WO2018120635A1 - 生理数据的监测方法及装置 - Google Patents

生理数据的监测方法及装置 Download PDF

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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
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physiological
monitoring
sensor
sensor group
user
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PCT/CN2017/086497
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English (en)
French (fr)
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包磊
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深圳市善行医疗科技有限公司
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    • 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
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    • A61B5/369—Electroencephalography [EEG]
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    • 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
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    • 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.

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Abstract

一种生理数据的监测方法及装置。该监测方法包括检测用户输入的生理监测类型（S101）；在位于用户脑部区域的传感器中激活所输入的生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所输入的生理监测类型对应的第二传感器组，其中，第一传感器组中包括织物脑电电极，第二传感器组中包括织物心电电极（S102）；通过所述第一传感器组和所述第二传感器组采集得到多路生理信号（S103）；将该多路生理信号导入生理监测类型对应的生理数据分析模型，得到监测结果（S104）。该监测方法的监测过程简单易实现，能够同时满足各类不同的生理监测需求，在一定程度上降低了生理监测的难度。

Description

生理数据的监测方法及装置 技术领域
本发明属于监测技术领域，尤其涉及生理数据的监测方法及装置。
背景技术
随着科学技术的发展及生活质量的提高，人类对健康问题也越来越重视，越来越多的生理监测设备被投入使用，用于对用户的生理数据进行监测，从而为用户的健康状况提供可参考的数据来源。以睡眠分析为例，现有技术通过多导睡眠监测(PSG)来记录和分析用户在全夜睡眠过程中的多项睡眠生理学指标，以获取到监测结果，从而为睡眠障碍、睡眠呼吸紊乱和睡眠呼吸暂停、低通气综合征等的诊断提供可参考的监测数据。
现阶段，发明人在研发过程中发现生理监测设备存在以下技术缺陷：生理监测设备均为专业的医用设备，体积庞大，操作要求高，且不同的生理监测类型需要通过不同的医用设备来实现，导致监测过程复杂，存在一定的监测难度。
发明内容
有鉴于此，本发明实施例提供了生理数据的监测方法及装置，以解决目前对生理数据进行监测的监测过程复杂的问题。
第一方面，本发明实施例提供了一种生理数据的监测方法，所述方法包括：
检测用户输入的生理监测类型；
在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极；
通过所述第一传感器组和所述第二传感器组采集得到多路生理信号；
将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
第二方面，本发明实施例提供了一种生理数据的监测装置，所述装置包括：
检测单元，用于检测用户输入的生理监测类型；
激活单元，用于在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极；
采集单元，用于通过所述第一传感器组和所述第二传感器组采集得到多路生理信号；
输出单元，用于将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
本发明实施例中，可穿戴的生理信号采集装置中集成了各类生理信号传感器，可以根据用户的实际生理监测需求来激活其中的若干传感器对生理信号进行采集，并在此基础上调用与需求相匹配的生理数据分析模型来进行进一步的数据分析，以得到对应的监测结果，该监测过程简单易实现，并且能够同时满足各类不同的生理监测需求，在一定程度上降低了生理监测的难度。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的生理数据的监测方法的实现流程图；
图2是本发明另一实施例提供的生理数据的监测方法的实现流程图；
