CN104490407A - Wearable mental stress evaluating device and method - Google Patents
Wearable mental stress evaluating device and method Download PDFInfo
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- 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
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Abstract
The invention discloses a wearable mental stress evaluating device and method. The wearable mental stress evaluating device comprises a physiological data sensor module, a data recording module, a data analysis module, a display module and a power supply module, wherein the physiological data sensor module is used for transmitting measured physiological parameter signals to the data recording module; the data recording module is used for converting the measured physiological parameter signals to obtain physiological parameter data; the physiological parameter data is transmitted to the data analysis module; the data analysis module is used for analyzing the physiological parameter data through an individual physiological-mental model, and used for transmitting analysis result to the display module for display. By adopting the wearable mental stress testing device and the method, precise quantitative evaluation on mental stress is realized, due to the establishment of the individual physiological-mental model, the evaluation on the mental stress can better conform to the individual physiological signal characteristics of a target user, and better evaluation output is obtained.
Description
Technical field
The present invention relates to a kind of wearable device, particularly the wearable mental pressure evaluating apparatus of one, also relates to a kind of data analysis processing method of wearable device simultaneously, belongs to mental health applied technical field.
Background technology
Along with the rise of wearable device, increasing equipment can gather the physiological parameter of people under daily sight: as heart rate, skin temperature etc.Under daily sight, gather physiological data by long time-histories, more effectively can make statistics and prediction to the physiological conditions of people.At present, existing more technology carries out the evaluation and test expansion of physiological health by wearable device round utilizing, commercially also have more enabled production.But mental health is concerned as the key component of health is less.
Mental pressure is one of main psychological health problem of facing of modern society people, and there is material impact the aspect such as Working Life efficiency, quality of the life of high mental pressure to people.On market, existing wearable device does not still possess the function evaluated and tested mental pressure situation by gathering physiological parameter, and this function has very important value to the crowd being subject to mental pressure puzzlement, be necessary to set up a kind of mental pressure evaluating method based on wearable physiological measurements technology and device.Thus, be very important by the mental health of wearable device monitoring people, and have actual value.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of wearable mental pressure evaluating apparatus of one and the mental pressure evaluating method thereof that can obtain user psychology health degree.
For realizing above-mentioned goal of the invention, the invention provides a kind of wearable mental pressure evaluating apparatus, comprising:
Physiological data sensor module, data recordin module, Data Analysis Model, display module and power module, wherein,
Measured physiological parameter signals is transferred to described data recordin module by described physiological data sensor module, described data recordin module obtains physiological parameter data after carrying out conversion process to measured physiological parameter signals, physiological parameter data is transferred to described data analysis module, analysis result to physiological parameter data analysis by individuation physiology-mental model, and is transferred to described display module and shows by described data analysis module.
Wherein more preferably, also comprise communication module, described communication module and described data analysis module communicate to connect;
Physiological parameter data after described data analysis module analysis transfers to host computer by described communication module.
Wherein more preferably, described communication module is wireless communication module
Analysis result is wirelessly transferred to computer or smart mobile phone by described data analysis module.
Wherein more preferably, described physiological data sensor module, also comprises: heart rate sensor submodule, motion sensor submodule and skin temperature transducer submodule, wherein,
Described heart rate sensor submodule uses and obtains pulse wave based near infrared light or visible reflectance imaging, and the cyclic fluctuation rhythm and pace of moving things extracting pulse wave obtains heart rate information;
Described motion sensor submodule obtains by three axis accelerometer the wrist motion data wearing Intelligent bracelet, by calculating the quadratic sum of 3-axis acceleration to obtain motion conditions information;
The sheet metal conductive skin temperature of described skin temperature transducer by contacting with targeted customer's wrist portion, and changed by the impedance value of connected critesistor with temperature to obtain skin temperature information.
Wherein more preferably, the physiological parameter signals of reception is carried out analog digital conversion by described data recordin module, and carries out sampling and storing.
Wherein more preferably, when described data recordin module is sampled to physiological parameter signals, sample rate is not less than 6Hz.
Present invention also offers a kind of mental pressure evaluating method, comprise the following steps:
S1, the physiology-psychological basis model selecting coupling informative population mental pressure to evaluate and test according to basic demographic;
S2, to based on described physiology-psychological basis model calibration, build the individuation physiology-mental model based on user's physiological parameter feature;
The physiological data of S3, Real-time Collection user, by individuation physiology-mental model to physiological parameter data analysis, and shows, or is uploaded to host computer.
Wherein more preferably, described step S1 is further comprising the steps:
S11, the physiologic information gathering several coupling experimenter and mental pressure information;
S12, described physiologic information and mental pressure information are carried out Fourier transformation, obtain the response characteristic of Different time scales;
S13, by multivariate autoregressive model, time course modeling is carried out to described response characteristic, after repeatedly training, obtain linear classifier;
S14, crosscheck is carried out to described linear classifier, the feature quantity of described linear classifier is deleted, obtains physiology-psychological basis model.
