WO2018120643A1 - Procédé et dispositif de rétroaction de résultat de surveillance physiologique - Google Patents
Procédé et dispositif de rétroaction de résultat de surveillance physiologique Download PDFInfo
- Publication number
- WO2018120643A1 WO2018120643A1 PCT/CN2017/086508 CN2017086508W WO2018120643A1 WO 2018120643 A1 WO2018120643 A1 WO 2018120643A1 CN 2017086508 W CN2017086508 W CN 2017086508W WO 2018120643 A1 WO2018120643 A1 WO 2018120643A1
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- physiological
- sensor
- user
- sensor group
- monitoring
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient; User input means
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient; User input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient; User input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Definitions
- the invention belongs to the technical field of information processing, and in particular relates to a feedback method and device for physiological monitoring results.
- the prior art records and analyzes a plurality of sleep physiological indexes of a user during a night's sleep through polysomnography (PSG) to obtain monitoring results, thereby causing sleep disorders, sleep disordered breathing, and Diagnosis of sleep apnea, hypopnea syndrome, etc. provides predictable monitoring data.
- PSG polysomnography
- the physiological monitoring equipment has the following technical defects in the research and development process: after the monitoring results are obtained, the physiological monitoring equipment lacks the interaction through feedback, screen display, handwriting or dictation.
- the embodiments of the present invention provide a feedback method and device for physiological monitoring results, so as to solve the problem that the current physiological monitoring device lacks interaction when the feedback is feedback.
- an embodiment of the present invention provides a feedback method for a physiological monitoring result, where the method includes:
- the physiological signal collecting device is used to collect a physiological signal matching the physiological monitoring type input by the user;
- the collected physiological signal is introduced into a physiological data analysis model corresponding to the physiological monitoring type to obtain a monitoring result;
- Controlling the fabric electrode orientation in the physiological signal acquisition device based on the feedback signal output mode The user outputs a feedback signal.
- an embodiment of the present invention provides a feedback device for physiological monitoring results, where the device includes:
- the collecting unit is configured to collect a physiological signal matching the physiological monitoring type input by the user by using the physiological signal collecting device;
- An analyzing unit configured to introduce the collected physiological signal into a physiological data analysis model corresponding to the physiological monitoring type, to obtain a monitoring result
- An acquiring unit configured to acquire a feedback signal output mode that matches the monitoring result
- a feedback unit configured to control a fabric electrode in the physiological signal acquisition device to output a feedback signal to the user based on the feedback signal output mode.
- various physiological signal sensors are integrated in the wearable physiological signal collection device, and some of the sensors can be activated according to the actual physiological monitoring requirements of the user, and the physiological signals are collected, and the call and the demand are based on the requirements.
- the matched physiological data analysis model is used for further data analysis to obtain corresponding monitoring results, and the feedback signal output is performed based on the monitoring result, which can actively feedback the monitoring result compared with the prior art, and increases The interactive nature of feedback.
- FIG. 1 is a flowchart of implementing a feedback method of physiological monitoring results according to an embodiment of the present invention
- FIG. 2 is a flowchart showing an implementation of a feedback method for physiological monitoring results according to another embodiment of the present invention.
- FIG. 3 is a flowchart of implementing a feedback method of a physiological monitoring result according to another embodiment of the present invention.
- FIG. 4 is a structural block diagram of a feedback device for physiological monitoring results according to another embodiment of the present invention.
- FIG. 1 is a flowchart showing an implementation process of a feedback method for physiological monitoring results provided by an embodiment of the present invention, which is described in detail as follows:
- the physiological signal matching device is used to collect a physiological signal that matches the physiological monitoring type input by the user.
- the physiological monitoring refers to collecting one or more types of physiological signals of a user in a certain period of time, and performing data analysis on the collected physiological signals to obtain a corresponding physiological condition. Monitoring the process of monitoring results during the time period, wherein different physiological monitoring needs correspond to different types of physiological monitoring.
