CN110464369A - A kind of state of mind based on human body physical sign numerical value judges algorithm - Google Patents
A kind of state of mind based on human body physical sign numerical value judges algorithm Download PDFInfo
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- CN110464369A CN110464369A CN201910810731.5A CN201910810731A CN110464369A CN 110464369 A CN110464369 A CN 110464369A CN 201910810731 A CN201910810731 A CN 201910810731A CN 110464369 A CN110464369 A CN 110464369A
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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
-
- 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
- A61B5/021—Measuring pressure in heart or blood vessels
-
- 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
-
- 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
- A61B5/14532—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 glucose, e.g. by tissue impedance measurement
-
- 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
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
Abstract
The invention discloses a kind of state of mind based on human body physical sign numerical value to judge algorithm, belong to state of mind analysis technical field, specifically includes the following steps: step 1, acquires sign numerical value of the user under different conditions, includes but are not limited to heart rate, blood pressure, blood oxygen, blood glucose；Step 2, the different sign numerical value according to user under different conditions, construct the data model of the user；Step 3, heart rate, blood pressure, blood oxygen, the blood glucose for using tested user in real time, carry out characteristic parameter extraction to signal collected and merge, fused result is input in trained fuzzy neural network, obtain the current state of tested user.The present invention merges a variety of human body physical sign numerical value, discriminant analysis is carried out using the respective feature state different to people, and reaches expected Classification and Identification effect by sorter model, compensates for the deficiency of single physiological signal feature detection, the accuracy rate of state of mind judgement is improved, is suitble to promote the use of.
Description
Technical field
The present invention relates to state of mind analysis technical field more particularly to a kind of state of mind based on human body physical sign numerical value
Judge algorithm.
Background technique
Promotion with the development and market of computer hardware technique to safety equipment demand, state of mind judgement
It just receives more and more attention and studies.
The application prospect of state of mind judgement is very extensive, currently, mainly including subjectivity to the detection of the state of mind of people
Detection and objective detection.Subjectivity detection is mainly evaluated by subjective assessment table, but relies primarily on the subjectivity of people
Judgement, otherness is big, and reliability is lower, generally cannot function as the standard scale of evaluation state.Objective detection is mainly based upon life
Manage the detection of feature and the facial characteristics based on machine vision, wherein the advantages of detection based on physiological signal is, record
Physiological signal has very high temporal resolution, is difficult the influence of the subjective desire by people, so as to objectively react
The state of people out, but deterministic process often only records a kind of physiological signal, and the judgement of the Lai Jinhang state of mind substantially reduces judgement
Accuracy rate；And it is easy to be illuminated by the light the influence of condition using the method for discrimination of the facial characteristics of video acquisition people, and to video detection
The requirement of technology is very high, and the reliability engineering needs of measurement make a breakthrough.
Therefore, propose that a kind of state of mind based on human body physical sign numerical value judges algorithm regarding to the issue above.
Summary of the invention
The object of the invention is that in order to solve the problems, such as that above-mentioned single physiological signal feature detection is insufficient and provides one
The state of mind of the kind based on human body physical sign numerical value judges algorithm, has the advantages that judging nicety rate is high.
