WO2018120635A1 - Procédé et dispositif de surveillance de données physiologiques - Google Patents

Procédé et dispositif de surveillance de données physiologiques Download PDF

Info

Publication number
WO2018120635A1
WO2018120635A1 PCT/CN2017/086497 CN2017086497W WO2018120635A1 WO 2018120635 A1 WO2018120635 A1 WO 2018120635A1 CN 2017086497 W CN2017086497 W CN 2017086497W WO 2018120635 A1 WO2018120635 A1 WO 2018120635A1
Authority
WO
WIPO (PCT)
Prior art keywords
physiological
monitoring
sensor
sensor group
user
Prior art date
Application number
PCT/CN2017/086497
Other languages
English (en)
Chinese (zh)
Inventor
包磊
Original Assignee
深圳市善行医疗科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市善行医疗科技有限公司 filed Critical 深圳市善行医疗科技有限公司
Publication of WO2018120635A1 publication Critical patent/WO2018120635A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • 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

Definitions

  • the invention belongs to the technical field of monitoring, and in particular relates to a method and a device for monitoring physiological data.
  • 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: the physiological monitoring equipment is professional medical equipment, which is bulky and requires high operation, and different physiological monitoring types need to be realized by different medical equipment.
  • the monitoring process is complicated and there is a certain difficulty in monitoring.
  • the embodiments of the present invention provide a method and a device for monitoring physiological data, so as to solve the complicated problem of the current monitoring process for monitoring physiological data.
  • an embodiment of the present invention provides a method for monitoring physiological data, where the method includes:
  • 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, wherein the first sensor group a sensor group includes a fabric electroencephalic electrode, and the first sensor group includes a fabric electrocardiographic electrode;
  • the multi-path physiological signal is introduced into the physiological data analysis model corresponding to the physiological monitoring type, and the monitoring result is obtained.
  • an embodiment of the present invention provides a physiological data monitoring apparatus, where the apparatus includes:
  • a detecting unit configured to detect a physiological monitoring type input by the user
  • An activation unit configured to activate a first sensor group corresponding to the physiological monitoring type in a sensor located in a brain region of the user, and activate a second sensor group corresponding to the physiological monitoring type 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;
  • An acquisition unit configured to acquire, by using the first sensor group and the second sensor group, a plurality of physiological signals
  • an output unit configured to introduce the multi-path physiological signal into a physiological data analysis model corresponding to the physiological monitoring type, to obtain a monitoring result.
  • 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 matching physiological data analysis model is used for further data analysis to obtain corresponding monitoring results.
  • the monitoring process is simple and easy to implement, and can simultaneously meet various physiological monitoring needs, and the physiological monitoring difficulty is reduced to some extent. .
  • FIG. 1 is a flowchart of implementing a method for monitoring physiological data according to an embodiment of the present invention
  • FIG. 2 is a flowchart of implementing a method for monitoring physiological data according to another embodiment of the present invention.
  • FIG. 3 is a flowchart of implementing a method for monitoring physiological data according to another embodiment of the present invention.
  • FIG. 4 is a flowchart of implementing a method for monitoring physiological data according to another embodiment of the present invention.
  • FIG. 5 is a structural block diagram of a physiological data monitoring apparatus according to an embodiment of the present invention.
  • FIG. 1 is a flowchart showing an implementation process of a method for monitoring physiological data provided by an embodiment of the present invention, which is described in detail as follows:
  • 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.
  • 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 multi-path 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.
  • the physiological signal acquisition can be completed only by the physiological signal acquisition device, and the physiological signal data analysis can be completed by the mobile terminal.
  • S104 is implemented by S105 as shown in FIG. 2:
  • S105 Send the multiple physiological signals to the mobile terminal, so that the mobile terminal introduces the multiple physiological signals into the physiological data analysis model corresponding to the physiological monitoring type to obtain a monitoring result.
  • the physiological signal collection device can be wireless, Bluetooth or 2.4 GHz.
  • the short-distance communication method such as technology establishes a communication connection with the mobile terminal, and can also establish a communication connection with the mobile terminal through a mobile phone network or the like.
  • the mobile terminal includes, but is not limited to, a portable mobile terminal device with an intelligent operating system, such as a smart phone, a tablet, an in-vehicle computer, etc., and the terminal device has higher computing power, and can complete physiologically more accurately and accurately.
  • the data analysis of the signal, at the same time, the portability of such terminal equipment can be well matched with the wearable physiological signal acquisition device, so that the entire physiological monitoring process is not limited by time and place, and has ease of use.
  • transmitting the multiple physiological signals to the mobile terminal in S105 can be implemented by S106 as shown in FIG. 3:
  • a sleep time period may be preset according to user habits.
  • the system time of the physiological signal collection device is within the preset sleep time period, the user is in an inactive sleep state, then In this case, most of the mobile terminals used by the user are in a dormant state, or are not within the range in which the physiological signal collection device can communicate, and even if the monitoring result is obtained, the actual meaning that the user immediately knows is not obtained.