图3是本发明另一实施例提供的生理数据的监测方法的实现流程图；
图4是本发明另一实施例提供的生理数据的监测方法的实现流程图；
图5是本发明实施例提供的生理数据的监测装置的结构框图。
具体实施方式
以下描述中，为了说明而不是为了限定，提出了诸如特定***结构、技术之类的具体细节，以便透彻理解本发明实施例。然而，本领域的技术人员应当清楚，在没有这些具体细节的其它实施例中也可以实现本发明。在其它情况中，省略对众所周知的***、装置、电路以及方法的详细说明，以免不必要的细节妨碍本发明的描述。
图1示出了本发明实施例提供的生理数据的监测方法的实现流程，详述如下：
在S101中，检测用户输入的生理监测类型。
在本发明实施例中，所述生理监测，是指对用户在某时间段内的一类或多类生理信号进行采集，并对采集到的生理信号进行数据分析，以得出对应于特定生理监测需求在该时间段内的监测结果的过程，其中，不同的生理监测需求对应不同的生理监测类型，例如，生理监测类型可以包括如下几类：睡眠监测、疲劳度监测、疾病预警监测和情绪监测，等等。用户可以通过勾选生理监测类型选项、输入指令等方式来指定生理监测类型，在S101中，对用户输入的生理监测类型进行检测，该生理监测类型由用户根据其生理监测需求确定。
在S102中，在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极。
在确定了生理监测类型之后，根据对应的生理监测需求，同时在用户的脑部区域和胸部区域激活若干传感器，用于进行生理信号采集。针对不同的生理监测类型，所需调用的传感器是不同的，在本发明实施例中，用于采集生理信 号的至少包括位于用户脑部区域的脑电电极以及位于用户胸部区域的心电电极，即，至少以脑电信号和心电信号的结合为基础来完成生理监测。同时，该脑电电极和心电电极均采用织物电极的方式来实现生理信号采集，以通过织物电极的柔性材质来实现生理信号采集装置的可穿戴性。示例性地，可以通过脑电帽的产品形态来集成位于用户脑部区域的若干传感器，可以通过心电衣的产品形态来集成位于用户胸部区域的若干传感器。
在S103中，通过所述第一传感器组和所述第二传感器组采集得到多路生理信号。
在完成了上述第一传感器组和第二传感器组的激活之后，随即开始通过这两个传感器组中的传感器进行生理信号采集。
在S104中，将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
在本发明实施例中，在对采集到的生理信号进行数据处理时，不同的生理监测类型分别对应不同的生理数据分析模型，因此，在确定了生理监测类型之后，对应的生理数据分析模型也可以确定，该生理数据分析模型通过对应的函数接口被调用，并将采集得到的多路生理信号导入该生理数据分析模型，从而得到该生理监测类型所对应的监测结果。在具体的实现过程中，将采集到的多路生理信号导入生理数据分析模型进行数据处理之前，可以对采集到的多路生理信号均进行去噪、放大等预处理，以使得生理信号中的信号特征能够更好地在数据处理过程中被体现出来，以得到更为准确的监测结果。
作为本发明的一个实施例，可以仅通过生理信号采集装置来完成生理信号的采集，通过移动终端来完成生理信号的数据分析。具体地，在该实施例中，S104通过如图2所示的S105实现：
S105，将所述多路生理信号发送至移动终端，以使所述移动终端将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
在本发明实施例中，生理信号采集装置可以通过蓝牙、wifi或2.4GHz无线 技术等短距离通信方式与移动终端建立通信连接，也可以通过移动电话网络等方式与移动终端建立通信连接。所述移动终端，包括但不限于智能手机、平板、车载电脑等具备智能操作***的、可移动的便携式终端设备，此类终端设备具备更高的计算能力，能够更加高效、准确地完成对生理信号的数据分析，同时，此类终端设备所具备的便携性能够很好地与可穿戴的生理信号采集装置相配合，使得整个生理监测过程不受时间地点的限制，具备易用性。
进一步地，在上文实施例的基础之上，当生理监测类型为睡眠监测时，S105中将多路生理信号发送至移动终端可通过如图3所示的S106实现：
S106，当***时间处于预设的睡眠时间段之外时，将所述多路生理信号发送至移动终端。
在本发明实施例中，可以根据用户习惯预先设置好一睡眠时间段，默认当生理信号采集设备的***时间处于该预设的睡眠时间段之内时，用户处于非活跃的睡眠状态，那么在该情况下，用户所使用的移动终端大多也是处于休眠状态，或者不在生理信号采集装置可通信的范围之内，且此时即使是得到了监测结果，也并没有立即让用户知晓的实际意义，因此，将在该时间段内采集到的生理信号先暂时存储在生理信号采集装置内置的存储芯片中，待过了该睡眠时间段之后，再与移动终端建立通信连接，并在连接成功之后，将在该睡眠时间段内采集到的生理信号一并发送给移动终端进行数据分析，以在该睡眠时间段内降低生理信号采集装置及移动终端的功耗，且能够进一步提高数据传送的成功率。
相对于本发明图2对应的实施例，作为本发明的另一实施例，也可以由生理信号采集装置来完成生理信号的采集和数据分析，这样一来，生理信号采集装置与移动终端之间仅需要完成监测结果的传输，在一定程度上降低了生理信号采集装置与移动终端之间的通信数据量，该方案适用于生理信号采集装置具备一定数据处理分析能力的应用场景之下。
在图1对应的实施例的基础之上，作为本发明的一个实施例，在获取到了 监测结果之后，如图4所示，所述方法还包括：
S107，判断所述监测结果是否达到了预警等级。
S108，若所述监测结果达到了预警等级，生成预警信息。
S109，向移动终端发送所述预警信息。
