CN106923846A - A kind of psychological pressure assessment and reponse system - Google Patents

A kind of psychological pressure assessment and reponse system Download PDF

Info

Publication number
CN106923846A
CN106923846A CN201511030904.XA CN201511030904A CN106923846A CN 106923846 A CN106923846 A CN 106923846A CN 201511030904 A CN201511030904 A CN 201511030904A CN 106923846 A CN106923846 A CN 106923846A
Authority
CN
China
Prior art keywords
pressure
psychological
data
classification
psychological pressure
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201511030904.XA
Other languages
Chinese (zh)
Other versions
CN106923846B (en
Inventor
吴万庆
吴丹
张贺晔
李春月
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Institute of Advanced Technology of CAS
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN201511030904.XA priority Critical patent/CN106923846B/en
Publication of CN106923846A publication Critical patent/CN106923846A/en
Application granted granted Critical
Publication of CN106923846B publication Critical patent/CN106923846B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Psychiatry (AREA)
  • Public Health (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Child & Adolescent Psychology (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The present invention is applied to healthy control technology field, there is provided a kind of psychological pressure assessment and reponse system, methods described include:The sample data of physiological data acquisition equipment and the collection of physiological data acquisition terminal is received, sample data is specially the characteristic matrix built including physiological characteristic data, psychological characteristics data;Entry evaluation is carried out to physiological characteristic data, psychological characteristics data with FCM Algorithms and Ordered Weighted arithmetic average operator respectively, respective Classification and Identification result is obtained;Whether benign secondary classification is carried out to the Classification and Identification result that wherein there is psychological pressure according to Decision-level fusion model, output has the secondary classification result of psychological pressure;It is input into as statistical model using secondary classification result, according to the Cylinder pressure quantization functions based on pressure system theoretical model, obtains individual mind pressure quantized value.The present invention, realizes the graded quantitative assessment to psychological pressure.