  • the physiological signal collected during the time period is temporarily stored in the memory chip built in the physiological signal collection device, and after the sleep period is over, the communication connection is established with the mobile terminal, and after the connection is successful,
  • the physiological signals collected during the sleep period are sent to the mobile terminal for data analysis to reduce the power consumption of the physiological signal collection device and the mobile terminal during the sleep period, and the success rate of data transmission can be further improved.
  • physiological signal acquisition and data analysis can also be performed by the physiological signal acquisition device, so that the physiological signal acquisition device and the mobile terminal are Only the transmission of the monitoring result needs to be completed, and the amount of communication data between the physiological signal collection device and the mobile terminal is reduced to some extent.
  • the solution is suitable for the application scenario in which the physiological signal acquisition device has certain data processing and analysis capabilities.
  • the method further includes:
  • S108 Generate an early warning information if the monitoring result reaches an early warning level.
  • 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 data analysis on the collected physiological signals to obtain monitoring results.
  • the monitoring result is also compared with the corresponding early warning level of the physiological monitoring type to determine whether the monitoring result reaches the warning level. If the warning level is reached, relevant warning information is generated, for example, the description of the warning level. And improving the suggestion and the like, and sending the warning information to the mobile terminal, so that the user can timely know the current physiological monitoring status and possible dangerous consequences through the mobile terminal.
  • 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 matching physiological data analysis model is used for further data analysis to obtain corresponding monitoring results.
  • the monitoring process is simple and easy to implement, and can simultaneously meet various physiological monitoring needs, and the physiological monitoring difficulty is reduced to some extent. .
  • 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.
  • FIG. 5 is a structural block diagram of the monitoring device for physiological data provided by the embodiment of the present invention. For the convenience of description, only the part related to the embodiment is shown. .
  • the apparatus includes:
  • the detecting unit 51 detects the type of physiological monitoring input by the user
  • the activation unit 52 activates the first sensor group corresponding to the physiological monitoring type in the sensor located in the brain region of the user, and activates the second sensor group corresponding to the physiological monitoring type in the sensor located in the 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 collecting unit 53 collects multiple physiological signals by using the first sensor group and the second sensor group;
  • the output unit 54 is configured to introduce the multi-path physiological signal into a physiological data analysis model corresponding to the physiological monitoring type to obtain a monitoring result.
  • the output unit 54 is specifically configured to:
  • the physiological monitoring type includes sleep monitoring
  • the output unit 54 is specifically configured to:
  • the multi-path physiological signal is transmitted to the mobile terminal when the system time is outside the preset sleep time period.
  • the device further includes:
  • a determining unit determining whether the monitoring result has reached an early warning level
  • the sending unit sends the warning information to the mobile terminal.
  • the physiological monitoring type includes sleep monitoring,
  • the activation unit 52 includes:
  • the first activation subunit activates the first sensor group 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, and a mouth Nasal air flow sensor and sound sensor;
  • the second activation subunit activates the second sensor group 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 components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. 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.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Physiology (AREA)
  • Cardiology (AREA)
  • Psychiatry (AREA)
  • Pulmonology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Ophthalmology & Optometry (AREA)
  • Human Computer Interaction (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Dentistry (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Optics & Photonics (AREA)
  • Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne un procédé et un dispositif de surveillance de données physiologiques. Le procédé de surveillance consiste à : détecter un type de surveillance physiologique entré par un utilisateur (S101) ; activer un premier groupe de capteurs parmi des capteurs au niveau d'une région cérébrale de l'utilisateur correspondant au type de surveillance physiologique entré, et activer un second groupe de capteurs parmi des capteurs au niveau d'une région thoracique d'un utilisateur correspondant au type de surveillance physiologique entré, le premier groupe de capteurs comprenant une électrode d'électroencéphalogramme de tissu, et le second groupe de capteurs comprenant une électrode d'électrocardiogramme de tissu (S102) ; collecter de multiples canaux de signal physiologique au moyen du premier groupe de capteurs et du second groupe de capteurs (S103) ; importer lesdits multiples canaux de signal physiologique dans un module d'analyse de données physiologiques correspondant au type de surveillance physiologique, et obtenir un résultat de surveillance (S104). Le processus de surveillance du présent procédé de surveillance est simple et facile à mettre en œuvre, peut satisfaire simultanément à différentes exigences de surveillance physiologique, et réduit dans une certaine mesure la difficulté de surveillance physiologique.
PCT/CN2017/086497 2016-12-30 2017-05-29 Procédé et dispositif de surveillance de données physiologiques WO2018120635A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611261032.2A CN106725456A (zh) 2016-12-30 2016-12-30 生理数据的监测方法及装置
CN201611261032.2 2016-12-30

Publications (1)

