CN115588484A - Depression tendency recognition system based on time pressure mathematics subject task - Google Patents
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
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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
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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
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0531—Measuring skin impedance
- A61B5/0533—Measuring galvanic skin response
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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
- A61B5/16—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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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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
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
Abstract
The invention discloses a depression tendency identification system based on time pressure mathematic problem tasks, wherein low-difficulty mathematic problems, medium-difficulty mathematic problems and high-difficulty mathematic problems are stored in a mathematic problem task bank in the system; the pressure answering module extracts a set number of mathematic questions and sets answering time for enabling the subject to generate answering pressure; the physiological data acquisition equipment acquires a pre-measured resting state average pulse wave signal of a testee, a pressure state average pulse wave signal when a mathematical answer task is executed and a post-measured resting state average pulse wave signal after the mathematical answer task is finished; according to average pulse wave signals in the former rest state, the pressure state and the latter rest state, the identification algorithm module draws corresponding pulse wave signal coordinate points in the three states, and judges the depression tendency of the testee according to the broken line shape surrounded by the broken line. The invention adopts the induced time pressure, and objectively judges whether the subject has a depression tendency by detecting the peripheral physiological data before, during and after the task is executed.
Description
Technical Field
The invention relates to the technical field of depression recognition, in particular to a depression tendency recognition system based on a time pressure mathematic problem task.
Background
Major depressive disorder, often referred to as depression. At present, the diagnosis means of the depression still depends on clinical observation, the diagnosis mostly depends on the subjective standard of doctors, and the biological objective standard is lacked. Peripheral physiological data (pulse waves, skin electricity and other signals) can reflect the change of the activity of the sympathetic nervous system and the parasympathetic nervous system, so that the peripheral physiological data has good potential for identifying depression under a specific task. The core symptoms of the depressive disorder are anhedonia, fatigue is easy, insomnia, circadian rhythm is poor, external things are not cared, and the like, so that the change of the physiological system can be reflected, namely the activity function of the nervous system is weakened, how to objectively and quickly identify the depressive-tendency patients in the crowd to form a standardized depressive-tendency identification system, the depressive-tendency patients meet the requirements of the crowd with various abilities, and the subjective factor influence generated by the experience of clinicians and the evaluation result of a questionnaire table is avoided.
Disclosure of Invention
In order to solve the technical problems, the invention provides a depression tendency identification system based on a time pressure mathematic task, which is used for objectively judging whether a subject has a depression tendency by inducing the change of peripheral physiological data of the subject caused by time pressure by an inducing task and detecting the peripheral physiological data before, during and after the task.
The adopted technical scheme is as follows:
a depression tendency recognition system based on time pressure mathematic question tasks comprises physiological data acquisition equipment, a mathematic question task library, a pressure answer module and a recognition algorithm module, wherein the mathematic question task library, the pressure answer module and the recognition algorithm module are operated on a computer terminal, and the depression tendency recognition system comprises:
the mathematical problem task library stores low-difficulty mathematical problems, medium-difficulty mathematical problems and high-difficulty mathematical problems;
the pressure answering module extracts a set number of mathematical questions from the mathematical question task library and sets answering time for enabling the subject to generate answering pressure according to the calculation capacity of the subject;
the physiological data acquisition equipment is used for acquiring a front-measuring resting state average pulse wave signal before a subject performs a mathematical answer task, a pressure state average pulse wave signal when the mathematical answer task is performed and a rear-measuring resting state average pulse wave signal after the mathematical answer task is completed;
and the identification algorithm module is used for drawing a plane rectangular coordinate system of the relation between the acquisition time and the pulse wave signals according to the pre-measured resting state average pulse wave signals, the pressure state average pulse wave signals and the post-measured resting state average pulse wave signals, marking corresponding pulse wave signal coordinate points in the three states in the plane rectangular coordinate system, sequentially connecting the corresponding pulse wave signal coordinate points in the three states, and judging the depression tendency of the testee according to the encircled broken line shape.