Description

A kind of psychological pressure assessment and reponse system
Technical field
The invention belongs to healthy control technology field, more particularly to a kind of assessment of psychological pressure and reponse system.
Background technology
Psychosomatic medicine (Psychosomatic Medicine) is to study the edge medical science of the multidisciplinary boundary of correlation during many factors such as biology, psychology and sociology influence human health and disease development, promotes people more comprehensively, more profoundly to go to recognize the essence of life, health and disease.Psychosomatic disease is one group of physical disease relevant with stress, and the pathophysiological process of performance or determination with organic disease, psychosocial factor plays an important roll in generation, development, treatment and the prognosis of disease.According to the investigation of some developed countries, in general hospital out-patient, slightly above 1/3 is physical disease, less than 1/3 is neurosis, remaining 1/3 is psychosomatic disease, academia thinks that clinically psychosomatic disease should be carried out many-sided, multi-level, multi dimensional analysis in terms of body, psychology and related social factor etc., to make two-way diagnosis, assessment and the intervention of " organic disease " and psychosocial " maladjustment " of biological body.
Existing Chinese patent CN103211603A provides a kind of psychological pressure detecting and tracking reponse system, and the system includes signal picker, for gathering electrocardiosignal during human body reception training;Signal adapter, for the physiological signal of collection to be converted into data signal;Processor, for converting digital signals into coordination value, is stored in memory, through comparing, calculating, by result output to display;Display, for display HRV curves and data in real time, and for showing training system, its detection method and feedback training are relatively simple, and assessment result is more rough.
Existing psychological pressure inspection reponse system is evaluated referring only to physiology monitor data, it is impossible to reach subjective and objective combination, and multi-level quantification is gone assessment psychological pressure and then fed back.
The content of the invention
The embodiment of the invention provides a kind of psychological pressure assessment and reponse system, aim to solve the problem that prior art is evaluated referring only to physiology monitor data, subjective and objective combination can not be reached, multi-level quantification is gone to assess psychological pressure and then carries out the problem of effective feedback.
A kind of psychological pressure assessment and reponse system are provided, the system includes:Physiological data acquisition equipment, physiological data acquisition terminal, pressure data treatment end and pressure feedback terminal, the physiological data acquisition equipment, physiological data acquisition terminal process end and are communicated by wirelessly or non-wirelessly network and the pressure data respectively, the pressure data treatment end is communicated by wirelessly or non-wirelessly network with the pressure feedback terminal, wherein
The physiological data acquisition equipment is used to gather physiological characteristic data, and the physiological characteristic data includes:Electrocardiosignal and its characteristic value and breath signal and its characteristic value, the electrocardiosignal and its characteristic value include being based on electrocardiographic wave feature, heart rate rhythm pattern feature and heart rate variability feature;The breath signal and its characteristic value include breath rhythm pattern feature, breathing statistical nature and respiratory waveform feature;
The physiological data acquisition terminal is used to gather psychological characteristics data, and the psychological characteristics data include:Autonomous Research advancement on measuring scale feature and social action evaluation and test scale feature, the autonomous Research advancement on measuring scale feature include that individual information, thinking ability, emotional health, personality are complete;The social action evaluation and test scale feature includes environment adaptation, habits and customs and human communication;
The pressure data treatment end includes:
Data receipt unit, the sample data for receiving physiological data acquisition equipment and the collection of physiological data acquisition terminal;
First-level class unit, for the physiological characteristic data, psychological characteristics data to be carried out with entry evaluation with FCM Algorithms and Ordered Weighted arithmetic average operator respectively, obtains respective Classification and Identification result;
Secondary classification unit, for carrying out whether benign secondary classification to the Classification and Identification result that wherein there is psychological pressure according to Decision-level fusion model, there is the secondary classification result of psychological pressure in output;
Pressure quantifying unit, for being input into as statistical model using the secondary classification result, according to the Cylinder pressure quantization functions based on pressure system theoretical model, obtains individual mind pressure quantized value.
Further, the Classification and Identification result includes health status, moderate psychological pressure and severe psychological pressure, the Classification and Identification result that there is psychological pressure specially moderate psychological pressure and severe psychological pressure, whether the secondary classification unit according to Decision-level fusion model specifically for judging the Classification and Identification result with moderate psychological pressure and severe psychological pressure as eustress, if eustress, then current class recognition result classifies as pressure-less state i.e. health status, if not eustress, then current class recognition result classifies as the secondary classification result that there is psychological pressure.
Further, the pressure data treatment end also includes:
Pressure judging unit, for judging the individual mind pressure quantized value whether more than pre-set threshold value;
Pressure feedback unit, if being more than pre-set threshold value for the individual mind pressure quantized value, there is psychological pressure information to pressure feedback terminal, carry out pressure feedback training in transmission;
Further, the pressure feedback terminal be used to receiving it is described there is psychological pressure information and carry out physiology intervention to physiological characteristic data respectively, and psychological intervention is carried out to psychological characteristics data.
Further, Cylinder pressure quantization function F (t) is specially:
Wherein, the ρ is the density of liquid, is also irritability classification or pressure Producing reason, and L is the length of bottom, is also individual maximum bearing capacity, and h is the intensity of irritability, is also the intensity of pressure, and the span of h is 1<h<H, t are the time, namely pressure perdurabgility.
The embodiment of the present application includes advantages below:
Using multi-physiological-parameter characteristic value, combine mental scale characteristic value, by subjective and objective combination, positive psychological pressure is excluded, and with reference to fuzzy theory, decision-making level's information fusion model carries out multistage precise classification to psychological pressure, environment adaptation is taken into full account, cognition interaction and the autonomous influencing mechanism evaluated to psychological pressure, set up the Cylinder quantization functions based on pressure system model, so as to realize the graded quantitative assessment to psychological pressure, simultaneously, realize that psychological pressure assessment is merged with the height of personalized biological feedback interventions, facilitating pressure crowd carries out body and mind regulation.