即，在本发明实施例中，生理信号采集装置的存储芯片中预置了各类生理监测类型所对应的预警等级，生理信号采集装置除了对采集到的生理信号进行数据分析，得到监测结果，还会将监测结果与对应的生理监测类型的预警等级进行比对，以判断该监测结果是否达到预警等级，若达到了预警等级，还会生成相关的预警信息，例如关于该预警等级的情况说明、改善建议等等，并将该预警信息发送至移动终端，以使得用户可以通过移动终端及时地了解到其当前的生理监测状况及可能发生的危险后果。
本发明实施例中，可穿戴的生理信号采集装置中集成了各类生理信号传感器，可以根据用户的实际生理监测需求来激活其中的若干传感器对生理信号进行采集，并在此基础上调用与需求相匹配的生理数据分析模型来进行进一步的数据分析，以得到对应的监测结果，该监测过程简单易实现，并且能够同时满足各类不同的生理监测需求，在一定程度上降低了生理监测的难度。
进一步地，接下来对睡眠监测场景下本方案的实现进行详细说明：
当用户的实际生理监测需求为睡眠监测时，相比于现有的可穿戴睡眠监测装置只能采集心率、心电、呼吸等生理信号的情况，本方案中，一方面可以对用户的心电信号和脑电信号进行采集，另一方面，还会对用户的眼动信号、肌电信号、温度、血氧、口鼻气流、鼾声、***等生理信号也进行采集，以结合上述生理信号全方位地对用户进行睡眠监测。因此，当S101中检测到用户输入的生理监测类型为睡眠监测时，S102具体通过如下方式实现：
在位于用户脑部区域的传感器中激活所述第一传感器组，所述第一传感器组中还至少包括以下任意一类传感器：温度传感器、血氧传感器、***传感器、口鼻气流传感器和声音传感器；
在位于用户胸部区域的传感器中激活所述第二传感器组，所述第二传感器组中还至少包括以下任意一类传感器：腿动传感器。
其中，脑电电极可以用于采集用户的脑电信号、肌电信号及眼动信号，温度传感器用于采集用户的体温，血氧传感器用于采集用户的血氧饱和度、***传感器用于检测用户的***，口鼻气流传感器用于检测用户的呼吸，声音传感器用于检测用户的鼾声，心电电极用于采集用户的心电信号、心率并检测胸腹呼吸，腿动传感器用于检测用户的腿动情况。基于上述采集到的多种生理信号，将这些信号导入到用于进行睡眠分析的生理数据分析模型，在该模型的计算过程中基于睡眠监测领域的近似熵算法来完成数据分析，从而得到相应的睡眠监测结果。
对应于上文实施例所述的生理数据的监测方法，图5示出了本发明实施例提供的生理数据的监测装置的结构框图，为了便于说明，仅示出了与本实施例相关的部分。
参照图5，该装置包括：
检测单元51，检测用户输入的生理监测类型；
激活单元52，在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极；
采集单元53，通过所述第一传感器组和所述第二传感器组采集得到多路生理信号；
输出单元54，将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
可选地，所述输出单元54具体用于：
将所述多路生理信号发送至移动终端，以使所述移动终端将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
可选地，所述生理监测类型包括睡眠监测，所述输出单元54具体用于：
当***时间处于预设的睡眠时间段之外时，将所述多路生理信号发送至移动终端。
可选地，所述装置还包括：
判断单元，判断所述监测结果是否达到了预警等级；
生成单元，若所述监测结果达到了预警等级，生成预警信息；
发送单元，向移动终端发送所述预警信息。
可选地，所述生理监测类型包括睡眠监测，
所述激活单元52包括：
第一激活子单元，在位于用户脑部区域的传感器中激活所述第一传感器组，所述第一传感器组中还至少包括以下任意一类传感器：温度传感器、血氧传感器、***传感器、口鼻气流传感器和声音传感器；
第二激活子单元，在位于用户胸部区域的传感器中激活所述第二传感器组，所述第二传感器组中还至少包括以下任意一类传感器：腿动传感器。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，仅以上述各功能单元的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能单元完成，即将装置的内部结构划分成不同的功能单元或模块，以完成以上描述的全部或者部分功能。实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中，上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。另外，各功能单元的具体名称也只是为了便于相互区分，并不用于限制本申请的保护范围。上述装置中单元的具体工作过程，可以参考前述装置实施例中的对应过程，在此不再赘述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用 和设计约束条件。专业技术人员可以对每个特定的应用来使用不同装置来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
在本发明所提供的实施例中，应该理解到，所揭露的装置和装置，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个***，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口，装置或单元的间接耦合或通讯连接，可以是电性，机械或其它的形式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实施例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器执行本发明实施例各个实施例装置的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器、随机存取存储器、磁碟或者光盘等各种可以存储程序代码的介质。