The pressure answering module comprises:
the practice answer module extracts a set number of low-difficulty mathematical questions, medium-difficulty mathematical questions and high-difficulty mathematical questions from the mathematical question task library, and subjects practice answer tasks on the mathematical questions with different difficulties under the condition of no time pressure;
the test pressure setting module is used for automatically setting the mathematical question difficulty and the answer time of the subject in the test stage of the mathematical answer task according to the answer time and the answer accuracy of the subject in the exercise stage of the answer task;
the test answering module extracts a set number of mathematic questions with corresponding difficulty from the mathematic question task library, and the test of the mathematic question answering task is carried out by the testee under the given time pressure for answering the questions;
the timing module is used for respectively recording the answering time of a subject in the answering task practice stage and the answering task test stage and respectively calculating the average answering time of low-difficulty mathematical questions, medium-difficulty mathematical questions and high-difficulty mathematical questions in the answering task practice stage;
and the accuracy rate counting module is used for counting the answer accuracy rate of the subject in the answer task practice stage and the answer task test stage.
Furthermore, the test answer module is configured with multiple levels of difficulty of barrier violation test tasks, and the test pressure setting module sets corresponding barrier answer times for each level of difficulty of the barrier violation test tasks; when the testee meets the set conditions of correct answer rate and pass-through answer time and finishes the pass-through test task of the current difficulty level, the testee enters the pass-through test task of the next difficulty level to carry out the mathematical answer task test, otherwise, the pass-through test task of the current difficulty level is repeated until the set total use of the mathematical answer task test stage is finished, and the mathematical answer task test is finished.
Furthermore, the test answering module is provided with nine barrier violation test tasks with difficulty levels, the subject starts to execute from the test task with low difficulty level, if the subject answers three questions continuously, the timing module reduces the subsequent mathematical answering time by 1-3 seconds per question, and if the subject answers three questions continuously, the timing module increases the subsequent mathematical answering time by 1-3 seconds per question.
Preferably, the nine types of level-of-difficulty breakthrough checkpoint testing tasks include: the low-difficulty low-pressure mathematical answer task, the low-difficulty medium-pressure mathematical answer task, the low-difficulty high-pressure mathematical answer task, the medium-difficulty low-pressure mathematical answer task, the medium-difficulty medium-pressure mathematical answer task, the medium-difficulty high-pressure mathematical answer task, the high-difficulty low-pressure mathematical answer task, the high-difficulty medium-pressure mathematical answer task and the high-difficulty high-pressure mathematical answer task are sequentially performed, wherein the low pressure under the three-difficulty mathematical answer tasks is 90% of the average time consumption of the same-difficulty mathematical answer exercise tasks corresponding to the non-time pressure, the medium pressure is 70% of the average time consumption of the same-difficulty mathematical answer exercise tasks corresponding to the non-time pressure, and the high pressure is 50% of the average time consumption of the same-difficulty mathematical answer exercise tasks corresponding to the non-time pressure.
Preferably, the low-difficulty mathematic problem is a calculation problem of direct integer addition and integer subtraction; the middle difficulty mathematic problem is a calculation problem of dislocation integer plus integer minus; the high-difficulty degree mathematical questions are calculation questions that the borrowing can not be added with the integer and subtracted.
Furthermore, the physiological data acquisition equipment is also used for acquiring a pre-measured resting state average skin electric signal of the subject before the mathematical answer task is executed, a pressure state average skin electric signal when the mathematical answer task is executed and a post-measured resting state average skin electric signal after the mathematical answer task is completed; the identification algorithm module draws a planar rectangular coordinate system of the relation between the acquisition time and the skin electric signal according to the former measured resting state average skin electric signal, the pressure state average skin electric signal and the latter measured resting state average skin electric signal, marks corresponding skin electric signal coordinate points in the three states in the planar rectangular coordinate system, sequentially connects the corresponding skin electric signal coordinate points and the corresponding pulse wave signal coordinate points in the three states, and judges the depression tendency of the subject according to the skin electric broken line shape and the pulse wave broken line shape which are surrounded.
Preferably, the method for judging the depression tendency of the subject by the identification algorithm module is as follows: when the skin electric broken line shape is in an inverted V shape and the pulse wave broken line shape is in a positive V shape, judging that the depression of the subject is low risk; when the skin electric broken line shape is not inverted V-shaped and the pulse wave broken line shape is not positive V-shaped, judging that the subject is at high risk of depression; and when the skin electric broken line shape is in a non-inverted V shape and the pulse wave broken line shape is in a positive V shape, or the skin electric broken line shape is in an inverted V shape and the pulse wave broken line shape is in a non-positive V shape, judging the risk in the depression of the subject.