Brief description of the drawings
Fig. 1 is the concrete structure block diagram of the psychological pressure assessment that the embodiment of the present invention one is provided and reponse system;
Fig. 2 is the concrete structure block diagram that the pressure data that the embodiment of the present invention one is provided processes end;
Fig. 3 is that the Cylinder pressure that the embodiment of the present invention one is provided quantifies model schematic;
Fig. 4 is the Cylinder cylinder spaces illustraton of model and Mathematical Modeling figure that the embodiment of the present invention one is provided.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with drawings and Examples, the present invention will be described in further detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Realization of the invention is described in detail below in conjunction with specific embodiment:
Embodiment one
Fig. 1 shows that the psychological pressure that the embodiment of the present invention one is provided assesses the concrete structure block diagram with reponse system, for convenience of description, illustrate only the part related to the embodiment of the present invention.In the present embodiment, the psychological pressure is assessed includes physiological data acquisition equipment 1, physiological data acquisition terminal 2, pressure data treatment end 3 and pressure feedback terminal 4 with reponse system, the physiological data acquisition equipment 1, physiological data acquisition terminal 2 process end 3 and are communicated by wirelessly or non-wirelessly network and the pressure data respectively, the pressure data treatment end 3 is communicated by wirelessly or non-wirelessly network with the pressure feedback terminal 4, wherein
The physiological data acquisition equipment 1 is used to gather physiological characteristic data, and the physiological characteristic data includes:Electrocardiosignal and its characteristic value and breath signal and its characteristic value, the electrocardiosignal and its characteristic value include being based on electrocardiographic wave feature, heart rate rhythm pattern feature and heart rate variability feature;The breath signal and its characteristic value include breath rhythm pattern feature, breathing statistical nature and respiratory waveform feature;
The physiological data acquisition terminal 2 is used to gather psychological characteristics data, and the psychological characteristics data include:Autonomous Research advancement on measuring scale feature and social action evaluation and test scale feature, the autonomous Research advancement on measuring scale feature include that individual information, thinking ability, emotional health, personality are complete;The social action evaluation and test scale feature includes environment adaptation, habits and customs and human communication;
Wherein, the pressure data treatment end 3 shown in Fig. 2 includes:
Data receipt unit 31, the sample data for receiving physiological data acquisition equipment and the collection of physiological data acquisition terminal;
First-level class unit 32, for the physiological characteristic data, psychological characteristics data to be carried out with entry evaluation with FCM Algorithms and Ordered Weighted arithmetic average operator respectively, obtains respective Classification and Identification result.
In the present embodiment, the Classification and Identification result includes health status, moderate psychological pressure and severe psychological pressure, wherein, the Classification and Identification result that there is psychological pressure specially moderate psychological pressure and severe psychological pressure.With health status, moderate psychological pressure and severe psychological pressure it is three cluster centres in below illustrating, FCM Algorithms are a kind of very effective fuzzy clustering algorithms, specifically, assuming that the collection of psychological pressure status level to be sorted is combined into:Collection is combined into the set of finite data i.e. physiological characteristic data and psychological characteristics data, and element x is d dimensional vectors, searches out a fuzzy partition matrix (uij)c × nAnd c cluster centre point V={ v1,v2,...,vcCause object function:
Meet:
Wherein m ∈ [1 ,+∞] are referred to as FUZZY WEIGHTED coefficient, uijReferred to as degree of membership, xjRepresent that vector is under the jurisdiction of the degree of central point, d (xj, vi) and it is object function xjWith the Euclidean distance of vi.
Because there are many factors in the formation of psychological pressure:Psychology, physiological, social, environment factor etc., the influence power that these factors are formed to psychological pressure, development is applied varies with each individual, possess obvious subjectivity and individual difference, there are many unreasonable situations in the cluster result obtained only by FCM Algorithms, if environmental difference, social status difference, health difference are different to the patience of psychological pressure, therefore by building Induced ordered weighted averaging operator, the unreasonable situation formed by individual difference is reduced as far as possible.
In addition, be may be defined as the Ordered Weighted arithmetic average operator OWA of psychological characteristics data:
If function OWA:Rn→ R, if:
Wherein w=(w1,w2,...,wn)TIt is the associated weight vectors of and function OWA, wherein, correlation analysis are carried out with clinical report result to the psychological characteristics data chosen by clinic, different weights are assigned to the psychology physiological value chosen according to significance, meet:And bjIt is data group (a1,a2,...,an) in the big element of jth, R is set of real numbers.
Its advantage is:To psychology and physiological characteristic magnitude data (a1,a2,...,an) re-started by order from big to small and sort and assembled by weighting, due to value aiWith weight wjThere is no any contact, it is only relevant with the value position in assembling process, therefore Ordered Weighted arithmetic average operator can be utilized to the psychology physiological characteristic vector x of individual of samplei(i=1,2,3 ...) assembled, try to achieve its synthesized attribute value Zi(w), by ZiW () size is ranked up to scheme and preferentially, can preferably eliminate due to the individual difference that many factors such as environment, social status are caused.
Secondary classification unit 33, for carrying out whether benign secondary classification to the Classification and Identification result that wherein there is psychological pressure according to Decision-level fusion model, there is the secondary classification result of psychological pressure in output.
In the present embodiment, the Classification and Identification result that there is psychological pressure specially moderate psychological pressure and severe psychological pressure, described that whether benign secondary classification is carried out to the Classification and Identification result that wherein there is psychological pressure according to Decision-level fusion model, the secondary classification result that output has psychological pressure is specially:
Judge the Classification and Identification result with moderate psychological pressure and severe psychological pressure whether as eustress according to Decision-level fusion model, if eustress, then current class recognition result classifies as pressure-less state i.e. health status, if not eustress, then current class recognition result classifies as the secondary classification result that there is psychological pressure.
