parameters according to the time difference and the blood vessel length from the patient's heart to the carotid artery may specifically include: calculating the ratio of the blood vessel length L from the patient's heart to the carotid artery to the time difference ΔT, L/ΔT, to obtain the blood flow velocity. Here, determining the blood flow parameters specifically refers to determining the blood flow velocity.

As an optional embodiment, the value of the vascular length from the patient's heart to the carotid artery is determined based on a pre-stored reference value of the vascular length from the human heart to the carotid artery; or, the value of the vascular length from the patient's heart to the carotid artery is determined based on the patient's height received by an input device and a pre-stored conversion formula.

It is understandable that a reference value of the blood vessel length from the human heart to the carotid artery may be pre-stored in the cardiopulmonary resuscitation monitoring device. The reference value may be the average value of the blood vessel length from the human heart to the carotid artery; more precisely, the average value of the blood vessel length from the heart to the carotid artery of the population in the main sales countries or main sales regions of the cardiopulmonary resuscitation monitoring device may be selected. The blood flow parameters of the patient may be determined more quickly and timely through the reference value.

Alternatively, a conversion formula may be pre-stored in the cardiopulmonary resuscitation monitoring device, and the conversion formula is a conversion formula between height and the length of the blood vessel from the human heart to the carotid artery. Specifically, for example, a reference value of the ratio between height and the length of the blood vessel from the human heart to the carotid artery is stored. When the user inputs the height of the patient using an input device, the length of the blood vessel from the patient's heart to the carotid artery can be calculated based on the actual height of the patient and the reference value of the aforementioned ratio. It is easy to understand that the reference value of the aforementioned ratio can also be determined based on the average value of humans, or based on the average value of the population in the main sales country or main sales area. In this way, individual differences of patients can be better taken into account, and the patient's blood flow parameters can be determined more accurately.

Next, please refer to the step flow chart of specific example 2 shown in Figure 4 to further understand the method provided in the present application. As shown in the figure, after the start, pulse sensor signal acquisition is performed based on the pulse detection module, and compression sensor acquisition is performed based on the compression motion parameter detection module. Here, please refer to the previous description for the specific situation of the compression motion parameter detection module and its workflow. For pulse sensor signal acquisition, after this, waveform calculation can be performed, one cycle is obtained, and the starting point calculation is performed. For compression sensor acquisition, the starting point calculation is also performed after one cycle is obtained. Then, based on the above two, the time difference calculation of the same cycle is performed, and the blood flow velocity is calculated based on the time difference. Finally, the parameters are displayed.

In practical applications, the pressure sensor can be selected as a pressure sensor. At this time, please refer to Figure 6a, where curve (A) is the waveform of the patient's pulse wave during cardiopulmonary resuscitation, and curve (B) is the curve of the patient's pressure signal during cardiopulmonary resuscitation. The waveform of the pulse wave and the curve of the pressure signal are both periodic. By determining the starting point of each cycle, the time difference △T is obtained by subtracting the time at the starting point of the same cycle (each cycle obtains its own time difference, as shown in the figure △T1, △T2, △T3, △T4...). The length of the blood vessel from the heart to the carotid artery is L. As mentioned above, L can be set directly by the machine, or it can be obtained by setting the patient's height. In this way, the blood flow velocity is equal to L/△T.

In addition, in practical applications, the compression sensor can also be selected as an acceleration sensor. At this time, please refer to Figure 6b, where curve (A) is the waveform of the patient's pulse wave during cardiopulmonary resuscitation, curve (B) is the compression depth curve of the patient during cardiopulmonary resuscitation, and curve (C) is the curve of the acceleration signal of the patient during cardiopulmonary resuscitation. Both the compression depth curve and the acceleration signal curve are periodic, and the change period is the same. Thereafter, the steps of obtaining the time difference △T by determining the starting point of each cycle and calculating the blood flow velocity are the same as when the pressure sensor is selected, please refer to the above description.