Furthermore, the system is also provided with a voice punishment module for increasing the psychological pressure of the testee, and when the answer of the testee is wrong, the voice punishment module broadcasts the voice stimulating the testee.
Preferably, the physiological data acquisition device is a wearable physiological acquisition bracelet that detects both the pulse wave band energy value HF and the skin electrical level SCL.
The technical scheme of the invention has the following advantages:
A. the invention adopts an active induction task to collect pulse waves or skin electrophysiological signals in the process and further judge the degree of depression by identifying the change degree in physiology, because normal people and depression patients have different reaction modes in the pressure state, an adaptive time pressure mathematical question task is selected for the pressure induction task, the task gives the answer time for each mathematical question through a timing module, and on the premise of definite answer, a simple mathematical question task is carried out, the task is simple and easy to understand, meanwhile, through adaptive design, each person can effectively induce enough pressure, and the depression tendency of a subject is quickly identified according to the physiological change mode in the pressure state.
B. The whole diagnosis process of the system is relatively simple and easy to operate, the depression tendency can be evaluated only in about ten minutes, the task of ensuring that everyone can induce enough pressure is ensured, the pulse wave and the skin electric signal are synchronously acquired on the basis of the task, and the two physiological signals are used as the discrimination standard, so that the detection intensity of screening is increased, and the discrimination accuracy is increased. Meanwhile, due to the real-time property, the objectivity and the sensitivity of objective physiological data, the evaluation results are better than the experience of a clinician and the evaluation results of a questionnaire scale.
Drawings
In order to more clearly illustrate the embodiments of the present invention, the drawings which are needed to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained from the drawings without inventive labor to those skilled in the art.
FIG. 1 is a diagram of the components of a depression tendency recognition system provided by the present invention;
FIG. 2 is a block diagram of a pressure answer module according to the present invention;
FIG. 3 is a flow chart of the system embodiment of the present invention;
FIG. 4 is the results of a test conducted with the system of the present invention on a normal population and a depressed patient population.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a depression tendency identification system based on time-pressure mathematical problem tasks, which comprises a physiological data acquisition device, a mathematical problem task library operated on a computer terminal, a pressure answer module and an identification algorithm module, wherein:
the mathematical problem task library stores low-difficulty mathematical problems, medium-difficulty mathematical problems and high-difficulty mathematical problems;
the pressure answering module extracts a set number of mathematic questions from the mathematic question task library and sets answering time for enabling the subject to generate answering pressure according to the calculation capacity of the subject;
the physiological data acquisition equipment is used for acquiring a front-measuring resting state average pulse wave signal before a subject performs a mathematical answer task, a pressure state average pulse wave signal when the mathematical answer task is performed and a rear-measuring resting state average pulse wave signal after the mathematical answer task is completed;
and the identification algorithm module is used for drawing a plane rectangular coordinate system of the relation between the acquisition time and the pulse wave signals according to the former measured resting state average pulse wave signals, the pressure state average pulse wave signals and the latter measured resting state average pulse wave signals, marking corresponding pulse wave signal coordinate points in the three states in the plane rectangular coordinate system, sequentially connecting the corresponding pulse wave signal coordinate points in the three states, and judging the depression tendency of the testee according to the encircled broken line shape.
The system is used for testing normal people and depressed patients, the shape of the broken line of the pulse wave surrounded by the data signals of the normal people in the rectangular coordinate system in the three states is a positive V shape, and the depressed patients are difficult to obtain the shape of the broken line of the pulse wave in the positive V shape, so that the system can judge whether the testee is a depressed patient according to the shape characteristics of the broken line of the pulse wave in the planar rectangular coordinate system.
The pressure answering module in the invention comprises: the device comprises a practice answer module, a test pressure setting module, a test answer module, a timing module and a correct rate counting module.
The practice answering module extracts a set number of low-difficulty mathematic questions, medium-difficulty mathematic questions and high-difficulty mathematic questions from the mathematic question task library, and subjects practice answering tasks on the mathematic questions with various difficulties under the condition of no time pressure; for example, 5 calculation questions are extracted from the mathematical questions with three difficulties, namely high, low, medium and medium.