Wherein, psychological pressure is regarded as positive i.e. eustress to a certain extent, can strengthen the alertness and productivity of people, especially when wake-up degree is optimal level.However, this has certain limit, once exceeding this limit, a series of serious problems, or even the symptom that also can result in direct threat to life will be brought for individuality.Preliminary classifications of the step S102 to psychological pressure, can recognize that health, three kinds of states of moderate psychological pressure and severe psychological pressure, but, whether benign to psychological pressure cannot assess, therefore this step alignment degree and severe psychological pressure state carry out secondary classification, the Decision-level fusion model based on D-S evidence theory will be built is used for secondary classification, its advantage is that the physical relation between Multiple Information Sources need not accurately be understood, the characteristic processing and recognition methods for being suitable for variety classes information source can be respectively adopted, only need to for the result of Classification and Identification to be applied to Fusion Model, the Fusion Model of foundation is independently of all kinds of specifying informations, with general applicability.
Specifically, the characteristics of according to based on Basic probability assignment function mass, uncertain inference is carried out in D-S evidence theory, building fusion function, final fusion results are obtained.Assuming that there is two classes target to be identified in emerging system, three class local decisions processes, different information sources represents different evidence bodies, using the identification of psychological pressure state as goal in research, then psychological pressure identification framework is expressed as { Pr1, Pr2 }, wherein Pr1 indicates psychological pressure state, and Pr2 is indicated without psychological pressure state.Assuming that C is an identification space, all subsets are 2C, then m:2C → [0,1], the characteristic value of condition is met according to the size allocation probability with psychological pressure correlation in referred to as one basic probability assignment, as identification space, and the probability of appointment needs to meet condition:
In formula, m (A) represents the Basic Probability As-signment of each psychological characteristics data.Belief function for identification target A (whether having pressure) is expressed as Bel (A), is the lower limit function to recognizing the trusting degree of target, and belief function is shown below with the relation of Basic Probability As-signment:
The likelihood function of identification target A is expressed as Pls (A), be to identification target A be the trusting degree for having pressure state upper limit function, on the basis of foundation is vacation without psychological pressure state in the target for thinking to be opposed with A in recognizing space, the computational methods of Pls (A) are shown below;
The uncertainty of identification target A is made up of likelihood function Pls (A) and belief function Bel (A), that is, it is have the probability of pressure and trust the difference that A is genuine probability to trust target A, is expressed as m (Δ) and is shown below:
M (Δ)=Pls (A)-Bel (A)
When there is multiple evidence bodies, the probability for recognizing target is assigned and is combined according to certain rule of combination by multiple evidence bodies, is exactly the main body of fusion process.Multiple evidence bodies are carried out with fusion acquisition to be shown below the belief function of A:
In formula, K represents the conflict spectrum between evidence body, tolerance i.e. to psychological pressure is inconsistent, physiological characteristic produces change, and psychological characteristics does not produce change, when K value closer to 1 when, conflict between evidence body is bigger, repel completely between representing evidence body when K is equal to or more than 1, so the conflict spectrum value K between evidence body was calculated before fusion, only when the value of K is in the range of (0,1), when i.e. psychology physiological feature shows homogeneous response to psychological pressure, related evidence body can just be merged.The computational methods of K are shown below:
Only two identification targets, that is, have psychological pressure and without psychological pressure in the identification space of the present embodiment, so likelihood function Pls (A) and belief function Bel (A) are identicals, uncertain probability is zero.So, Bel (A) just becomes the most important reference of psychological pressure state and judgement standard.Decision-making to psychological pressure assessment result should be according to following rule:
The target identification state belief function value of conclusive judgement is maximum in all target belief function values;
The target identification state belief function value of conclusive judgement meets Bel (Fi) > 0.5, and it is at least 2 times of other target belief function values.
Pressure quantifying unit 34, for being input into as statistical model using the secondary classification result, according to the Cylinder pressure quantization functions based on pressure system theoretical model, obtains individual mind pressure quantized value.
In the present embodiment, the pressure system theoretical model is as shown in Figure 3, Cylinder theoretical models are by inherent and external environment condition irritability as pressure " liquid ", the height of liquid represents the intensity of irritability in cylinder, the hydraulic pressure that cross bar bears reflects individual current stress level, the width of cylinder corresponds to the ability of individual processing pressure, the density of " liquid " reflect inside and out irritability closeness, chronic pressure will cause in cylinder the increase of " liquid " height, so as to the pressure for causing cross bar to bear increases.When the height of liquid reaches threshold level, individual may feel that obvious pressure, and when height reaches the limit of level, meeting major injury body and psychology function can induce an illness and even result in death.Different excitation factors is divided into the triggering factor and relief factor, the triggering factor raises " liquid " height, relief factor reduction " liquid height ", therefore, the influence of the triggering factor can be just reduced by applying appropriate intervention means, strengthen the function of relief factor, so as to reach the purpose of release pressure.
According to above-mentioned Cylinder theoretical models, three dimensions and two dimensional surface are mapped that to, as shown in figure 4, carrying out mathematical modeling
F=P × S
Wherein, P represents the weight of liquid, and S represents the area of bottom, and F represents the pressure that bottom is born.
If the length ' L ' of bottom, height ' H ', and liquid density ' ρ ', and weight acceleration ' g ' (time constant), then the function expression of the personal pressure evaluation model set up is as follows:
F (t)=P (t) × S (t)=∫ ∫δρgh(t)dxdy
Cylinder pressure quantization function F (t) is calculated from above formula to be specially:
Wherein, the ρ is the density of liquid, is also irritability classification or pressure Producing reason, and L is the length of bottom, is also individual maximum bearing capacity, and h is the intensity of irritability, is also the intensity of pressure, and the span of h is 1<h<H, t are the time, namely pressure perdurabgility.