To achieve the above object, the present invention adopts the following technical scheme:
The present invention protects a kind of state of mind based on human body physical sign numerical value to judge algorithm, specifically includes the following steps:
Step 1, sign numerical value of the acquisition user under different conditions, includes but are not limited to heart rate, blood pressure, blood oxygen, blood
Sugar；
Step 2, the different sign numerical value according to user under different conditions, construct the data model of the user, specific to walk
It is rapid as follows:
Step 2-1 carries out characteristic parameter extraction to each numerical value；
Extract the time-domain signal maximum value of heart rate, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation,
Frequency-region signal maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the feature as heart rate are joined
Number；
Extract the time-domain signal maximum value of blood pressure, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation,
Frequency-region signal maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the feature as blood pressure are joined
Number；
Extract the time-domain signal maximum value of blood oxygen, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation,
Frequency-region signal maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the feature as blood oxygen are joined
Number；
Extract the time-domain signal maximum value of blood glucose, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation,
Frequency-region signal maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the feature as blood glucose are joined
Number；
Step 2-2 obtains the user's correlation of heart rate, blood pressure, blood oxygen, blood glucose between any two under different conditions, and right
Related coefficient between unlike signal carries out grade classification；
Step 2-3 carries out Fusion Features using D-S method logarithm according to the related coefficient between unlike signal；
Step 2-4 will be right using the characteristic value of numerical value each under fused different conditions as the input of fuzzy neural network
Output of the User Status answered as fuzzy neural network, is trained fuzzy neural network；
Step 2-5, in conjunction with user PVT test as a result, obtaining the recognition accuracy of constructed neural network.
Step 2-6, judge whether recognition accuracy reaches given threshold, if so, completing the structure of the user data model
It builds；Otherwise 2-1 is returned to step.
Step 3, heart rate, blood pressure, blood oxygen, the blood glucose for using tested user in real time carry out feature ginseng to signal collected
Number is extracted and is merged, and fused result is input in trained fuzzy neural network, and it is current to obtain tested user
State.
Further technical solution, the current state of the tested user include excited, normal, tired, sad.
The present invention also protects a kind of state of mind based on human body physical sign numerical value to judge system, including acquisition unit, processing
Device unit and prompt warning unit, wherein
Acquisition unit is sent to for acquiring the sign numerical value of user's heart rate, blood pressure, blood oxygen, blood glucose, and by sign numerical value
In processor unit；
Processor unit, when for constructing data model, to heart rate value collected, pressure value, blood oxygen levels, blood glucose value into
Row characteristic parameter extraction obtains the user's correlation of acquired numerical value between any two under different conditions, and according to related coefficient
Carry out grade classification；Fusion Features are carried out using D-S method logarithm, by the characteristic value of numerical value each under fused different conditions
As the input of fuzzy neural network, using corresponding User Status as the output of fuzzy neural network, to fuzzy neural network
It is trained；In conjunction with user PVT test as a result, the recognition accuracy of constructed neural network is obtained, if recognition accuracy
Given threshold is reached, then completes the building of the user data model；
And when being used for real-time detection, characteristic parameter extraction is carried out to numerical value collected and is merged, it will be fused
As a result it is input in trained fuzzy neural network, obtains the current state of tested user, and will test result and be sent to and mention
Show in warning unit；
Prompt warning unit: user is prompted according to the state of mind judging result of detection.
Compared with prior art, the present invention having the following obvious advantages:
1, this kind judges algorithm based on the state of mind of human body physical sign numerical value, merges a variety of human body physical sign numerical value, using each
From the feature state different to people carry out discriminant analysis, and reach expected Classification and Identification effect by sorter model, more
The deficiency for having mended single physiological signal feature detection, improves the accuracy rate of state of mind judgement；With heart rate, blood pressure, blood oxygen, blood glucose
Etc. detection method based on signs numerical value be a kind of implicit human-computer exchange, it is real in the case where not interfering the normal life of people
Now to the long-term detection of the state of mind under human body natural's state.
2, the principle of the present invention is simple, easy to use, accuracy rate with higher, practical, is suitble to promote the use of.
Detailed description of the invention
Fig. 1 is that the present invention is based on the state of mind of human body physical sign numerical value to judge algorithm flow chart.