Regarding step 103, if the port of the cardiopulmonary resuscitation monitoring device is connected to a blood flow detection module but not to a pulse detection module, the preceding step only executes step 101 but not to step 102, so that when step 103 is executed, the blood flow parameters obtained based on step 101 are output. On the contrary, if the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module but not to a blood flow detection module, the preceding step only executes step 102 but not to step 101, so that when step 103 is executed, the blood flow parameters determined based on step 102 are output.

As a possible situation, the port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, a pulse detection module and a chest compression motion parameter detection module, at which time, both step 101 and step 102 are executed. For the convenience of description, the blood flow parameter obtained based on step 101 is referred to as the "first blood flow parameter", and the blood flow parameter determined based on step 102 is referred to as the "second blood flow parameter". The method may also include: respectively determining whether the first blood flow parameter and the second blood flow parameter fall within a preset blood flow parameter reference range, if the first blood flow parameter does not fall within and the second blood flow parameter falls within, then outputting the second blood flow parameter in step 103; if the second blood flow parameter does not fall within and the first blood flow parameter falls within, then outputting the first blood flow parameter in step 103; if the first blood flow parameter and the second blood flow parameter both fall within or do not fall within the preset blood flow parameter reference range, then the blood flow parameter output in step 103 is equal to: the first blood flow parameter * X + the second blood flow parameter * (1-X); wherein X is greater than or equal to 64%. Here, 64% can be understood as the proportion of the credibility of the method of obtaining blood flow parameters based on the blood flow detection module compared with the method of determining blood flow parameters based on the pulse detection module and the chest compression motion parameter detection module. In a further optional implementation, 80% ≥ X ≥ 64%. Through the above output strategy, the accuracy of the output blood flow parameters is greatly improved, thereby providing medical staff with more accurate monitoring data and ensuring the smooth progress of rescue.

The embodiment of the present application also provides a cardiopulmonary resuscitation monitoring device, please refer to Figure 2, the cardiopulmonary resuscitation monitoring device 200 includes: multiple ports, the multiple ports include a port for connecting a blood flow detection module 210 (refer to the first port 241 in the figure), a port for connecting a pulse detection module 220 (refer to the second port 242 in the figure), and a port for connecting a chest compression motion parameter detection module 230 (refer to the third port 243 in the figure); a processing module 250, which is configured to execute: if the port of the cardiopulmonary resuscitation monitoring device 200 is connected to the blood flow detection module 210, then blood flow parameters are obtained based on the blood flow detection module 210; if the port of the cardiopulmonary resuscitation monitoring device 200 is connected to the pulse detection module 220 and the chest compression motion parameter detection module 230, then a pulse signal is obtained based on the pulse detection module 220 and motion parameters are obtained based on the chest compression motion parameter detection module 230, and blood flow parameters are determined according to the pulse waveform and motion parameters; an output module 260, which is configured to output blood flow parameters.

It should be understood that the cardiopulmonary resuscitation monitoring device provided in this embodiment and the cardiopulmonary resuscitation parameter monitoring method provided in the above embodiment belong to the same concept, and the detailed technical features can refer to the above-mentioned cardiopulmonary resuscitation parameter monitoring method embodiment, which will not be repeated here.

As an optional embodiment, the processing module 250 is specifically configured to determine a first cycle based on the pulse signal, the first cycle being the cycle of pulse changes; determine a second cycle based on the motion parameters, the second cycle being the cycle of chest compression; determine a time difference between corresponding moments in the pulse signal and the motion parameters based on the first cycle and the second cycle; and determine a blood flow parameter based on the time difference and the vascular length value from the patient's heart to the carotid artery.

As an optional embodiment, the value of the vascular length from the patient's heart to the carotid artery is determined based on a pre-stored reference value of the vascular length from the human heart to the carotid artery; or, the value of the vascular length from the patient's heart to the carotid artery is determined based on the patient's height received by an input device and a pre-stored conversion formula.