The test pressure setting module automatically sets the mathematical question difficulty and the answer time of the subject in the test stage of the mathematical answer task according to the answer time and the answer accuracy of the subject in the exercise stage of the answer task;
the test answering module extracts the mathematical questions with the corresponding set difficulty from the mathematical question task library, and the subject performs a mathematical question answering task test under the given time pressure for answering the questions;
the timing module is used for respectively recording the answering time of a subject in the answering task practice stage and the answering task test stage and respectively calculating the average answering time of low-difficulty mathematical questions, medium-difficulty mathematical questions and high-difficulty mathematical questions in the answering task practice stage;
the accuracy rate statistics module is used for counting the answer accuracy rate of the subject in the answer task practice stage and the answer task test stage.
In order to adapt to the computing power of different subjects and enable the subjects to generate pressure in the mathematical answer task testing stage, a testing answer module adopted in the invention is configured with multiple difficulty level gateway violation test tasks, a testing pressure setting module sets corresponding gateway answer for each difficulty level gateway violation test task, and self-adaptively selects corresponding gateway violation test tasks according to the computing use time and answer accuracy of the subjects in the answer practice stage, for example, for the subjects with strong computing power, the gateway violation test tasks with higher difficulty and higher time pressure can be configured; when the subject meets the set conditions of correct answer rate and pass-through answer time and completes the pass-through test task of the current difficulty level, the subject enters the pass-through test task of the next difficulty level to carry out mathematical answer task test, otherwise, when the set time does not complete answer and the answer rate is lower than one of the set requirements and is not in accordance, the subject can not enter the test task of the next difficulty level, but continues to repeat the gateway violation test task of the current difficulty level, and can not enter the gateway violation test task of the next difficulty level until all the tasks reach the standard, and when the total use set in the test stage of the mathematical answer task is completed, the test of the mathematical answer task is finished. The answer accuracy set in the present invention may be set to 85%, or may be set higher or lower, and of course, the higher the set numerical value, the higher the pressure level generated at the current difficulty level.
In order to increase the interest of breakthrough, the pressure can be adaptively adjusted according to the psychological fluctuation of the testee, so that the testee can feel the pressure and can insist on completing the task of answering without giving up. The method is characterized in that nine barrier violation test tasks with difficulty levels are configured in a test answer module, a subject starts to execute the test tasks with low difficulty levels (for example, the test tasks are executed from the first barrier, and are gradually upgraded to the second barrier, the third barrier, the 8230, the 8230; and the 8230), if three questions are continuously answered in the current barrier violation test task process, a timing module reduces the subsequent mathematical answer time by 1 second/question and at most 3 seconds/question, and further increases the time pressure; if the subject continuously answers three wrong questions, the timing module increases the subsequent mathematical answering time by 1 second/question and increases the subsequent mathematical answering time by 3 seconds/question at most, and reduces the time pressure on the subsequent mathematical answering time, thereby avoiding giving up answering thoughts due to overlarge pressure.
The nine types of obstacle-crossing barrier-violation testing tasks with the difficulty level, which are set by the invention, comprise the following steps:
a first level of checkpoint: low difficulty and low pressure mathematic answering task;
a second checkpoint: a low-difficulty medium-pressure mathematical answer task;
and (3) a third level: a low-difficulty high-pressure mathematic question answering task;
and a fourth checkpoint: the middle difficulty and the low pressure are used for mathematic question answering tasks;
and a fifth checkpoint: the medium-difficulty medium-pressure mathematical answer task;
and a sixth checkpoint: the medium-difficulty high-pressure mathematic question answering task;
a seventh checkpoint: high-difficulty low-pressure mathematic question answering tasks;
and eight checkpoints: high-difficulty medium-pressure mathematical answer tasks;
a ninth checkpoint: high-difficulty high-pressure mathematic answer task.
The low difficulty is a calculation problem of direct integer plus integer minus; the middle difficulty is a calculation problem of dislocation integer plus integer minus; the high difficulty is the calculation problem that the borrowing can not be added with the whole subtraction.
The low pressure is 90% of the average time consumption of the mathematical answer exercise tasks corresponding to the same difficulty under the condition of no time pressure;
the medium pressure is 70% of the average time of the mathematical answer training tasks corresponding to the same difficulty under the condition of no time pressure;
the high pressure is 50% of the average time of the mathematical answer exercise task corresponding to the same difficulty under the condition of no time pressure.