Cylinder theoretical models consider physiological, psychological, social and environment combined factors, by the technology of information fusion, the relation of research multi-source information characteristic vector and factor of a model, by constantly optimum experimental and correct, can finally obtain personality mentality Stress appraisal quantizating index.
Further, the Classification and Identification result includes health status, moderate psychological pressure and severe psychological pressure, the Classification and Identification result that there is psychological pressure specially moderate psychological pressure and severe psychological pressure, whether the secondary classification unit 33 according to Decision-level fusion model specifically for judging the Classification and Identification result with moderate psychological pressure and severe psychological pressure as eustress, if eustress, then current class recognition result classifies as pressure-less state i.e. health status, if not eustress, then current class recognition result classifies as the secondary classification result that there is psychological pressure.
Further, the acquisition individual mind pressure quantized value, the Classification and Identification result are that the pressure data treatment end also includes after severe psychological pressure, the current class recognition result classify as the secondary classification result that there is psychological pressure:
Pressure judging unit 35, for judging the individual mind pressure quantized value whether more than pre-set threshold value;
Pressure feedback unit 36, if being more than pre-set threshold value for the individual mind pressure quantized value, there is psychological pressure information to pressure feedback terminal, carry out pressure feedback training in transmission.
Further, the pressure feedback terminal be used to receiving it is described there is psychological pressure information and carry out physiology intervention to physiological characteristic data respectively, and psychological intervention is carried out to psychological characteristics data.
Further, Cylinder pressure quantization function F (t) is specially:
Wherein, the ρ is the density of liquid, is also irritability classification or pressure Producing reason, and L is the length of bottom, is also individual maximum bearing capacity, and h is the intensity of irritability, is also the intensity of pressure, and the span of h is 1<h<H, t are the time, namely pressure perdurabgility.
The present embodiment, using multi-physiological-parameter characteristic value, combine mental scale characteristic value, by subjective and objective combination, positive psychological pressure is excluded, and with reference to fuzzy theory, decision-making level's information fusion model carries out multistage precise classification to psychological pressure, environment adaptation is taken into full account, cognition interaction and the autonomous influencing mechanism evaluated to psychological pressure, set up the Cylinder quantization functions based on pressure system model, so as to realize the graded quantitative assessment to psychological pressure, simultaneously, realize that psychological pressure assessment is merged with the height of personalized biological feedback interventions, facilitating pressure crowd carries out body and mind regulation.
It is worth noting that, in said system embodiment, included unit is to be divided according to function logic, but is not limited to above-mentioned division, as long as corresponding function can be realized;In addition, the specific name of each functional unit is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
Each embodiment in this specification is described by the way of progressive, and what each embodiment was stressed is the difference with other embodiment, between each embodiment identical similar part mutually referring to.
It should be understood by those skilled in the art that, the embodiment of the embodiment of the present application can be provided as method, controller or computer program product.Therefore, the embodiment of the present application can be in the form of the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware.And, the embodiment of the present application can be in the form of the computer program product implemented in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) for wherein include computer usable program code at one or more.
The embodiment of the present application is that reference is described according to the flow chart and/or block diagram of the method, terminal device (system) and computer program product of the embodiment of the present application.It should be understood that the combination of the flow and/or square frame in each flow and/or square frame and flow chart and/or block diagram in can realizing flow chart and/or block diagram by computer program instructions.These computer program instructions can be provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing terminal equipments to produce a machine so that the controller for the function of realizing being specified in one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames is produced by the instruction of the computing device of computer or other programmable data processing terminal equipments.
These computer program instructions may be alternatively stored in guiding the computer-readable memory that computer or other programmable data processing terminal equipments work in a specific way, so that instruction of the storage in the computer-readable memory is produced and include the manufacture of instruction control unit, the instruction control unit realizes the function of being specified in one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing terminal equipments, so that performing series of operation steps on computer or other programmable terminal equipments to produce computer implemented treatment, the step of function for realizing being specified in one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frame is provided is instructed so as to what is performed on computer or other programmable terminal equipments.
Although having been described for the preferred embodiment of the embodiment of the present application, those skilled in the art once know basic creative concept, then other change and modification can be made to these embodiments.So, appended claims are intended to be construed to include preferred embodiment and fall into having altered and changing for the embodiment of the present application scope.
Finally, it can further be stated that, herein, such as first and second or the like relational terms are used merely to make a distinction an entity or operation with another entity or operation, and not necessarily require or imply these entities or there is any this actual relation or order between operating.And, term " including ", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that process, method, article or terminal device including a series of key elements not only include those key elements, but also other key elements including being not expressly set out, or it is this process, method, article or the intrinsic key element of terminal device also to include.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that also there is other identical element in the process including the key element, method, article or terminal device.
A kind of psychological pressure provided herein is assessed and reponse system above, it is described in detail, specific case used herein is set forth to the principle and implementation method of the application, and the explanation of above example is only intended to help and understands the present processes and its core concept;Simultaneously for those of ordinary skill in the art, according to the thought of the application, will change in specific embodiments and applications, in sum, this specification content should not be construed as the limitation to the application.

