CN115206470A - Individual stress assessment method - Google Patents
Individual stress assessment method Download PDFInfo
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- CN115206470A CN115206470A CN202210711433.2A CN202210711433A CN115206470A CN 115206470 A CN115206470 A CN 115206470A CN 202210711433 A CN202210711433 A CN 202210711433A CN 115206470 A CN115206470 A CN 115206470A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- 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
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4884—Other medical applications inducing physiological or psychological stress, e.g. applications for stress testing
-
- 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
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- 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
Abstract
The invention discloses an individual stress assessment method, which comprises the following steps: a diagnostic model comprising a pre-stored vocabulary library; the vocabulary library stores keywords and vocabulary levels matched with the keywords; the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring emotion information of an individual user, and the emotion information of the individual user comprises questionnaire investigation information and sign acquisition information; the processing module is used for bearing the diagnosis model and the acquisition module so as to match the acquired emotion information of the individual user with the keywords in the vocabulary library to determine the vocabulary level of the emotion information of the individual user; then determining the weight corresponding to the vocabulary level, carrying out weighted summation on all vocabulary levels corresponding to the emotion information of the user according to the weight to obtain a weight, and determining the final emotion level of the individual user based on the corresponding relation between the weight and the emotion level; the output module is used for outputting or displaying the final emotion level of the individual user.
Description
Technical Field
The invention relates to an individual tension evaluation method, in particular to a method for evaluating various information provided by an individual to calculate corresponding emotion data.
Background
Emotion recognition is used to study the relationship between signal characteristics and emotions of a human body. The emotion recognition method judges the emotion of the user by acquiring the specific signal characteristics of the user. Further, the study, work and life can be better coped with.
Currently, emotion assessment methods generally collect physiological data related to emotion in a human body, such as body temperature, heartbeat and the like. In general, existing emotion recognition is mainly to evaluate an emotion corresponding to a time point based on a physiological parameter of the time point. However, the emotion is continuous, and the emotion of each time point changes on the basis of the historical emotion before the time point; some problems are subjective and cannot be completely reflected on physiological data, and problem collection needs to be carried out on individuals in a later period.
Disclosure of Invention
The invention aims to provide an individual stress assessment method, which solves the problem of single parameter.
In order to achieve the purpose, the invention provides the following technical scheme:
a method of assessing stress in an individual, comprising:
a diagnostic model comprising a pre-stored vocabulary library; the vocabulary library stores keywords and vocabulary levels matched with the keywords;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring emotion information of an individual user, and the emotion information of the individual user comprises questionnaire investigation information and sign acquisition information;
the processing module is used for bearing the diagnosis model and the acquisition module so as to match the acquired emotion information of the individual user with the keywords in the vocabulary library to determine the vocabulary level of the emotion information of the individual user; then determining the weight corresponding to the vocabulary level, carrying out weighted summation on all vocabulary levels corresponding to the emotion information of the user according to the weight to obtain a weight, and determining the final emotion level of the individual user based on the corresponding relation between the weight and the emotion level;
and the output module is used for outputting or displaying the final emotion level of the individual user.
Further, the method for acquiring information by physical signs comprises a plurality of physiological data acquired within time T1-T2; the plurality of physiological data are output as a plurality of keywords to match a lexical level.
Further, the times T1-T2 have a plurality of groups, the time span is at least half a year, and the time T1-T2 is at least half an hour.
Further, the physiological data includes age, gender, weight, body temperature, heart rate, hearing audio.
Furthermore, the questionnaire in the questionnaire research information at least comprises one question, and the question comprises a selection question type and a judgment question type, and does not relate to a question-answer subjective question type.
Further, each individual user may score each metric to obtain the individual user's final mood level, which may be in two categories including positive mood, including happy, relaxed, calm, and negative mood, including anxious, nervous, angry, depressed, sad, and painful.
The method comprises the steps of collecting heart rate and hearing audio frequency, carrying out filtering processing on the collected heart rate and hearing audio frequency through band-pass filtering or low-pass filtering according to a preset interference frequency band, and extracting effective heart rate and hearing audio frequency signals of all testees from the signals after filtering processing.
Preferably, the extracting the effective heart rate and the hearing audio signal of each subject from the filtered signal includes extracting the effective heart rate and the hearing audio signal of each subject from the filtered signal by using a principal component analysis algorithm or an independent component analysis algorithm, and amplifying the acquired effective heart rate and hearing audio signals.
Compared with the prior art, the invention has the beneficial effects that:
the invention can more quickly reflect the current emotion change of the testee, and the emotion of the testee is evaluated by the change of the physiological data of the testee, so that the data timeliness is strong.
The method has long test period and can monitor the testee for a long time, so the measured emotion of the testee is more real by the method.
The data collected by the invention is wide, not only comprises physiological data, but also can be used for carrying out text question answering on the testee, the psychological activity of the testee can be detected, and the detection mode is a test questionnaire with fixed answers, so that the method is simple and quick.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It is to be understood that the following description is only illustrative of the present invention and is not to be construed as limiting the present invention.