Of course, the above values are not limited to the given values, such as: the low pressure may be set to 85% of the average time used for the exercise task; medium pressure may be set to 65% of average time for the exercise task; the high pressure may be set at 45% of the average time used for the exercise task. During actual execution, the method can also adjust the calculation time according to the specific calculation proficiency, is suitable for the calculation capability of different subjects, has strong universality, and aims to accurately acquire the peripheral physiological data of the subjects under the generated time pressure.
The physiological data acquisition equipment preferably adopts a wearable physiological acquisition bracelet which is researched and developed by the Chinese Correct department, and can also acquire a pre-measured resting state average skin electric signal before a subject performs a mathematical answer task, a pressure state average skin electric signal when the mathematical answer task is performed and a post-measured resting state average skin electric signal after the mathematical answer task is completed; the identification algorithm module draws a plane rectangular coordinate system of the relation between the acquisition time and the skin electric signal according to the former measurement resting state average skin electric signal, the pressure state average skin electric signal and the latter measurement resting state average skin electric signal, marks corresponding skin electric signal coordinate points in three states in the plane rectangular coordinate system, sequentially connects the corresponding skin electric signal coordinate points and pulse wave signal coordinate points in the three states, and judges the depression tendency of the testee according to the skin electric broken line shape and the pulse wave broken line shape which are encircled. Of course, the physiological data acquisition device can also acquire the acceleration, angular velocity, skin temperature and heart rate characteristic data of the subject, and can also participate in other corresponding calculations.
The judgment method of the identification algorithm module on the depression tendency of the subject is as follows: when the skin electric broken line is in an inverted V shape and the pulse wave broken line is in a positive V shape, judging that the subject is low in depression risk; when the skin electric broken line is in a non-inverted V shape and the pulse wave broken line is in a non-positive V shape, judging that the subject is at high risk of depression; and if the broken line shape surrounded by one of the two signals is a non-positive V shape or a non-positive V shape, judging the risk of the subject in depression.
The system is also provided with a voice punishment module for increasing the psychological pressure of the testee, when the testee answers wrongly, the voice punishment module broadcasts the voice stimulating the testee, certainly, during testing, countdown can be set, and when the last 1 second is reached, a countdown voice prompt can be generated.
As shown in fig. 3, during the specific implementation, the subject is first required to wear a physiological collection bracelet, which can collect two physiological signals, namely pulse wave and skin current. After wearing the bracelet, the subject stays in a calm state for 3min (in a resting state), and the subject does nothing in the process, namely relaxes the mood and collects physiological data; after 3min, the subject is allowed to do a time-pressure mathematical question task, the time is 5min (namely a self-adaptive time-pressure mathematical answer test task stage), in the 5min process, the subject adopts a plurality of breakthrough barrier test tasks with gradually increased difficulty and pressure levels from an exercise stage to a formal task test stage, the set total timing time is one, the test task is immediately stopped to be continuously completed, and 300 calculation questions are preset in a mathematical question task library. And then, continuously repeating the previous rest state data acquisition (namely, measuring rest afterwards) of the subject, continuously acquiring for 3min, operating the data of the three stages (T1, T2 and T3) by the system, calculating the slopes formed by the two adjacent points, and judging that the risk of the depression of the subject is low if the two slopes formed by the three points are opposite, or judging that the risk of the depression is high if the two slopes formed by the three points are opposite. More intuitively, the shape formed by the three numerical points is judged, if the shape is an inverted V shape or a positive V shape, the risk of depression of the subject is judged to be lower, otherwise, the risk of depression is judged to be higher (medium or high risk level). The system is adopted to carry out experimental verification on normal people and depressed patients, the objective evaluation accuracy is high, and the depression risk can be quickly identified.
Nothing disclosed in this application is applicable to the prior art.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are intended to be within the scope of the invention.