Claims (5)

1. a kind of psychological pressure is assessed and reponse system, it is characterised in that the system includes:Physiology number According to collecting device, physiological data acquisition terminal, pressure data treatment end and pressure feedback terminal, the physiology Data acquisition equipment, physiological data acquisition terminal are respectively by wirelessly or non-wirelessly network and the pressure data Reason end is communicated, and the pressure data treatment end is by wirelessly or non-wirelessly network and the pressure feedback terminal Communicated, wherein,
The physiological data acquisition equipment is used to gather physiological characteristic data, and the physiological characteristic data includes: Electrocardiosignal and its characteristic value and breath signal and its characteristic value, the electrocardiosignal and its characteristic value include base In electrocardiographic wave feature, heart rate rhythm pattern feature and heart rate variability feature;The breath signal and its Characteristic value includes breath rhythm pattern feature, breathing statistical nature and respiratory waveform feature;
The physiological data acquisition terminal is used to gather psychological characteristics data, and the psychological characteristics data include: Autonomous Research advancement on measuring scale feature and social action evaluation and test scale feature, the autonomous Research advancement on measuring scale feature include individuality Information, thinking ability, emotional health, personality are complete;The social action evaluation and test scale feature includes environment Adaptation, habits and customs and human communication;
The pressure data treatment end includes:
Data receipt unit, the sample for receiving physiological data acquisition equipment and the collection of physiological data acquisition terminal Notebook data;
First-level class unit, for respectively with FCM Algorithms and Ordered Weighted arithmetic average operator to institute Stating physiological characteristic data, psychological characteristics data carries out entry evaluation, obtains respective Classification and Identification result;
Secondary classification unit, for the classification according to Decision-level fusion model to wherein there is psychological pressure Recognition result carries out whether benign secondary classification, and output has the secondary classification result of psychological pressure;
Pressure quantifying unit, for being input into as statistical model using the secondary classification result, according to based on pressure The Cylinder pressure quantization functions of Force system theoretical model, obtain individual mind pressure quantized value.
2. psychological pressure is assessed and reponse system according to claim 1, it is characterised in that the classification Recognition result includes health status, moderate psychological pressure and severe psychological pressure, described to there is psychological pressure The Classification and Identification result is specially moderate psychological pressure and severe psychological pressure, the secondary classification unit tool Body is used to judge the Classification and Identification knot with moderate psychological pressure and severe psychological pressure according to Decision-level fusion model Whether fruit is eustress, if eustress, then current class recognition result classifies as pressure-less state That is health status, if not eustress, then current class recognition result is classified as and there is psychological pressure Secondary classification result.
3. psychological pressure is assessed and reponse system according to claim 1, it is characterised in that the pressure Data processing end also includes:
Pressure judging unit, for judging the individual mind pressure quantized value whether more than pre-set threshold value;
Pressure feedback unit, if being more than pre-set threshold value for the individual mind pressure quantized value, transmission is deposited In psychological pressure information to pressure feedback terminal, pressure feedback training is carried out.
4. psychological pressure is assessed and reponse system according to claim 1, it is characterised in that the pressure Feedback terminal be used to receiving it is described there is psychological pressure information physiology intervention carried out to physiological characteristic data respectively, Psychological intervention is carried out with to psychological characteristics data.
5. psychological pressure is assessed and reponse system according to claim 1, it is characterised in that described Cylinder pressure quantization function F (t) is specially:
F ( t ) = &rho; L 2 h 2 ( t )
Wherein, the ρ is the density of liquid, is also irritability classification or pressure Producing reason, and L is bottom Length, be also individual maximum bearing capacity, h is the intensity of irritability, is also the intensity of pressure, the value of h Scope is 1<h<H, t are the time, namely pressure perdurabgility.
CN201511030904.XA 2015-12-31 2015-12-31 Psychological stress assessment and feedback system Active CN106923846B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201511030904.XA CN106923846B (en) 2015-12-31 2015-12-31 Psychological stress assessment and feedback system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201511030904.XA CN106923846B (en) 2015-12-31 2015-12-31 Psychological stress assessment and feedback system