As an optional embodiment, the blood flow detection module 210 is an ultrasonic Doppler blood flow detection module; the processing module 250 is configured to obtain blood flow parameters based on the blood flow detection module, specifically including being configured to: obtain an ultrasonic signal of carotid artery blood flow; perform spectrum calculation based on the ultrasonic signal; calculate the Doppler spectrum envelope based on the spectrum calculation result; and calculate the blood flow parameters based on the Doppler spectrum envelope.

As an optional embodiment, the port of the cardiopulmonary resuscitation monitoring device is connected to a chest compression motion parameter detection module; the processing module 250 is configured to obtain motion parameters based on the chest compression motion parameter detection module; and is also configured to determine the compression depth based on the motion parameters; the output module 260 is also configured to output the compression depth.

As an optional implementation, the cardiopulmonary resuscitation monitoring device 200 is handheld.

As an optional embodiment, the cardiopulmonary resuscitation monitoring device 200 also includes: an installation component for detachably installing and fixing the blood flow detection module 210 on the host of the cardiopulmonary resuscitation monitoring device 200, so that the blood flow detection module 210 can be pressed on the patient's carotid artery by holding the cardiopulmonary resuscitation monitoring device 200 in a first usage mode, and can be removed from the host of the cardiopulmonary resuscitation monitoring device 200 and applied separately to the patient's carotid artery in a second usage mode.

Please refer to Figures 7 and 8 below. As shown in the figure, the cardiopulmonary resuscitation monitoring device includes a host 710, on which a display screen 720, a microphone 730 and a speaker 740 are arranged; in addition, an ultrasonic probe, a pulse sensor and a depth sensor are all connected to the host 710. It can be understood that the ultrasonic probe corresponds to the aforementioned blood flow detection module, the pulse sensor corresponds to the aforementioned pulse detection module, and the depth sensor corresponds to the aforementioned chest compression motion parameter detection module. The cardiopulmonary resuscitation monitoring device is handheld, so it is easy to use quickly during the cardiopulmonary resuscitation process and is convenient for medical staff to operate.

The CPR monitoring device can measure carotid blood flow velocity using an ultrasonic Doppler sensor alone or with an optional depth compression detection and neck pulse sensor.

The ultrasound probe has two usage modes. One mode is to directly clip it onto the host 710, and use the ultrasound probe of the handheld operating device to press on the carotid artery for measurement (please refer to FIG7 ). The other mode is to unplug the ultrasound probe from the device, and then connect the ultrasound probe to the host 710 via a hidden connection line, and use a patch material to stick the ultrasound probe alone on the carotid artery for measurement (please refer to FIG8 ).

The pulse sensor is applied to the patient's carotid artery during use. The pulse sensor can be a photoelectric reflection pulse sensor (specifically, an infrared photoelectric reflection pulse sensor) or a pressure pulse sensor.

The depth sensor can be an acceleration sensor or a pressure sensor. If an acceleration sensor is used, the compression depth is calculated by obtaining the acceleration value; if a pressure sensor is used, the compression waveform and chest compression condition are obtained by obtaining the pressure.

Fig. 9 is a structural block diagram of a cardiopulmonary resuscitation monitoring device provided by a specific example of the present application. As shown in the figure, the device includes a processor and various input and output components connected to the processor.

Specifically, the processor in the figure corresponds to the aforementioned processing module 250, which can be a low-power chip such as ARM/FPGA/DSP.

As a signal input circuit, the blood flow signal is detected by an ultrasonic probe, and then transmitted to the ultrasonic signal conditioning module for conditioning, and then input to the processor after signal conversion through the ADC chip. Among them, the ultrasonic probe can be a CW probe or a PW probe; its frequency is selected to be 2MHz-8Mhz, preferably 4Mhz. Ultrasonic signal conditioning includes an ultrasonic generation drive signal and an ultrasonic echo detection circuit. The ADC chip, that is, an analog-to-digital conversion chip, is used to collect ultrasonic signals. As another signal input circuit, the motion parameters are collected by the compression depth measurement sensor, and then transmitted to the depth measurement processing module to detect the frequency and depth of cardiopulmonary resuscitation compression, and finally transmitted to the processor. Among them, the compression depth sensor is, for example, a 3-axis acceleration sensor or a pressure sensor. As another signal input circuit, the pulse sensor collects the pulse signal, and then transmits it to the pulse sensor signal processing module for signal processing, and finally transmits it to the processor.