Claims (10)
1. A depression tendency recognition system based on time pressure mathematical problem tasks is characterized by comprising physiological data acquisition equipment, a mathematical problem task library, a pressure question answering module and a recognition algorithm module, wherein the mathematical problem task library, the pressure question answering module and the recognition algorithm module are operated on a computer terminal, and the depression tendency recognition system comprises:
the mathematical problem task library stores low-difficulty mathematical problems, medium-difficulty mathematical problems and high-difficulty mathematical problems;
the pressure answering module extracts a set number of mathematical questions from the mathematical question task library and sets answering time for enabling the subject to generate answering pressure according to the calculation capacity of the subject;
the physiological data acquisition equipment is used for acquiring a front-measuring resting state average pulse wave signal before a subject performs a mathematical answer task, a pressure state average pulse wave signal when the mathematical answer task is performed and a rear-measuring resting state average pulse wave signal after the mathematical answer task is completed;
and the identification algorithm module is used for drawing a plane rectangular coordinate system of the relation between the acquisition time and the pulse wave signals according to the pre-measured resting state average pulse wave signals, the pressure state average pulse wave signals and the post-measured resting state average pulse wave signals, marking corresponding pulse wave signal coordinate points in the three states in the plane rectangular coordinate system, sequentially connecting the corresponding pulse wave signal coordinate points in the three states, and judging the depression tendency of the testee according to the encircled broken line shape.
2. The system of claim 1, wherein the stress answer module comprises:
the practice answer module extracts a set number of low-difficulty mathematical questions, medium-difficulty mathematical questions and high-difficulty mathematical questions from the mathematical question task library, and subjects practice answer tasks on the mathematical questions with different difficulties under the condition of no time pressure;
the test pressure setting module is used for automatically setting the difficulty and the right rate of the mathematical questions of the subject in the test stage of the mathematical answer task according to the answering time and the right rate of the answering of the subject in the exercise stage of the answer task;
the test answering module extracts a set number of mathematical questions with corresponding difficulty from the mathematical question task library, and the subject performs a mathematical answer task test under the given time pressure for answering the questions;
the timing module is used for respectively recording the answering time of the subject in the answering task practice stage and the answering task test stage and respectively calculating the average answering time of low-difficulty mathematical questions, medium-difficulty mathematical questions and high-difficulty mathematical questions in the answering task practice stage;
and the accuracy rate counting module is used for counting the answer accuracy rate of the subject in the answer task practice stage and the answer task test stage.
3. The system for identifying depression tendency based on time-pressure mathematical problem task as claimed in claim 2, wherein the test answer module is configured with multiple difficulty level passing checkpoint test tasks, and the test pressure setting module sets corresponding checkpoint answers for each difficulty level passing checkpoint test task; and if the subject meets the set conditions of correct answer rate and pass-through answer time and completes the pass-through test task of the current difficulty level, the subject enters the next pass-through test task of the current difficulty level to perform the mathematical answer task test, otherwise, the pass-through test task of the current difficulty level is repeated until the set total use of the mathematical answer task test stage is completed, and the mathematical answer task test is ended.
4. The system for identifying depression tendency based on time-pressure math question task of claim 3, wherein the test answering module is configured with nine difficulty level violation checkpoint test tasks, the subject starts to execute from the low difficulty level test task, if three questions are answered continuously, the timing module reduces the subsequent math answering time by 1-3 seconds/question, if three questions are answered continuously, the timing module increases the subsequent math answering time by 1-3 seconds/question.
5. The system for identifying depressive tendencies based on time-stress mathematical problem tasks according to claim 3, wherein said nine difficulty level breakthrough checkpoint testing tasks include: the low-difficulty low-pressure mathematical answer task, the low-difficulty medium-pressure mathematical answer task, the low-difficulty high-pressure mathematical answer task, the medium-difficulty low-pressure mathematical answer task, the medium-difficulty medium-pressure mathematical answer task, the medium-difficulty high-pressure mathematical answer task, the high-difficulty low-pressure mathematical answer task, the high-difficulty medium-pressure mathematical answer task and the high-difficulty high-pressure mathematical answer task are disclosed, wherein the low pressures of the three types of difficulty mathematical answer tasks are 90% of the average time of the same-difficulty mathematical answer exercise tasks under the condition of no time pressure, the medium pressures are 70% of the average time of the same-difficulty mathematical answer exercise tasks under the condition of no time pressure, and the high pressures are 50% of the average time of the same-difficulty answer mathematical exercise tasks under the condition of no time pressure.