Publication Number Publication Date
WO2018120635A1 true WO2018120635A1 (fr) 2018-07-05

Family

ID=58954815

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/086497 WO2018120635A1 (fr) 2016-12-30 2017-05-29 Procédé et dispositif de surveillance de données physiologiques

Country Status (2)

Country Link
CN (1) CN106725456A (fr)
WO (1) WO2018120635A1 (fr)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106725456A (zh) * 2016-12-30 2017-05-31 包磊 生理数据的监测方法及装置
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
CN113229831B (zh) * 2021-05-10 2022-02-01 燕山大学 基于肌电和肌氧信号的运动功能监测管理方法
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
CN115633970B (zh) * 2022-12-19 2023-06-06 浙江强脑科技有限公司 便携式生理信号监测装置及生理信号监测方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1575745A (zh) * 2003-06-30 2005-02-09 索尼株式会社 控制设备和控制方法
CN101032393A (zh) * 2006-03-09 2007-09-12 广西壮族自治区桂林茶叶科学研究所 基于计算机的多功能医疗检测及监控方法和装置
CN103179897A (zh) * 2010-06-17 2013-06-26 卡式监控科学保健有限公司 用于监测睡眠及其它生理状况的方法和系统
US20140049627A1 (en) * 2012-08-14 2014-02-20 Good Sleep, Llc Systems And Methods For Sleep Monitoring
CN204744156U (zh) * 2015-07-17 2015-11-11 长春理工大学 基于无线生物医学传感的监护装置
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

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1723839A (zh) * 2005-07-21 2006-01-25 高春平 个性化立体健康指数测试方法及其装置
CN101504696A (zh) * 2008-02-05 2009-08-12 周常安 互动式生理分析方法
CN103876711B (zh) * 2014-03-27 2016-06-01 北京圣博亚科技有限公司 可穿戴电子设备以及人体健康监测管理系统
CN105361865B (zh) * 2014-08-18 2021-06-08 三星电子株式会社 可穿戴的生物特征信息测量装置

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1575745A (zh) * 2003-06-30 2005-02-09 索尼株式会社 控制设备和控制方法
CN101032393A (zh) * 2006-03-09 2007-09-12 广西壮族自治区桂林茶叶科学研究所 基于计算机的多功能医疗检测及监控方法和装置
CN103179897A (zh) * 2010-06-17 2013-06-26 卡式监控科学保健有限公司 用于监测睡眠及其它生理状况的方法和系统
US20140049627A1 (en) * 2012-08-14 2014-02-20 Good Sleep, Llc Systems And Methods For Sleep Monitoring
CN204744156U (zh) * 2015-07-17 2015-11-11 长春理工大学 基于无线生物医学传感的监护装置
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

Also Published As

Publication number Publication date
CN106725456A (zh) 2017-05-31

Similar Documents

Publication Publication Date Title
WO2018120635A1 (fr) Procédé et dispositif de surveillance de données physiologiques
US20240090833A1 (en) Smart watch
Mahmud et al. A wireless health monitoring system using mobile phone accessories
CN111867475B (zh) 次声生物传感器系统和方法
Lamonaca et al. Health parameters monitoring by smartphone for quality of life improvement
WO2018120643A1 (fr) Procédé et dispositif de rétroaction de résultat de surveillance physiologique
ES2748669T3 (es) Sistema de adquisición, comunicación y evaluación de datos de auscultación que incorpora instalaciones móviles
CN115568847A (zh) 用于收集肺活量测定法数据的方法和系统
US20200237225A1 (en) Wearable patient monitoring systems and associated devices, systems, and methods
US10736515B2 (en) Portable monitoring device for breath detection
US20140051944A1 (en) Systems And Methods For Sleep Monitoring
US11793453B2 (en) Detecting and measuring snoring
EP3946017A1 (fr) Capteur pouvant être porté et système de gestion de soins de santé mettant en oeuvre un capteur pouvant être porté
CA3189484A1 (fr) Systemes de detection et procedes de caracterisation de problemes de sante
CN204734469U (zh) 可穿戴式无创多生命体征监测设备
Pombo et al. ubiSleep: An ubiquitous sensor system for sleep monitoring
Kundu et al. Machine learning and iot based disease predictor and alert generator system
CN209136575U (zh) 一种头贴式舒适型睡眠监测装置
US20140051942A1 (en) Systems And Methods For Sleep Monitoring
Gong et al. Design and implementation of wearable dynamic electrocardiograph real-time monitoring terminal
Mahmud et al. A real time and non-contact multiparameter wearable device for health monitoring
US20200337567A1 (en) Systems and Methods of Arrhythmia Detection
KR101849857B1 (ko) 웨어러블 생체 진단 장치
Khalili Moghaddam et al. Ex vivo biosignatures
Havlik et al. A Modular System for Rapid Development of Telemedical Devices.

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17886604

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17886604

Country of ref document: EP

Kind code of ref document: A1