Fig. 2 is the data model flow chart for constructing the user of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Refering to fig. 1 shown in -2, a kind of state of mind based on human body physical sign numerical value judges algorithm, specifically includes following step
It is rapid:
Step 1, sign numerical value of the acquisition user under different conditions, includes but are not limited to heart rate, blood pressure, blood oxygen, blood
Sugar；
Step 2, the different sign numerical value according to user under different conditions, construct the data model of the user, specific to walk
It is rapid as follows:
Step 2-1 carries out characteristic parameter extraction to each numerical value；
Extract the time-domain signal maximum value of heart rate, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation,
Frequency-region signal maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the feature as heart rate are joined
Number；Extract time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, the time-domain signal standard deviation, frequency domain letter of blood pressure
Number maximum value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood pressure；It extracts
The time-domain signal maximum value of blood oxygen, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation, frequency-region signal are maximum
Value, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood oxygen；Extract blood glucose
Time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, time-domain signal standard deviation, frequency-region signal maximum value, frequency domain
Signal minimum, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood glucose；
Step 2-2 obtains the user's correlation of heart rate, blood pressure, blood oxygen, blood glucose between any two under different conditions, and right
Related coefficient between unlike signal carries out grade classification；
Step 2-3 carries out Fusion Features using D-S method logarithm according to the related coefficient between unlike signal；
Step 2-4 will be right using the characteristic value of numerical value each under fused different conditions as the input of fuzzy neural network
Output of the User Status answered as fuzzy neural network, is trained fuzzy neural network；
Step 2-5, in conjunction with user PVT test as a result, obtaining the recognition accuracy of constructed neural network.
Step 2-6, judge whether recognition accuracy reaches given threshold, if so, completing the structure of the user data model
It builds；Otherwise 2-1 is returned to step.
Step 3, heart rate, blood pressure, blood oxygen, the blood glucose for using tested user in real time carry out feature ginseng to signal collected
Number is extracted and is merged, and fused result is input in trained fuzzy neural network, and it is current to obtain tested user
State.
The current state of the tested user includes excited, normal, tired, sad.
A kind of state of mind based on human body physical sign numerical value judges system, including acquisition unit, processor unit and mentions
Show warning unit, wherein
Acquisition unit is sent to for acquiring the sign numerical value of user's heart rate, blood pressure, blood oxygen, blood glucose, and by sign numerical value
In processor unit；
Processor unit, when for constructing data model, to heart rate value collected, pressure value, blood oxygen levels, blood glucose value into
Row characteristic parameter extraction obtains the user's correlation of acquired numerical value between any two under different conditions, and according to related coefficient
Carry out grade classification；Fusion Features are carried out using D-S method logarithm, by the characteristic value of numerical value each under fused different conditions
As the input of fuzzy neural network, using corresponding User Status as the output of fuzzy neural network, to fuzzy neural network
It is trained；In conjunction with user PVT test as a result, the recognition accuracy of constructed neural network is obtained, if recognition accuracy
Given threshold is reached, then completes the building of the user data model；
And when being used for real-time detection, characteristic parameter extraction is carried out to numerical value collected and is merged, it will be fused
As a result it is input in trained fuzzy neural network, obtains the current state of tested user, and will test result and be sent to and mention
Show in warning unit；
Prompt warning unit: user is prompted according to the state of mind judging result of detection.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (3)
1. a kind of state of mind based on human body physical sign numerical value judges algorithm, it is characterised in that: specifically includes the following steps:
Step 1, sign numerical value of the acquisition user under different conditions, includes but are not limited to heart rate, blood pressure, blood oxygen, blood glucose；
Step 2, the different sign numerical value according to user under different conditions, construct the data model of the user, specific steps are such as
Under:
Step 2-1 carries out characteristic parameter extraction to each numerical value；
Extract time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, the time-domain signal standard deviation, frequency domain of heart rate
Signal maximum, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as heart rate；
Extract time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, the time-domain signal standard deviation, frequency domain of blood pressure
Signal maximum, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood pressure；
Extract time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, the time-domain signal standard deviation, frequency domain of blood oxygen
Signal maximum, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood oxygen；
Extract time-domain signal maximum value, time-domain signal minimum value, time-domain signal mean value, the time-domain signal standard deviation, frequency domain of blood glucose
Signal maximum, frequency-region signal minimum value, frequency-region signal mean value and frequency-region signal standard deviation, the characteristic parameter as blood glucose；
Step 2-2 obtains the user's correlation of heart rate, blood pressure, blood oxygen, blood glucose between any two under different conditions, and to difference
Related coefficient between signal carries out grade classification；
Step 2-3 carries out Fusion Features using D-S method logarithm according to the related coefficient between unlike signal；
Step 2-4 will be corresponding using the characteristic value of numerical value each under fused different conditions as the input of fuzzy neural network
Output of the User Status as fuzzy neural network, is trained fuzzy neural network；
Step 2-5, in conjunction with user PVT test as a result, obtaining the recognition accuracy of constructed neural network.