In addition, the device may also include: a geographic positioning module, such as Beidou/GPS positioning, which can locate the specific location of the device, so that public emergency equipment can be provided on the management platform in an information-based and intelligent manner; a wireless data module, such as Bluetooth, wifi or mobile network communication (4G/5G), to realize the transmission of data to the management platform; a sound processing module, used for recording and playing sounds; a speaker connected to the sound processing module, used to play blood flow sounds or compression rhythm sounds; a microphone connected to the sound processing module, used to record the surrounding environment to ensure that the rescue process is recorded; a display module, such as a small-size display module such as OLED, LCD, and ink screen; a battery, which can be a disposable battery or a rechargeable lithium battery; a power management module, used to convert the battery voltage into the working voltage required by the device.

In this specific example, the device may also include an input device; wherein the input device includes but is not limited to at least one of the following: a keyboard, a button, a voice-controlled input device (such as the aforementioned pickup), and a touch screen. It is understandable that other devices capable of realizing signal input are included in the meaning of this application. As mentioned above, the device may also include output devices such as speakers and display screens. Of course, other devices capable of realizing signal output are also included in the meaning of this application. In this way, the device can realize information interaction with the user.

The port can be a commonly used communication hardware interface such as USB/UART/network port/Bluetooth/WIFI/CAN, and this application does not make any specific restrictions on it.

In order to store the received detection results, as well as the intermediate quantities and algorithm programs in the operation process, the device may also include a storage module connected to the processor, such as a memory, a storage, etc.

In this specific example, the cardiopulmonary resuscitation monitoring device can indicate the presence of a pulse wave and the intensity of the fluctuation through sound, display screen, etc., to provide rapid feedback for the effect of cardiopulmonary resuscitation first aid. In this way, it can replace the human hand to touch the pulse, display the blood flow intensity state during compression, and identify whether there is an autonomous heartbeat after the compression interval and defibrillation to show that the resuscitation has been successful. During the cardiopulmonary resuscitation process, the device can quickly detect the blood flow velocity in the neck through ultrasonic Doppler, and can also detect the blood flow velocity through a depth sensor and a neck pulse sensor; through the principle of ultrasonic Doppler, the blood flow velocity of the blood vessels is measured, the cardiopulmonary resuscitation compression depth is measured, and the blood flow velocity, compression depth, and compression frequency are measured and displayed in combination with the neck pulse sensor. The device can be a handheld monitoring device and can have a display function, which simplifies the design and reduces the size of the device, which is conducive to being placed in public places together with AED/cardiopulmonary resuscitation machines and other equipment, and can be used simultaneously with other first aid equipment when necessary. The ultrasonic probe in the device can be used in an integrated manner or the probe can be removed for use; it can measure cardiopulmonary resuscitation compression parameters at the same time; it has functions such as positioning and wireless transmission; it has recording and sound playback functions, and during the first aid process, it can prompt the blood flow sound and record the sound of the first aid process.

It should be understood that the above embodiments are exemplary and are not intended to include all possible implementations included in the claims. Various modifications and changes may be made on the basis of the above embodiments without departing from the scope of the present disclosure. Similarly, the various technical features of the above embodiments may be arbitrarily combined to form other embodiments of the present invention that may not be explicitly described. Therefore, the above embodiments only express several implementations of the present invention and do not limit the scope of protection of the patent of the present invention.