Wherein more preferably, in described step S13, described linear classifier with multivariate regression models parameter for feature, with subjective psychology stress level for target.
Wherein more preferably, described step S2 is further comprising the steps:
S21, the collection physiological data of targeted customer and the subjective stress level result of random time section;
S22, according to described physiological data and subjective stress level result optimizing physiology-psychological basis model, obtain the subject highlighting physiology-mental model meeting targeted customer.
Compared with prior art, the present invention has following beneficial effect:
(1) present invention achieves the accurate quantification evaluation and test of mental pressure;
(2) structure of individuation physiology-mental model makes the evaluation and test of mental pressure better can meet the physiological signal feature of targeted customer's individuality, obtains the evaluation and test Output rusults of better prediction;
(3) under daily life sight, can carry out the evaluation and test of long mental pressure easily, the evaluation more comprehensive to the mental pressure level of targeted customer, for follow-up mental pressure intervention provides data supporting.
Accompanying drawing explanation
Fig. 1 is wearable mental pressure evaluating apparatus structural representation provided by the present invention;
Fig. 2 is one provided by the present invention wearable mental pressure evaluating method flow chart.
Detailed description of the invention
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
For achieving the above object, the present invention will be achieved through the following technical solutions:
The invention provides a kind of wearable mental pressure evaluating apparatus, as shown in Figure 1, comprise physiological data sensor module, data recordin module, Data Analysis Model, display module, communication module and power module.
Measured data are transferred to data recordin module by physiological data sensor module, data recordin module transfers to data analysis module after processing measured data, data analysis module passes through individuation physiology-mental model to physiological parameter data analysis, analysis result is transferred to display module show, and transfer to corresponding computer or mobile terminal by communication module.
Wherein, physiological data sensor module, also comprises: heart rate sensor submodule, motion sensor submodule and skin temperature transducer submodule.Heart rate sensor submodule uses and obtains pulse wave based on nearly near infrared light or visible reflectance imaging, and the cyclic fluctuation rhythm and pace of moving things extracting pulse wave obtains heart rate information; Motion sensor submodule obtains by three axis accelerometer the wrist motion data wearing Intelligent bracelet, by calculating the quadratic sum of 3-axis acceleration to obtain motion conditions information; The sheet metal conductive skin temperature of skin temperature transducer by contacting with targeted customer's wrist portion, and changed by the impedance value of connected critesistor with temperature to obtain skin temperature information.
Data recordin module is connected with data recordin module, and the physiological parameter that sensor collects is carried out analog digital conversion, samples and carries out data storage.The sample rate of above-mentioned physiological data is not less than 6Hz, and bracelet can be no less than 48 hour datas by Coutinuous store.
Data recordin module is connected with data analysis module, and the digital signal processor DSP that the data after digitized are configured by Intelligent bracelet according to individuation physiology-mental model is calculated, and exports mental pressure evaluation result.
Finally, data analysis module is connected with display module and communication module, analysis result is shown by display module, present to realize result in Intelligent bracelet, also by wireless data transmission technology (including but not limited to bluetooth, WiFi), result can be transferred to smart mobile phone by communication module, personal computer carries out result and present or the further analysis of data.
The invention also discloses a kind of wearable mental pressure evaluating method, realize based on above-mentioned wearable mental pressure evaluating apparatus, as shown in Figure 2, comprise the following steps: S1, the physiology-psychological basis model selecting coupling informative population mental pressure to evaluate and test according to basic demographic; S2, to based on described physiology-psychological basis model calibration, build the individuation physiology-mental model based on user's physiological parameter feature; The physiological data of S3, Real-time Collection user, by individuation physiology-mental model to physiological parameter data analysis, and shows, or is uploaded to host computer.Launch to describe in detail to wearable mental pressure evaluating method provided by the invention below.
Physiology-psychological basis the model of S1, the evaluation and test of structure mental pressure.
Because the mental pressure evaluation and test of physiologic information has difference between larger colony, therefore, need the basic demographic such as the age composition according to targeted user population, Working Life rhythm to select to mate colony, carry out structure physiology-psychological basis model.The present invention adopts feature extraction and mode identification method, to the physiologic information data and the subjective psychology pressure report data that come Self Matching colony, carry out series of features extraction and pattern recognition, thus the basis life-mental model can distinguishing different mental stress level can be built.
S2, build individuation physiology-mental model based on user's physiological parameter feature.
Due to the diversity of individual consumer, need to carry out individuation process to different users, gather the unique user physiological data of 24-48 hour, and repeatedly report subjective psychology pressure condition within this time.According to the physiology of gathered user and the data of subjective psychology pressure, physiology-psychological basis model is modified, with the final calibration of optimized integration model to individuation model.Individuation physiology-mental model after calibration can drop into actual use.