Step 2-6, judge whether recognition accuracy reaches given threshold, if so, completing the building of the user data model；It is no
Then return to step 2-1.
Step 3, heart rate, blood pressure, blood oxygen, the blood glucose for using tested user in real time, carry out characteristic parameter to signal collected and mention
It takes and is merged, fused result is input in trained fuzzy neural network, obtain the current shape of tested user
State.
2. a kind of state of mind based on human body physical sign numerical value according to claim 1 judges algorithm, it is characterised in that: institute
It includes excited, normal, tired, sad for stating the current state of tested user.
3. a kind of state of mind based on human body physical sign numerical value judges system, it is characterised in that: including acquisition unit, processor list
Member and prompt warning unit, wherein
Acquisition unit is sent to processing for acquiring the sign numerical value of user's heart rate, blood pressure, blood oxygen, blood glucose, and by sign numerical value
In device unit；
Processor unit when for constructing data model, carries out heart rate value collected, pressure value, blood oxygen levels, blood glucose value special
Parameter extraction is levied, obtains the user's correlation of acquired numerical value between any two under different conditions, and carry out according to related coefficient
Grade classification；Using D-S method logarithm carry out Fusion Features, using the characteristic value of numerical value each under fused different conditions as
The input of fuzzy neural network carries out fuzzy neural network using corresponding User Status as the output of fuzzy neural network
Training；In conjunction with user PVT test as a result, the recognition accuracy of constructed neural network is obtained, if recognition accuracy reaches
Given threshold then completes the building of the user data model；
And when being used for real-time detection, characteristic parameter extraction is carried out to numerical value collected and is merged, by fused result
It is input in trained fuzzy neural network, obtains the current state of tested user, and will test result and be sent to prompt police
It accuses in unit；
Prompt warning unit: user is prompted according to the state of mind judging result of detection.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112790751A (en) * | 2020-12-29 | 2021-05-14 | 福建中科多特健康科技有限公司 | Method, system and storage device for judging and training attention degree of children based on real-time heart rate |
| CN113545761A (en) * | 2020-04-23 | 2021-10-26 | 疆域康健创新医疗科技成都有限公司 | Physiological parameter measurement calibration method, device, computer device and storage medium |
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| CN105877766A (en) * | 2016-06-21 | 2016-08-24 | 东北大学 | Mental state detection system and method based on multiple physiological signal fusion |
| CN109620260A (en) * | 2018-12-05 | 2019-04-16 | 广州杰赛科技股份有限公司 | Psychological condition recognition methods, equipment and storage medium |
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| CN105877766A (en) * | 2016-06-21 | 2016-08-24 | 东北大学 | Mental state detection system and method based on multiple physiological signal fusion |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113545761A (en) * | 2020-04-23 | 2021-10-26 | 疆域康健创新医疗科技成都有限公司 | Physiological parameter measurement calibration method, device, computer device and storage medium |
| CN112790751A (en) * | 2020-12-29 | 2021-05-14 | 福建中科多特健康科技有限公司 | Method, system and storage device for judging and training attention degree of children based on real-time heart rate |
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Application publication date: 20191119 |