6. The system for identifying depressive tendency of task based on time-stress mathematics questions according to claim 5, wherein said low difficulty mathematics questions are calculation questions of direct whole plus whole minus; the middle difficulty mathematics subject is the calculation subject of dislocation integer plus integer minus; the high-difficulty degree mathematics questions are calculation questions that borrowing can not be added and subtracted in an integral mode.
7. The system for identifying depressive tendencies based on temporal-pressure mathematical problem tasks according to any one of claims 1-6, wherein said physiological data acquisition device is further adapted to acquire a pre-measured resting-state average cutaneous electrical signal of the subject before the mathematical problem-answering task is performed, a pressure-state average cutaneous electrical signal while the mathematical problem-answering task is performed, and a post-measured resting-state average cutaneous electrical signal after the mathematical problem-answering task is completed; the identification algorithm module draws a planar rectangular coordinate system of the relation between the acquisition time and the skin electric signal according to the former measured resting state average skin electric signal, the pressure state average skin electric signal and the latter measured resting state average skin electric signal, marks corresponding skin electric signal coordinate points in the three states in the planar rectangular coordinate system, sequentially connects the corresponding skin electric signal coordinate points and the corresponding pulse wave signal coordinate points in the three states, and judges the depression tendency of the subject according to the skin electric broken line shape and the pulse wave broken line shape which are surrounded.
8. The system for identifying depressive tendency based on time-stress mathematical problem task according to claim 7, characterized in that the method for determining the depressive tendency of the subject by the identification algorithm module is: when the skin electric broken line shape is in an inverted V shape and the pulse wave broken line shape is in a positive V shape, judging that the depression of the subject is low risk; when the skin electric broken line shape is in a non-inverted V shape and the pulse wave broken line shape is in a non-positive V shape, judging that the subject is at high risk of depression; and when the skin electric broken line shape is in a non-inverted V shape and the pulse wave broken line shape is in a positive V shape, or the skin electric broken line shape is in an inverted V shape and the pulse wave broken line shape is in a non-positive V shape, judging the risk in the depression of the subject.
9. The system for identifying depressive tendency of a task based on time-pressure math questions according to claim 8, wherein a voice punishment module for increasing psychological pressure of the testee is further arranged in the system, and when the testee answers wrong, the voice punishment module broadcasts voice stimulating the testee.
10. The system for identifying depressive tendencies based on time-pressure mathematical problem tasks according to claim 7, characterized in that said physiological data acquisition device is a wearable physiological acquisition bracelet, detecting pulse wave band energy values HF and skin electrical levels SCL simultaneously.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105147248A (en) * | 2015-07-30 | 2015-12-16 | 华南理工大学 | Physiological information-based depressive disorder evaluation system and evaluation method thereof |
| CN109157231A (en) * | 2018-10-24 | 2019-01-08 | 阿呆科技（北京）有限公司 | Portable multi-channel Depression trend assessment system based on emotional distress task |
| CN112259237A (en) * | 2020-10-13 | 2021-01-22 | 阿呆科技（北京）有限公司 | Depression evaluation system based on multi-emotion stimulation and multi-stage classification model |
| CN112331308A (en) * | 2020-11-04 | 2021-02-05 | 北京心海导航教育科技股份有限公司 | Multichannel intelligent decompression relaxation management system |
-
2022
- 2022-09-20 CN CN202211145987.7A patent/CN115588484A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105147248A (en) * | 2015-07-30 | 2015-12-16 | 华南理工大学 | Physiological information-based depressive disorder evaluation system and evaluation method thereof |
| CN109157231A (en) * | 2018-10-24 | 2019-01-08 | 阿呆科技（北京）有限公司 | Portable multi-channel Depression trend assessment system based on emotional distress task |
| CN112259237A (en) * | 2020-10-13 | 2021-01-22 | 阿呆科技（北京）有限公司 | Depression evaluation system based on multi-emotion stimulation and multi-stage classification model |
| CN112331308A (en) * | 2020-11-04 | 2021-02-05 | 北京心海导航教育科技股份有限公司 | Multichannel intelligent decompression relaxation management system |
Non-Patent Citations (2)
| Title |
|---|
| 陈秀文 等: "抑郁症患者的自主神经异常与电生理表现", 《中国心理卫生杂志》 * |
| 黎柱培 等: "抑郁障碍患者事件相关电位的临床研究", 《海南医学》 * |
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