S3, wearable mental pressure evaluating apparatus.
By the individuation physiology-mental model parameter downloads after calibration in a wearable Intelligent bracelet, this Intelligent bracelet realizes physiologic information data acquisition, and carries out the complete function of subjective pressure prediction calculating according to physiological data and individuation model.
Mental pressure evaluation result can be presented by Intelligent bracelet, smart mobile phone or personal computer.
Embodiment
On above-mentioned wearable mental pressure evaluating apparatus basis, the present embodiment adopts above-mentioned wearable mental pressure evaluating method to carry out structure physiology-mental model for user, comprising:
(1) the coupling colony for targeted customer demographic characteristics carries out physiology-psychological basis model construction.Several coupling population subjects is needed in this step, preferably, the present embodiment selects at least 30 experimenters, every subject wears can measure heart rate, skin temperature, body kinematics information wearable mental pressure evaluating apparatus (wearable Intelligent bracelet) be no less than 14 day time, further, randomly draw at least 5 time periods by smart mobile phone or way of questionnaires every day report real-time mental pressure level.
The physiological data obtained will pass through Fourier transformation, obtain the response characteristic of Different time scales, and carry out time course modeling by multivariate autoregressive model, repeatedly obtain after training with multivariate regression models parameter be feature, the subjective psychology stress level linear classifier that is target.Carry out crosscheck to linear classifier, its feature quantity is deleted to reasonable level by the accuracy rate according to gained grader.This linear classifier is the physiology-psychological basis model of the present embodiment.
(2) individuation physiology-mental model is built.On above-mentioned linear classifier model basis, gather the subjective stress level result of targeted customer's physiological data of 24-48 hour and random 5-10 time period, the design parameter of linear classifier model is optimized further, makes it meet the individuation feature of this targeted customer.Finally, after carrying out computational efficiency optimization to this linear classifier model, the data analysis module being positioned over wearable Intelligent bracelet realizes.
(3) user is by wearing this Intelligent bracelet, can in real time or timing by data upload to computer or smart mobile phone, paid close attention to my mental pressure situation by computer or smart mobile phone at any time, and make corresponding adjustment timely.
In sum, mental pressure evaluating method and device disclosed in the embodiment of the present invention, achieve the accurate quantification evaluation and test of mental pressure.The structure of individuation physiology-mental model makes the evaluation and test of mental pressure better can meet the physiological signal feature of targeted customer's individuality, obtains the evaluation and test Output rusults of better predictive power.Simultaneously, realize pressure evaluation and test based on wearable device under daily life sight, the evaluation and test of long mental pressure can be carried out easily, the evaluation more comprehensive to the mental pressure level of targeted customer, and propose follow-up mental pressure intervention means data supporting is provided.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (10)
1. a wearable mental pressure evaluating apparatus, is characterized in that, comprises physiological data sensor module, data recordin module, Data Analysis Model, display module and power module, wherein,
Measured physiological parameter signals is transferred to described data recordin module by described physiological data sensor module, described data recordin module obtains physiological parameter data after carrying out conversion process to measured physiological parameter signals, physiological parameter data is transferred to described data analysis module, analysis result to physiological parameter data analysis by individuation physiology-mental model, and is transferred to described display module and shows by described data analysis module.
2. wearable mental pressure evaluating apparatus as claimed in claim 1, is characterized in that, also comprise communication module, and described communication module and described data analysis module communicate to connect;
Physiological parameter data after described data analysis module analysis transfers to host computer by described communication module.
3. wearable mental pressure evaluating apparatus as claimed in claim 2, it is characterized in that, described communication module is wireless communication module
Analysis result is wirelessly transferred to computer or smart mobile phone by described data analysis module.
4. wearable mental pressure evaluating apparatus as claimed in claim 1, is characterized in that,
Described physiological data sensor module, also comprises: heart rate sensor submodule, motion sensor submodule and skin temperature transducer submodule, wherein,
Described heart rate sensor submodule uses and obtains pulse wave based near infrared light or visible reflectance imaging, and the cyclic fluctuation rhythm and pace of moving things extracting pulse wave obtains heart rate information;
Described motion sensor submodule obtains by three axis accelerometer the wrist motion data wearing Intelligent bracelet, by calculating the quadratic sum of 3-axis acceleration to obtain motion conditions information;
The sheet metal conductive skin temperature of described skin temperature transducer by contacting with targeted customer's wrist portion, and changed by the impedance value of connected critesistor with temperature to obtain skin temperature information.
5. wearable mental pressure evaluating apparatus as claimed in claim 1, is characterized in that,
The physiological parameter signals of reception is carried out analog digital conversion by described data recordin module, and carries out sampling and storing.