Publications (2)

Publication Number Publication Date
CN106923846A true CN106923846A (en) 2017-07-07
CN106923846B CN106923846B (en) 2021-01-19

Family

ID=59444133

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201511030904.XA Active CN106923846B (en) 2015-12-31 2015-12-31 Psychological stress assessment and feedback system

Country Status (1)

Country Link
CN (1) CN106923846B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108618788A (en) * 2017-11-29 2018-10-09 淄博职业学院 A kind of psychological pressure apparatus for evaluating and psychological pressure appraisal procedure
CN109166627A (en) * 2018-07-26 2019-01-08 苏州中科先进技术研究院有限公司 A kind of health evaluating method, assessment device and the system for rehabilitation
CN109223005A (en) * 2018-10-19 2019-01-18 内江天海科技有限公司 A kind of psychological condition remote diagnosis system
CN109276241A (en) * 2018-11-28 2019-01-29 深圳还是威健康科技有限公司 A kind of Pressure identification method and apparatus
CN109685156A (en) * 2018-12-30 2019-04-26 浙江新铭智能科技有限公司 A kind of acquisition methods of the classifier of mood for identification
CN109758141A (en) * 2019-03-06 2019-05-17 清华大学 A kind of psychological pressure monitoring method, apparatus and system
CN110025321A (en) * 2019-03-20 2019-07-19 华为技术有限公司 A kind of psychological pressure appraisal procedure and relevant device
WO2019191864A1 (en) * 2018-04-02 2019-10-10 华为技术有限公司 Method and device for determining pressure value
CN110477932A (en) * 2019-07-31 2019-11-22 商丘师范学院 A kind of students psychology Stress appraisal method and system based on internet and cloud computing
CN110507297A (en) * 2019-08-30 2019-11-29 深圳市汇健医疗工程有限公司 Surgicenter wisdom surgical intervention platform based on 5G network
CN111341416A (en) * 2018-12-18 2020-06-26 华为技术有限公司 Psychological stress assessment model processing method and related equipment
CN112022172A (en) * 2020-09-03 2020-12-04 北京中科心研科技有限公司 Pressure detection method and device based on multi-modal physiological data
CN112331307A (en) * 2020-11-04 2021-02-05 苏州中科先进技术研究院有限公司 Intelligent psychological consultation method, system, terminal and storage medium based on AI
CN112966905A (en) * 2021-02-04 2021-06-15 上海应用技术大学 Method and system for assessing pressure risk of workplace
CN113974626A (en) * 2017-08-24 2022-01-28 华为技术有限公司 Psychological stress assessment method and equipment
CN114469092A (en) * 2022-03-08 2022-05-13 北京中科心研科技有限公司 Method for identifying psychological pressure, bracelet and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6102846A (en) * 1998-02-26 2000-08-15 Eastman Kodak Company System and method of managing a psychological state of an individual using images
US20070185391A1 (en) * 2005-12-22 2007-08-09 Morgan Timothy M Home diagnostic system
CN103211603A (en) * 2013-03-19 2013-07-24 江苏智诠传媒科技有限公司 Mental stress detecting, tracking and feedback system
CN103584872A (en) * 2013-10-29 2014-02-19 燕山大学 Psychological stress assessment method based on multi-physiological-parameter integration
CN104490407A (en) * 2014-12-08 2015-04-08 清华大学 Wearable mental stress evaluating device and method
CN104856704A (en) * 2015-03-31 2015-08-26 鲍崇智 Method and system for objective-subjective combined psychological assessment
CN104970811A (en) * 2015-06-18 2015-10-14 苏州安莱光电科技有限公司 Psychological pressure parameter monitoring system and method
CN104983434A (en) * 2015-06-17 2015-10-21 重庆邮电大学 Multi-parameter mental stress assessment method based on analytical hierarchy method and device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6102846A (en) * 1998-02-26 2000-08-15 Eastman Kodak Company System and method of managing a psychological state of an individual using images
US20070185391A1 (en) * 2005-12-22 2007-08-09 Morgan Timothy M Home diagnostic system
CN103211603A (en) * 2013-03-19 2013-07-24 江苏智诠传媒科技有限公司 Mental stress detecting, tracking and feedback system
CN103584872A (en) * 2013-10-29 2014-02-19 燕山大学 Psychological stress assessment method based on multi-physiological-parameter integration
CN104490407A (en) * 2014-12-08 2015-04-08 清华大学 Wearable mental stress evaluating device and method
CN104856704A (en) * 2015-03-31 2015-08-26 鲍崇智 Method and system for objective-subjective combined psychological assessment
CN104983434A (en) * 2015-06-17 2015-10-21 重庆邮电大学 Multi-parameter mental stress assessment method based on analytical hierarchy method and device
CN104970811A (en) * 2015-06-18 2015-10-14 苏州安莱光电科技有限公司 Psychological pressure parameter monitoring system and method