以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述 实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明实施例各实施例技术方案的精神和范围。
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种生理数据的监测方法，其特征在于，所述方法包括：
    检测用户输入的生理监测类型；
    在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极；
    通过所述第一传感器组和所述第二传感器组采集得到多路生理信号；
    将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
  2. 如权利要求1所述的方法，其特征在于，所述将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果包括：
    将所述多路生理信号发送至移动终端，以使所述移动终端将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
  3. 如权利要求2所述的方法，其特征在于，所述生理监测类型包括睡眠监测，所述将所述多路生理信号发送至移动终端包括：
    当***时间处于预设的睡眠时间段之外时，将所述多路生理信号发送至移动终端。
  4. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    判断所述监测结果是否达到了预警等级；
    若所述监测结果达到了预警等级，生成预警信息；
    向移动终端发送所述预警信息。
  5. 如权利要求1至4任一项所述的方法，其特征在于，所述生理监测类型包括睡眠监测，所述在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，包括：
    在位于用户脑部区域的传感器中激活所述第一传感器组，所述第一传感器组中还至少包括以下任意一类传感器：温度传感器、血氧传感器、***传感器、口鼻气流传感器和声音传感器；
    在位于用户胸部区域的传感器中激活所述第二传感器组，所述第二传感器组中还至少包括以下任意一类传感器：腿动传感器。
  6. 一种生理数据的监测装置，其特征在于，所述装置包括：
    检测单元，用于检测用户输入的生理监测类型；
    激活单元，用于在位于用户脑部区域的传感器中激活所述生理监测类型对应的第一传感器组，并在位于用户胸部区域的传感器中激活所述生理监测类型对应的第二传感器组，其中，所述第一传感器组中包括织物脑电电极，所述第一传感器组中包括织物心电电极；
    采集单元，用于通过所述第一传感器组和所述第二传感器组采集得到多路生理信号；
    输出单元，用于将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
  7. 如权利要求6所述的装置，其特征在于，所述输出单元具体用于：
    将所述多路生理信号发送至移动终端，以使所述移动终端将所述多路生理信号导入所述生理监测类型对应的生理数据分析模型，得到监测结果。
  8. 如权利要求7所述的装置，其特征在于，所述生理监测类型包括睡眠监测，所述输出单元具体用于：
    当***时间处于预设的睡眠时间段之外时，将所述多路生理信号发送至移动终端。
  9. 如权利要求6所述的装置，其特征在于，所述装置还包括：
    判断单元，用于判断所述监测结果是否达到了预警等级；
    生成单元，用于若所述监测结果达到了预警等级，生成预警信息；
    发送单元，用于向移动终端发送所述预警信息。
  10. 如权利要求6至9任一项所述的装置，其特征在于，所述生理监测类型包括睡眠监测，所述激活单元包括：
    第一激活子单元，用于在位于用户脑部区域的传感器中激活所述第一传感器组，所述第一传感器组中还至少包括以下任意一类传感器：温度传感器、血氧传感器、***传感器、口鼻气流传感器和声音传感器；
    第二激活子单元，用于在位于用户胸部区域的传感器中激活所述第二传感器组，所述第二传感器组中还至少包括以下任意一类传感器：腿动传感器。
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CN106725456A (zh) * 2016-12-30 2017-05-31 包磊 生理数据的监测方法及装置
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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***
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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***
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***
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***
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

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