- physiological monitoring types may include the following categories: sleep monitoring, fatigue monitoring, disease warning monitoring, and emotions. Monitoring, and so on.
- the user can specify the physiological monitoring type by ticking the physiological monitoring type option, inputting the instruction, etc.
- S101 the physiological monitoring type input by the user is detected, and the physiological monitoring type is determined by the user according to the physiological monitoring requirement.
- the implementation manner of S101 may be:
- a first sensor group corresponding to the physiological monitoring type is activated in a sensor located in a brain region of the user, and a second sensor group corresponding to the physiological monitoring type is activated in a sensor located in a chest region of the user, where
- the first sensor group includes a fabric electroencephalic electrode, and the first sensor group includes a fabric electrocardiographic electrode.
- a number of sensors are activated in the brain region and the chest region of the user for physiological signal acquisition according to the corresponding physiological monitoring requirements.
- the sensors to be called are different for different physiological monitoring types, and are used to collect physiological signals in the embodiment of the present invention.
- the number includes at least an electroencephalogram electrode located in a brain region of the user and an electrocardiographic electrode located in a chest region of the user, that is, at least based on a combination of an electroencephalogram signal and an electrocardiographic signal to perform physiological monitoring.
- the electroencephalic electrode and the electrocardiographic electrode adopt the fabric electrode to realize the physiological signal acquisition, so as to realize the wearability of the physiological signal collecting device through the flexible material of the fabric electrode.
- several sensors located in the brain area of the user can be integrated by the product form of the brain electric cap, and several sensors located in the chest area of the user can be integrated by the product form of the electrocardiograph.
- the first sensor group is activated in a sensor located in a brain region of the user, and the first sensor group further includes at least one of the following types of sensors: a temperature sensor, a blood oxygen sensor, a body position sensor, a nasal air flow sensor, and an acoustic sensor. ;
- the second sensor group is activated in a sensor located in a chest area of the user, and the second sensor group further includes at least one of the following types of sensors: a leg motion sensor.
- the brain electrical electrode can be used to collect the user's EEG signal, myoelectric signal and eye movement signal
- the temperature sensor is used to collect the user's body temperature
- the blood oxygen sensor is used to collect the user's blood oxygen saturation
- the body position sensor is used for detection.
- the user's position, the nose and mouth airflow sensor is used to detect the user's breathing
- the sound sensor is used to detect the user's snoring
- the ECG electrode is used to collect the user's ECG signal
- the leg motion sensor is used to detect the user. Leg movements.
- these signals are introduced into a physiological data analysis model for performing sleep analysis, and the data is analyzed based on an approximate entropy algorithm in the field of sleep monitoring in the calculation process of the model, thereby obtaining corresponding Sleep monitoring results.
- a plurality of physiological signals are acquired by the first sensor group and the second sensor group.
- the collected physiological signal is introduced into the physiological data analysis model corresponding to the physiological monitoring type, and the monitoring result is obtained.
- the collected physiological signals when the collected physiological signals are processed by data, different physiological monitoring types respectively correspond to different physiological data analysis models. Therefore, after the physiological monitoring type is determined, the corresponding physiological data analysis model is also It can be determined that the physiological data analysis model is called through the corresponding function interface, and the collected multi-path physiological signals are introduced into the physiological data analysis model, thereby obtaining the monitoring result corresponding to the physiological monitoring type.
- the collected multi-path physiological signals before the collected multi-path physiological signals are introduced into the physiological data analysis model for data processing, the collected multi-path physiological signals may be subjected to pre-processing such as denoising and amplification to make physiological signals Signal characteristics can be better reflected in the data processing process to obtain more accurate monitoring results.
- a plurality of feedback signal output modes are preset, and each of the feedback signal output modes defines electrodes for performing feedback signal output in the physiological signal acquisition device, and the electrical stimulation frequencies of the electrodes are defined. Therefore, after the monitoring result is obtained, the monitoring result is matched with the corresponding feedback signal output mode.