6. wearable mental pressure evaluating apparatus as claimed in claim 5, it is characterized in that, when described data recordin module is sampled to physiological parameter signals, sample rate is not less than 6Hz.
7. a mental pressure evaluating method, is characterized in that, comprises the following steps:
S1, the physiology-psychological basis model selecting coupling informative population mental pressure to evaluate and test according to basic demographic;
S2, to based on described physiology-psychological basis model calibration, build the individuation physiology-mental model based on user's physiological parameter feature;
The physiological data of S3, Real-time Collection user, by individuation physiology-mental model to physiological parameter data analysis, and shows, or is uploaded to host computer.
8. mental pressure evaluating method as claimed in claim 7, is characterized in that,
Described step S1 is further comprising the steps:
S11, the physiologic information gathering several coupling experimenter and mental pressure information;
S12, described physiologic information and mental pressure information are carried out Fourier transformation, obtain the response characteristic of Different time scales;
S13, by multivariate autoregressive model, time course modeling is carried out to described response characteristic, after repeatedly training, obtain linear classifier;
S14, crosscheck is carried out to described linear classifier, the feature quantity of described linear classifier is deleted, obtains physiology-psychological basis model.
9. mental pressure evaluating method as claimed in claim 8, is characterized in that,
In described step S13, described linear classifier with multivariate regression models parameter for feature, with subjective psychology stress level for target.
10. mental pressure evaluating method as claimed in claim 7, is characterized in that,
Described step S2 is further comprising the steps:
S21, the collection physiological data of targeted customer and the subjective stress level result of random time section;
S22, according to described physiological data and subjective stress level result optimizing physiology-psychological basis model, obtain the subject highlighting physiology-mental model meeting targeted customer.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN105249958A (en) * | 2015-10-09 | 2016-01-20 | 北京奇虎科技有限公司 | Human body information monitoring method, apparatus and system |
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CN105797257A (en) * | 2016-05-06 | 2016-07-27 | 包磊 | Biofeedback training system and method and intelligent terminal |
CN105832350A (en) * | 2016-05-06 | 2016-08-10 | 姜振宇 | Monitored wristband, monitoring wristbands and abnormal emotion monitoring system and method |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2645608Y (en) * | 2003-10-14 | 2004-10-06 | 北京新科永创科技有限公司 | Psychological skill training feedback instrument |
CN101331490A (en) * | 2005-09-12 | 2008-12-24 | 埃默迪弗系统股份有限公司 | Detection of and interaction using mental states |
US20110092790A1 (en) * | 2009-10-16 | 2011-04-21 | Oliver Wilder-Smith | Biosensor module with leadless contacts |
JP2013027570A (en) * | 2011-07-28 | 2013-02-07 | Panasonic Corp | Psychological condition evaluation device, psychological condition evaluation system, psychological condition evaluation method, and program |
CN103315753A (en) * | 2013-06-24 | 2013-09-25 | 西南大学 | Portable sentiment analyzer and sentiment analysis method |
CN103584872A (en) * | 2013-10-29 | 2014-02-19 | 燕山大学 | Psychological stress assessment method based on multi-physiological-parameter integration |
-
2014
- 2014-12-08 CN CN201410746621.4A patent/CN104490407A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2645608Y (en) * | 2003-10-14 | 2004-10-06 | 北京新科永创科技有限公司 | Psychological skill training feedback instrument |
CN101331490A (en) * | 2005-09-12 | 2008-12-24 | 埃默迪弗系统股份有限公司 | Detection of and interaction using mental states |
US20110092790A1 (en) * | 2009-10-16 | 2011-04-21 | Oliver Wilder-Smith | Biosensor module with leadless contacts |
JP2013027570A (en) * | 2011-07-28 | 2013-02-07 | Panasonic Corp | Psychological condition evaluation device, psychological condition evaluation system, psychological condition evaluation method, and program |
CN103315753A (en) * | 2013-06-24 | 2013-09-25 | 西南大学 | Portable sentiment analyzer and sentiment analysis method |
CN103584872A (en) * | 2013-10-29 | 2014-02-19 | 燕山大学 | Psychological stress assessment method based on multi-physiological-parameter integration |
Non-Patent Citations (1)
Title |
---|
孙洪央: "基于多生理信号的压力状态下情绪识别方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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---|---|---|---|---|
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WO2017197801A1 (en) * | 2016-05-20 | 2017-11-23 | 包磊 | Stress management method and system |
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WO2018090304A1 (en) * | 2016-11-17 | 2018-05-24 | 华为技术有限公司 | Mental stress evaluation method and device |
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WO2019191864A1 (en) * | 2018-04-02 | 2019-10-10 | 华为技术有限公司 | Method and device for determining pressure value |
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