A method of assessing stress in an individual, comprising:
a diagnostic model comprising a pre-stored vocabulary library; the vocabulary library stores keywords and vocabulary levels matched with the keywords;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring emotion information of an individual user, and the emotion information of the individual user comprises questionnaire investigation information and sign acquisition information;
the processing module is used for bearing the diagnosis model and the acquisition module so as to match the acquired emotion information of the individual user with the keywords in the vocabulary library to determine the vocabulary level of the emotion information of the individual user; then determining the weight corresponding to the vocabulary level, carrying out weighted summation on all vocabulary levels corresponding to the emotion information of the user according to the weight to obtain a weight, and determining the final emotion level of the individual user based on the corresponding relation between the weight and the emotion level;
and the output module is used for outputting or displaying the final emotion level of the individual user.
In this embodiment, the method for acquiring information by physical signs includes acquiring a plurality of physiological data within a time T1-T2; the plurality of physiological data are output as a plurality of keywords to match a lexical level.
In this embodiment, there are several groups of times T1-T2, the time span is at least half a year, and the time of T1-T2 is at least half an hour.
In this embodiment, the physiological data includes age, sex, weight, body temperature, heart rate, and hearing audio.
In this embodiment, the questionnaire in the questionnaire survey information includes at least one question, and the question includes a choice question type and a judgment question type, which do not relate to a question-answer subjective question type.
In this embodiment, each individual user may score each index to obtain a final emotion level of the individual user, where the final emotion level of the individual user is in two categories, including positive emotions and negative emotions, the positive emotions include happy, relaxed, calm, and the negative emotions include anxiety, tension, anger, depression, sadness, and pain.
The heart rate and the hearing audio collected are respectively filtered through band-pass filtering or low-pass filtering according to the preset interference frequency band, and effective heart rate and hearing audio signals of each tested person are respectively extracted from the signals after filtering.
Preferably, the extracting the effective heart rate and the hearing audio signal of each subject from the filtered signal includes extracting the effective heart rate and the hearing audio signal of each subject from the filtered signal by using a principal component analysis algorithm or an independent component analysis algorithm, and amplifying the acquired effective heart rate and hearing audio signals.
A system used by an individual tension assessment method comprises an acquisition module, a processing module and an output module, wherein the processing module is a platform loaded with a processor, and the output module is connected with a display device to display the process of processing information and the final result.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (8)
1. A method of assessing stress in an individual, comprising:
a diagnostic model comprising a pre-stored vocabulary library; the vocabulary library stores keywords and vocabulary levels matched with the keywords;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring emotion information of an individual user, and the emotion information of the individual user comprises questionnaire investigation information and sign acquisition information;
the processing module is used for bearing the diagnosis model and the acquisition module so as to match the acquired emotion information of the individual user with the keywords in the vocabulary library to determine the vocabulary level of the emotion information of the individual user; then determining the weight corresponding to the vocabulary level, carrying out weighted summation on all vocabulary levels corresponding to the emotion information of the user according to the weight to obtain a weight, and determining the final emotion level of the individual user based on the corresponding relation between the weight and the emotion level;
and the output module is used for outputting or displaying the final emotion level of the individual user.
2. The method of assessing stress in an individual as claimed in claim 1, wherein: the method for acquiring information by physical signs comprises a plurality of physiological data acquired within time T1-T2; the plurality of physiological data are output as a plurality of keywords to match a lexical level.
3. The method of assessing individual stress according to claim 2, wherein: the time T1-T2 has a plurality of groups, the time span is at least half a year, and the time T1-T2 is at least half an hour.
4. The method of assessing stress in an individual according to claim 2, wherein: the physiological data includes age, gender, weight, body temperature, heart rate, hearing audio.
5. The method of assessing individual stress according to claim 2, wherein: the questionnaire in the questionnaire research information at least comprises one question, and the question comprises a selection question type and a judgment question type, and does not relate to a question-answer subjective question type.
6. The method of assessing stress of an individual according to claim 1, wherein: each individual user can score each metric to obtain the final emotion level of the individual user, which is divided into two categories, including positive emotions including happy, relaxed and calm, and negative emotions including anxiety, tension, anger, depression, sadness and pain.
7. The method of assessing individual stress according to claim 4, wherein: and respectively filtering the collected heart rate and hearing audio frequency through band-pass filtering or low-pass filtering according to a preset interference frequency band, and respectively extracting effective heart rate and hearing audio signals of each tested person from the signals subjected to filtering processing.
8. The method of assessing stress in an individual according to claim 7, wherein: and respectively extracting the effective heart rate and hearing audio signals of each tested person from the filtered signals, wherein the effective heart rate and hearing audio signals of each tested person are respectively extracted from the filtered signals by adopting a principal component analysis algorithm or an independent component analysis algorithm, and the acquired effective heart rate and hearing audio signals are amplified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210711433.2A CN115206470A (en) | 2022-06-22 | 2022-06-22 | Individual stress assessment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210711433.2A CN115206470A (en) | 2022-06-22 | 2022-06-22 | Individual stress assessment method |
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| Publication Number | Publication Date |
|---|---|
| CN115206470A true CN115206470A (en) | 2022-10-18 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210711433.2A Pending CN115206470A (en) | 2022-06-22 | 2022-06-22 | Individual stress assessment method |
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|---|---|
| CN (1) | CN115206470A (en) |
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2022
- 2022-06-22 CN CN202210711433.2A patent/CN115206470A/en active Pending
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