- S103 can also be implemented by the method shown in FIG. 3:
- the warning chip corresponding to various physiological monitoring types is preset in the storage chip of the physiological signal collecting device, and the physiological signal collecting device performs the physiological signal collected. Data analysis, the monitoring result is obtained, and the monitoring result is compared with the corresponding early warning level of the physiological monitoring type to determine whether the monitoring result reaches the early warning level, and if the warning level is reached, the monitoring result is matched.
- the feedback signal output mode is used for the feedback signal output, which further clarifies the conditions for the feedback signal output to ensure the necessity of the feedback signal output.
- related early warning information is generated, for example, a description of the warning level, an improvement suggestion, and the like, and the warning information is sent to the mobile terminal, so that the user can timely and through the mobile terminal. Learn about their current physiological monitoring status and the possible dangerous consequences.
- the fabric electrode in the physiological signal acquisition device is controlled to output a feedback signal to the user.
- the feedback signal can be output to the user based on the feedback signal output mode. For example, an induced wave can be generated and compared with a normal waveform in the memory, and then the induced wave can be synthesized according to the waveform lookup table, and then digitally converted by the DA module, the amplification filter circuit is stepped down, and finally passed through the EEG electrode located in the brain region of the user. The induced wave is output on the forehead.
- various physiological signal sensors are integrated in the wearable physiological signal collection device, and some of the sensors can be activated according to the actual physiological monitoring requirements of the user, and the physiological signals are collected, and the call and the demand are based on the requirements.
- the matched physiological data analysis model is used for further data analysis to obtain corresponding monitoring results, and the feedback signal output is performed based on the monitoring result, which can actively feedback the monitoring result compared with the prior art, and increases The interactive nature of feedback.
- FIG. 4 is a structural block diagram of the feedback device of the physiological monitoring result provided by the embodiment of the present invention. For the convenience of description, only the embodiment is shown. part.
- the apparatus includes:
- the collecting unit 41 collects a physiological signal matching the physiological monitoring type input by the user by using the physiological signal collecting device;
- the analyzing unit 42 is configured to introduce the collected physiological signal into a physiological data analysis model corresponding to the physiological monitoring type to obtain a monitoring result;
- the obtaining unit 43 is configured to obtain a feedback signal output mode that matches the monitoring result
- the feedback unit 44 controls the fabric electrode in the physiological signal acquisition device to output a feedback signal to the user based on the feedback signal output mode.
- the collecting unit 41 includes:
- Detecting a subunit detecting the type of physiological monitoring input by the user
- Activating a subunit activating a first sensor group corresponding to the physiological monitoring type in a sensor located in a brain region of the user, and activating a second sensor group corresponding to the physiological monitoring type in a sensor located in a chest region of the user, wherein
- the first sensor group includes a fabric electroencephalic electrode, and the first sensor group includes a fabric electrocardiographic electrode;
- the obtaining unit 43 includes:
- Determining the subunit determining whether the monitoring result has reached an early warning level
- Obtaining a subunit if the monitoring result reaches an early warning level, obtaining a feedback signal output mode that matches the monitoring result.
- the feedback unit 44 includes:
- the control subunit controls the output of each of the positioned fabric electrode feedback signals according to the obtained electrical stimulation frequency.
- the physiological monitoring type includes sleep monitoring,
- the activation subunit is specifically used to:
- the first sensor group is activated in a sensor located in a brain region of the user, and the first sensor group further includes at least one of the following types of sensors: a temperature sensor, a blood oxygen sensor, a body position sensor, Nasal air flow sensor and sound sensor;
- the second sensor group is activated in a sensor located in a chest area of the user, and the second sensor group further includes at least one of the following types of sensors: a leg motion sensor.
- each functional unit in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the integrated unit may be implemented in the form of hardware. It can also be implemented in the form of a software functional unit.
- the specific names of the respective functional units are only for the purpose of facilitating mutual differentiation, and are not intended to limit the scope of protection of the present application.
- the disclosed apparatus and apparatus may be implemented in other manners.
- the device embodiments described above are merely illustrative.
- the division of modules or units is only a logical function division.
- there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
- the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
- the units described as separate parts may or may not be physically separated, and the parts displayed as units may or may not be physical units, ie may be located in one place, or may be Distributed to multiple network elements. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- An integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, can be stored in a computer readable storage medium.
- the medium includes a number of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of various embodiments of the embodiments of the present invention.
- the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory, a random access memory, a magnetic disk, or an optical disk.
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Abstract
La présente invention concerne un procédé et un dispositif de rétroaction de résultat de surveillance physiologique. Le procédé comprend les étapes consistant à : utiliser un dispositif de collecte de signal physiologique pour collecter un signal physiologique correspondant à une entrée de type de surveillance physiologique par un utilisateur (S101); importer le signal physiologique collecté dans un modèle d'analyse de données physiologiques correspondant au type de surveillance physiologique pour obtenir un résultat de surveillance (S102); acquérir un mode de sortie de signal de rétroaction correspondant au résultat de surveillance (S103); et commander, sur la base du mode de sortie de signal de rétroaction, une électrode de tissu dans le dispositif de collecte de signal physiologique pour émettre un signal de rétroaction à l'utilisateur (S104). Le résultat de surveillance peut être fourni activement en rétraction, et ainsi l'interactivité du mode de rétroaction est améliorée.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611269835.2 | 2016-12-30 | ||
| CN201611269835.2A CN106667441A (zh) | 2016-12-30 | 2016-12-30 | 生理监测结果的反馈方法及装置 |
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| Publication Number | Publication Date |
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| WO2018120643A1 true WO2018120643A1 (fr) | 2018-07-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| PCT/CN2017/086508 Ceased WO2018120643A1 (fr) | 2016-12-30 | 2017-05-29 | Procédé et dispositif de rétroaction de résultat de surveillance physiologique |
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| CN (1) | CN106667441A (fr) |
| WO (1) | WO2018120643A1 (fr) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112057075A (zh) * | 2020-08-17 | 2020-12-11 | 数智医疗(深圳)有限公司 | 监护系统及监护方法 |
| CN116755003A (zh) * | 2023-06-09 | 2023-09-15 | 西咸新区赛瑞博医疗科技有限公司 | 一次性脑电测量探头的测试评估装置和方法 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106667441A (zh) * | 2016-12-30 | 2017-05-17 | 包磊 | 生理监测结果的反馈方法及装置 |
| CN106725456A (zh) * | 2016-12-30 | 2017-05-31 | 包磊 | 生理数据的监测方法及装置 |
| CN108229283B (zh) * | 2017-05-25 | 2020-09-22 | 深圳市前海未来无限投资管理有限公司 | 肌电信号采集方法及装置 |
| CN108209912B (zh) * | 2017-05-25 | 2020-06-05 | 深圳市前海未来无限投资管理有限公司 | 一种肌电信号采集方法及装置 |
| CN110236524B (zh) * | 2019-06-17 | 2021-12-28 | 深圳市善行医疗科技有限公司 | 一种女性生理周期的监测方法、装置及终端 |
| CN110584601B (zh) * | 2019-08-26 | 2022-05-17 | 首都医科大学 | 一种老人认知功能监测和评估系统 |
| CN114334158B (zh) * | 2022-03-07 | 2022-06-21 | 广州帝隆科技股份有限公司 | 一种基于物联网的监护管理方法及系统 |
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| CN116755003A (zh) * | 2023-06-09 | 2023-09-15 | 西咸新区赛瑞博医疗科技有限公司 | 一次性脑电测量探头的测试评估装置和方法 |
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| CN106667441A (zh) | 2017-05-17 |
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