Claims (8)

1. A method for monitoring cardiopulmonary resuscitation parameters, applied to a cardiopulmonary resuscitation monitoring device, characterized in that the method comprises: If a blood flow detection module is connected to the port of the cardiopulmonary resuscitation monitoring device, obtaining blood flow parameters based on the blood flow detection module; If the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, a pulse signal is obtained based on the pulse detection module and motion parameters are obtained based on the chest compression motion parameter detection module, and blood flow parameters are determined according to the pulse signal and the motion parameters; outputting the blood flow parameter; Wherein, determining the blood flow parameter according to the pulse signal and the motion parameter comprises: Determine a first cycle according to the pulse signal, where the first cycle is a cycle of pulse changes; Determine a second cycle according to the motion parameter, where the second cycle is a cycle of chest compression; Determine the time difference between the pulse signal and the corresponding moments in the motion parameter according to the first cycle and the second cycle; The blood flow parameter is determined according to the time difference and a blood vessel length value from the patient's heart to the carotid artery. 2. The method for monitoring cardiopulmonary resuscitation parameters according to claim 1 is characterized in that the value of the blood vessel length from the patient's heart to the carotid artery is determined based on a pre-stored reference value of the blood vessel length from the human heart to the carotid artery; or, the value of the blood vessel length from the patient's heart to the carotid artery is determined based on the patient's height received by an input device and a pre-stored conversion formula. 3. The cardiopulmonary resuscitation parameter monitoring method according to claim 1, characterized in that the blood flow detection module is an ultrasonic Doppler blood flow detection module; The obtaining of blood flow parameters based on the blood flow detection module includes: Acquire the ultrasound signal of carotid artery blood flow; Performing spectrum calculation according to the ultrasonic signal; Calculate the Doppler spectrum envelope according to the spectrum calculation result; The blood flow parameters are calculated according to the Doppler spectrum envelope. 4. The method for monitoring cardiopulmonary resuscitation parameters according to claim 1, characterized in that a port of the cardiopulmonary resuscitation monitoring device is connected to a chest compression motion parameter detection module, and the method comprises: acquiring motion parameters based on the chest compression motion parameter detection module; The method further comprises: determining a compression depth according to the motion parameters; The compression depth is output. 5. A cardiopulmonary resuscitation monitoring device, comprising: A plurality of ports, the plurality of ports comprising a port for connecting to a blood flow detection module, a port for connecting to a pulse detection module, and a port for connecting to a chest compression motion parameter detection module; The processing module is configured to execute: if the port of the cardiopulmonary resuscitation monitoring device is connected to a blood flow detection module, then obtain blood flow parameters based on the blood flow detection module; if the port of the cardiopulmonary resuscitation monitoring device is connected to a pulse detection module and a chest compression motion parameter detection module, then obtain a pulse signal based on the pulse detection module and obtain motion parameters based on the chest compression motion parameter detection module, and determine the blood flow parameters according to the pulse signal and the motion parameters; an output module, configured to output the blood flow parameter; Among them, the processing module is specifically configured to determine a first cycle according to the pulse signal, the first cycle is the cycle of pulse change; determine a second cycle according to the motion parameter, the second cycle is the cycle of chest compression; determine the time difference between corresponding moments in the pulse signal and the motion parameter according to the first cycle and the second cycle; determine the blood flow parameter according to the time difference and the blood vessel length value from the patient's heart to the carotid artery. 6. The cardiopulmonary resuscitation monitoring device according to claim 5, characterized in that a chest compression motion parameter detection module is connected to the port of the cardiopulmonary resuscitation monitoring device; The processing module is configured to obtain motion parameters based on the chest compression motion parameter detection module; and is also configured to determine the compression depth according to the motion parameters; The output module is further configured to output the compression depth. 7. The cardiopulmonary resuscitation monitoring device according to claim 5, characterized in that the cardiopulmonary resuscitation monitoring device is handheld. 8. The cardiopulmonary resuscitation monitoring device according to claim 7, further comprising: The mounting component is used to enable the blood flow detection module to be detachably mounted and fixed on the host of the cardiopulmonary resuscitation monitoring device, so that the blood flow detection module can be pressed on the patient's carotid artery by holding the cardiopulmonary resuscitation monitoring device in a first usage mode, and can be removed from the host of the cardiopulmonary resuscitation monitoring device and applied separately to the patient's carotid artery in a second usage mode.