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113974626B (en) * 2017-08-24 2023-03-10 华为技术有限公司 Psychological stress assessment method and equipment
CN113974626A (en) * 2017-08-24 2022-01-28 华为技术有限公司 Psychological stress assessment method and equipment
CN108618788A (en) * 2017-11-29 2018-10-09 淄博职业学院 A kind of psychological pressure apparatus for evaluating and psychological pressure appraisal procedure
WO2019191864A1 (en) * 2018-04-02 2019-10-10 华为技术有限公司 Method and device for determining pressure value
CN109166627A (en) * 2018-07-26 2019-01-08 苏州中科先进技术研究院有限公司 A kind of health evaluating method, assessment device and the system for rehabilitation
CN109223005A (en) * 2018-10-19 2019-01-18 内江天海科技有限公司 A kind of psychological condition remote diagnosis system
CN109276241A (en) * 2018-11-28 2019-01-29 深圳还是威健康科技有限公司 A kind of Pressure identification method and apparatus
CN109276241B (en) * 2018-11-28 2022-08-09 深圳市元征科技股份有限公司 Pressure identification method and equipment
CN111341416A (en) * 2018-12-18 2020-06-26 华为技术有限公司 Psychological stress assessment model processing method and related equipment
CN111341416B (en) * 2018-12-18 2023-09-29 华为技术有限公司 Psychological stress assessment model processing method and related equipment
CN109685156B (en) * 2018-12-30 2021-11-05 杭州灿八科技有限公司 Method for acquiring classifier for recognizing emotion
CN109685156A (en) * 2018-12-30 2019-04-26 浙江新铭智能科技有限公司 A kind of acquisition methods of the classifier of mood for identification
CN109758141A (en) * 2019-03-06 2019-05-17 清华大学 A kind of psychological pressure monitoring method, apparatus and system
CN110025321B (en) * 2019-03-20 2021-08-31 华为技术有限公司 Psychological stress assessment method and related equipment
CN110025321A (en) * 2019-03-20 2019-07-19 华为技术有限公司 A kind of psychological pressure appraisal procedure and relevant device
CN110477932A (en) * 2019-07-31 2019-11-22 商丘师范学院 A kind of students psychology Stress appraisal method and system based on internet and cloud computing
CN110477932B (en) * 2019-07-31 2022-04-15 商丘师范学院 Student psychological stress assessment method and system based on Internet and cloud computing
CN110507297A (en) * 2019-08-30 2019-11-29 深圳市汇健医疗工程有限公司 Surgicenter wisdom surgical intervention platform based on 5G network
CN112022172A (en) * 2020-09-03 2020-12-04 北京中科心研科技有限公司 Pressure detection method and device based on multi-modal physiological data
CN112331307A (en) * 2020-11-04 2021-02-05 苏州中科先进技术研究院有限公司 Intelligent psychological consultation method, system, terminal and storage medium based on AI
CN112966905A (en) * 2021-02-04 2021-06-15 上海应用技术大学 Method and system for assessing pressure risk of workplace
CN114469092A (en) * 2022-03-08 2022-05-13 北京中科心研科技有限公司 Method for identifying psychological pressure, bracelet and system

Also Published As

Publication number Publication date
CN106923846B (en) 2021-01-19

Similar Documents

Publication Publication Date Title
CN106923846A (en) A kind of psychological pressure assessment and reponse system
CN106934199A (en) A kind of psychological pressure appraisal procedure and device
Li et al. Research on orthopedic auxiliary classification and prediction model based on XGBoost algorithm
Peker et al. Computer-aided diagnosis of Parkinson's disease using complex-valued neural networks and mRMR feature selection algorithm
Chitra et al. Review of heart disease prediction system using data mining and hybrid intelligent techniques
Bashir et al. Heterogeneous classifiers fusion for dynamic breast cancer diagnosis using weighted vote based ensemble
Khalid et al. Machine learning hybrid model for the prediction of chronic kidney disease
Moustakidis et al. Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective
Moustakidis et al. Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness
Ghosh An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
Hamidzadeh et al. Identification of uncertainty and decision boundary for SVM classification training using belief function
Reddy et al. Prediction of heart disease using decision tree approach
Mamun et al. Mlheartdis: Can machine learning techniques enable to predict heart diseases?
Joloudari et al. FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model
Sharma et al. Comparison of machine learning techniques in the diagnosis of erythematous squamous disease
Marcano-Cedeño et al. Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients
Choudhary et al. Glaucoma detection using cross validation algorithm
Ahmed et al. Improving prediction of plant disease using k-efficient clustering and classification algorithms
Das et al. Uncertainity management of health attributes for primary diagnosis
Huang et al. Implementation of classifiers for choosing insurance policy using decision trees: A case study
Anoop et al. Prediction of Schizophrenia in Patients Using Fuzzy AHP and TOPSIS Methods
Bülbül Performance of different membership functions in stress classification with fuzzy logic
Seng et al. Handgrip strength evaluation using neuro fuzzy approach
Mohan et al. Techniques of Machine Learning for Detecting Heart Failure
Meda et al. An Efficient and Scalable Heart Disease Diagnosis System with Attribute Impact Based Weights and Genetic Correlation Analysis.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant