CN112190262A - Analysis system and analysis method for psychological measurement - Google Patents

Analysis system and analysis method for psychological measurement Download PDF

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CN112190262A
CN112190262A CN202011043818.3A CN202011043818A CN112190262A CN 112190262 A CN112190262 A CN 112190262A CN 202011043818 A CN202011043818 A CN 202011043818A CN 112190262 A CN112190262 A CN 112190262A
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psychological
early warning
analysis
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江萍萍
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Anhui Huiyun Psychological Counseling Co ltd
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    • 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
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network

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Abstract

The invention discloses an analysis system and an analysis method for psychological measurement, and relates to the technical field of psychological analysis. The invention comprises the following steps: sitting in front of the GST collector, carrying an electrocardio collector, a pulse collector and a skin electricity collector, and starting the system; the monitoring personnel ask questions of the testers in a question-answering or paper-making mode and send the obtained physiological indexes and the test indexes to the psychological analysis subsystem; the psychological analysis subsystem obtains a monitoring result according to the physiological index data, and uploads the monitoring result to the psychological cloud server for storage; the early warning module in the psychological feedback subsystem divides early warning grades according to the analysis result of the tester; generating different analysis schemes according to different early warning grades; risk tracking is performed on the testers, and the whole treatment process of the testers is monitored. The invention improves the accuracy of psychological detection and promotes the development of the psychological health of students.

Description

Analysis system and analysis method for psychological measurement
Technical Field
The invention belongs to the technical field of psychological analysis, and particularly relates to an analysis system and an analysis method for psychological measurement.
Background
At present, psychological diseases are increasingly prominent, physiological diseases and psychological diseases are mutually influenced, the psychological diseases can cause a plurality of physiological diseases, for example, bad emotions such as anxiety and depression can cause gastrointestinal tract disorder, insomnia and the like, and the physiological diseases can cause the psychological diseases such as insomnia can aggravate depression and anxiety.
Currently, there are a number of instruments or devices on the market for presentation, control, measurement, calculation, examination in psychological research work. The psychological instruments are various, the simplest instruments are mechanical pulleys, tuning forks and the like, and the most complicated instruments are electronic computers and the like. With the development of modern science and technology, psychological instruments are also continuously updated, and the types of psychological instruments are more and more, such as an eye tracker and the like, which are used for tracking an eye movement track and performing attention or pressure assessment, and when the psychological instruments are used, data of the eye tracker and the like are collected by using a data collection device for facilitating subsequent research and discussion.
Common data acquisition device is more in the existing market, nevertheless lacks one set and can accurately carry out measurement and analysis's system to the psychology, can assist school and teacher to know and manage student mental health status.
Disclosure of Invention
The invention aims to provide an analysis system and an analysis method for psychological measurement, wherein various human physiological collectors are arranged in collectors, human physiological data are collected and are sent to a psychological cloud server through a wireless transceiver module after being subjected to microprocessing, and measurement results are fed back to a user and a guardian of the user, so that the guardian can conveniently track each stage of a tester, and the problems of low accuracy and insufficient supervision of the conventional psychological analysis are solved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an analysis system for psychological measurement, which comprises a psychological measurement subsystem, a psychological analysis subsystem, a psychological feedback subsystem and a psychological cloud server, wherein the psychological analysis subsystem is connected with the psychological cloud server;
the psychological measurement subsystem is used for a tester to wear the sensing element on site, and monitoring personnel collects physiological data of the tester in a question-answering or paper-making mode and uploads the physiological data to the psychological analysis subsystem;
the psychological analysis subsystem is used for calculating and analyzing according to the physiological data of the testee to obtain a psychological measurement result of the testee;
the psychological feedback subsystem is used for generating an early warning and coaching scheme according to the psychological measurement result of the tester;
and the psychological cloud server is used for storing and integrally distributing data and commands.
Preferably, the psychological measurement subsystem comprises a microprocessor, an infrared temperature detector, a sensing element, a general I/O interface, an external flash, a clock circuit and a reset circuit, wherein the general I/O interface, the external flash, the clock circuit and the reset circuit are respectively connected with the microprocessor; the input ends of the infrared temperature detector and the sensing element are connected with the general I/O interface.
Preferably, the psychological analysis subsystem comprises a comprehensive psychological analysis processor, a human physiological database and a psychological analysis database; the comprehensive psychological analysis processor is used for acquiring physiological data of the testee, comparing the physiological data according to corresponding information state characteristic values in the human body physiological database, and calculating to acquire difference values of various physiological indexes of the testee; the human body physiological database is used for storing human body physiological data indexes and scoring standards of all stages under various physiological states; and the psychological analysis database is used for storing the psychological state characteristic value corresponding to each physiological data index and the psychology corresponding to the psychological state characteristic set.
Preferably, the psychological feedback subsystem comprises a personal information base, an early warning module, a risk tracking module and a coaching reservation module; the personal information base is used for storing personal information data of the testers; the early warning module is used for early warning the analysis result of the tester; the risk tracking module is used for carrying out long-term tracking investigation on testers with high early warning levels; and the tutoring appointment module is used for arranging tutoring appointments for testers with low early warning levels.
Preferably, the sensing element comprises an electrocardio collector, a pulse collector and a picoelectricity collector; the electrocardio collector, the pulse collector and the skin electricity collector are all connected with the general I/O interface through a matching circuit.
Preferably, the psychological measurement subsystem is a GST collector; the GSR collector shell is provided with an electrocardio ICG interface, a pulse PPG interface, a skin-electricity GSR interface, an infrared body temperature probe and a USB interface; the electrocardio ICG interface, the pulse PPG interface and the skin electricity GSR interface are respectively connected with an electrocardio collector, a pulse collector and a skin electricity collector; the infrared body temperature probe is used for measuring the temperature of a human body positioned on the front side of the GSR collector; the USB interface is used for connecting a data line.
The invention relates to an analysis method for psychometric measurement, which comprises the following steps:
step S1: sitting in front of the GST collector, carrying an electrocardio collector, a pulse collector and a skin electricity collector, and starting the system;
step S2: the monitoring personnel ask questions of the testers in a question-answering or paper-making mode and send the obtained physiological indexes and the test indexes to the psychological analysis subsystem;
step S3: the psychological analysis subsystem obtains a monitoring result according to the physiological index data, and uploads the monitoring result to the psychological cloud server for storage;
step S4: the early warning module in the psychological feedback subsystem divides early warning grades according to the analysis result of the tester;
step S5: generating different analysis schemes according to different early warning grades;
step S6: risk tracking is performed on the testers, and the whole treatment process of the testers is monitored.
Preferably, in the step S4, the early warning levels are divided into a first-level early warning, a second-level early warning, a third-level early warning and a fourth-level early warning; the testers of the first early warning and the second early warning need to perform group tutoring; the third-level early warning and the fourth-level early warning need risk tracking; testers of the first-stage early warning, the second-stage early warning, the third-stage early warning and the fourth-stage early warning can remove the early warning only by re-measuring at last.
The invention has the following beneficial effects:
according to the invention, various human body physiological collectors are arranged in the collectors, the wireless transceiving module is used for sending the physiological data to the psychological cloud server after the physiological data of the human body are collected and simultaneously subjected to micro-processing, and the measurement result is fed back to the user and the guardian, so that the guardian can conveniently track each stage of the tester, the accuracy of psychological detection is improved, and the development of the psychological health of students is promoted.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an analysis system for psychometric measurements according to the present invention;
FIG. 2 is a diagram of the steps of an analysis method for psychometric measurement according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is an analysis system and an analysis method for psychometric analysis, including a psychometric subsystem, a psychometric analysis subsystem, a psychometric feedback subsystem, and a psychometric cloud server;
the psychological measurement subsystem is used for the testers to wear the sensing elements on site, and the monitoring personnel collects the physiological data of the testers in a question-answering or paper-making mode and uploads the physiological data to the psychological analysis subsystem;
the psychological analysis subsystem is used for calculating and analyzing according to the physiological data of the testee to obtain a psychological measurement result of the testee;
the psychological feedback subsystem is used for generating an early warning and coaching scheme according to the psychological measurement result of the tester;
and the psychological cloud server is used for storing and integrally distributing data and commands.
The psychological measurement subsystem comprises a microprocessor, an infrared temperature detector, a sensing element, a general I/O interface, an external flash, a clock circuit and a reset circuit, wherein the general I/O interface, the external flash, the clock circuit and the reset circuit are respectively connected with the microprocessor; the input ends of the infrared temperature detector and the sensing element are connected with the universal I/O interface;
the output ends of the clock circuit and the reset circuit are connected with the input end of the microprocessor; the clock circuit is used for setting the working time of the GSR collector, and can preset the collection time and the collection period of the GSR collector; the reset circuit is used for resetting the GSR collector; the external flash is used for calling the external file through frames, buttons and movie clips; the microprocessor is an ATmegal 128L singlechip.
The psychological analysis subsystem comprises a comprehensive psychological analysis processor, a human body physiological database and a psychological analysis database; the comprehensive psychological analysis processor is used for acquiring physiological data of the testee, comparing the physiological data according to corresponding information state characteristic values in the human body physiological database, and calculating to obtain difference values of various physiological indexes of the testee; the human body physiological database is used for storing human body physiological data indexes and scoring standards of all stages under various physiological states; the psychological analysis database is used for storing the psychological state characteristic value corresponding to each physiological data index and the psychology corresponding to the psychological state characteristic set;
at least 170 sets of professional psychological assessment scales are arranged in the psychological analysis database and are used for various crowds and psychological problems. Student-specific scales such as a middle school student mental health scale, a test anxiety examination (TAI) and a learning disorder screening scale; a comet occupational competence assessment scale, a self-assessment anxiety scale (SAS), a self-assessment depression scale (SDS), a self-assessment symptom scale-SCL 90, a suicide attitude questionnaire and other mental health scales; personality test class scales such as a minnesota (MMPI) multi-personality test, an Essenke personality questionnaire, a Katel 16 personality test and the like; family psychological scales such as a family environment scale, a life satisfaction index scale, a family function evaluation scale and the like; child psychological scales such as a Rutter child behavior scale (parents), a Rutter child behavior scale (teachers), a child autism rating scale and the like; the interpersonal communication class scales comprise a UCLA lonality scale, an emotion-social lonality questionnaire, a self-inferior feeling scale (FIS), an teenager life event scale, an Esseck emotion stability test, an interpersonal relationship comprehensive diagnosis scale and the like; intelligence test category scales such as Wechsler adult intelligence test, Revin reasoning test standard type and the like; vocational tendency scales such as the hollanded vocational tendency test scale, and the like.
The psychological teacher can select samples according to different scales and various combination conditions of total average, various factor scores, gender, age, source area, organizational structure and the like of each scale, and can conduct overall condition query and data classification retrieval and derive a multidimensional statistical report.
The psychological feedback subsystem comprises a personal information base, an early warning module, a risk tracking module and a tutoring reservation module; the personal information base is used for storing personal information data of the testers; the early warning module is used for early warning the analysis result of the tester; the risk tracking module is used for carrying out long-term tracking investigation on testers with high early warning levels; the tutoring appointment module is used for arranging tutoring appointments for testers with low early warning levels; during reservation, a psychological teacher can check the left message in the unit, a user can also select whether the left message is disclosed or appoints a specific consultant to browse, the number of left message interaction times is not limited, and a chat type question-answer mode is simulated; the reservation function adopts a national rhyme psychological platform intelligent reservation mode, a consultant can set the reception time once and then continue according to a period, and the middle can be changed at any time; the user can select a consultant in the unit, and can only make a reservation once every time, and the reservation of the same account exceeds three times of confidences, and the account is pulled into a blacklist by the system.
Wherein, the sensing element comprises an electrocardio collector, a pulse collector and a skin electricity collector; the electrocardio collector, the pulse collector and the skin electricity collector are all connected with the general I/O interface through a matching circuit.
Wherein, the psychological measurement subsystem is a GST collector; the GSR collector shell is provided with an electrocardio ICG interface, a pulse PPG interface, a skin-electricity GSR interface, an infrared body temperature probe and a USB interface; the electrocardio ICG interface, the pulse PPG interface and the skin electricity GSR interface are respectively connected with the electrocardio collector, the pulse collector and the skin electricity collector; the infrared body temperature probe is used for measuring the temperature of a human body positioned on the front side of the GSR collector; the USB interface is used for connecting a data line.
Referring to fig. 2, the present invention is an analysis method for psychometric measurement, including the following steps:
step S1: sitting in front of the GST collector, carrying an electrocardio collector, a pulse collector and a skin electricity collector, and starting the system;
step S2: the monitoring personnel ask questions of the testers in a question-answering or paper-making mode and send the obtained physiological indexes and the test indexes to the psychological analysis subsystem;
step S3: the psychological analysis subsystem obtains a monitoring result according to the physiological index data, and uploads the monitoring result to the psychological cloud server for storage;
step S4: the early warning module in the psychological feedback subsystem divides early warning grades according to the analysis result of the tester;
step S5: generating different analysis schemes according to different early warning grades;
step S6: risk tracking is performed on the testers, and the whole treatment process of the testers is monitored.
In step S4, the early warning levels are classified into a first-level early warning, a second-level early warning, a third-level early warning, and a fourth-level early warning; the testers of the first early warning and the second early warning need to perform group tutoring; risk tracking is required for the third-level early warning and the fourth-level early warning; testers of the first-level early warning, the second-level early warning, the third-level early warning and the fourth-level early warning can remove the early warning only by re-measurement at last, and each early warning grade is divided into five grades which are respectively 'extremely high', 'moderate', 'low' and 'normal'.
The system can comprehensively judge and automatically obtain the mental health state of each tested person, and normal and abnormal conditions are screened out. Automatically entering an abnormal list, then carrying out four-stage early warning and five-stage risk assessment; then, a list of early warning personnel needing attention is further screened, and psychological consultants only need to operate according to the process, for example, the early warning tracking assessment that the lower and middle individuals are switched into a group for tutoring, and the higher and extremely high individuals are switched into suicide risk tracking; individuals with higher suicide risk tracking evaluation levels and extremely high suicide risk tracking evaluation levels are switched into actual risk tracking; the individuals with higher and extremely high actual risk tracking evaluation levels are transferred to psychological referral; the system provides various online early warning processing modes and supervision schemes, and supports online and offline individual intervention.
Aiming at the needs of an education system, a comprehensive 3 sets of scales are organized by experts, and the low grade edition, the middle school edition and the university edition of the potential risk psychological assessment of the primary school are assessed by the potential risk psychological assessment. The complete set of tables are comprehensively evaluated from multiple dimensions aiming at different age groups, such as depression dimension, anxiety dimension, life adaptation dimension, obsessive dimension, paranoid and hostility dimension, marginal dimension, self-inferior dimension, network addiction dimension, suicide tendency dimension and the like. Through the test of the part, the potential risk persons are screened and prevented early.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (8)

1. An analysis system for psychological measurement, comprising a psychological measurement subsystem, a psychological analysis subsystem, a psychological feedback subsystem and a psychological cloud server, characterized in that:
the psychological measurement subsystem is used for a tester to wear the sensing element on site, and monitoring personnel collects physiological data of the tester in a question-answering or paper-making mode and uploads the physiological data to the psychological analysis subsystem;
the psychological analysis subsystem is used for calculating and analyzing according to the physiological data of the testee to obtain a psychological measurement result of the testee;
the psychological feedback subsystem is used for generating an early warning and coaching scheme according to the psychological measurement result of the tester;
and the psychological cloud server is used for storing and integrally distributing data and commands.
2. The analytic system for psychological measurement of claim 1, wherein the psychological measurement subsystem comprises a microprocessor, an infrared temperature detector, a sensing element, and a general purpose I/O interface, an external flash, a clock circuit, a reset circuit, which are respectively connected with the microprocessor; the input ends of the infrared temperature detector and the sensing element are connected with the general I/O interface.
3. The analytic system for psychometric measurement of claim 1, wherein the psychometric analysis subsystem comprises a combined psychometric analysis processor, a human physiology database, and a psychometric analysis database; the comprehensive psychological analysis processor is used for acquiring physiological data of the testee, comparing the physiological data according to corresponding information state characteristic values in the human body physiological database, and calculating to acquire difference values of various physiological indexes of the testee; the human body physiological database is used for storing human body physiological data indexes and scoring standards of all stages under various physiological states; and the psychological analysis database is used for storing the psychological state characteristic value corresponding to each physiological data index and the psychology corresponding to the psychological state characteristic set.
4. An analysis system for psychometric measurements according to claim 1, wherein the psychofeedback subsystem comprises a personal information base, an early warning module, a risk tracking module, and a coaching reservation module; the personal information base is used for storing personal information data of the testers; the early warning module is used for early warning the analysis result of the tester; the risk tracking module is used for carrying out long-term tracking investigation on testers with high early warning levels; and the tutoring appointment module is used for arranging tutoring appointments for testers with low early warning levels.
5. An analysis system for psychological measurements according to claim 1 or 2, characterised in that the sensing elements comprise an electrocardio-collector, a pulse-collector and a pico-collector; the electrocardio collector, the pulse collector and the skin electricity collector are all connected with the general I/O interface through a matching circuit.
6. An analysis system for psychological measurement according to claim 1, wherein the psychological measurement subsystem is a GST collector; the GSR collector shell is provided with an electrocardio ICG interface, a pulse PPG interface, a skin-electricity GSR interface, an infrared body temperature probe and a USB interface; the electrocardio ICG interface, the pulse PPG interface and the skin electricity GSR interface are respectively connected with an electrocardio collector, a pulse collector and a skin electricity collector; the infrared body temperature probe is used for measuring the temperature of a human body positioned on the front side of the GSR collector; the USB interface is used for connecting a data line.
7. An analysis method for psychometric measurements, comprising the steps of:
step S1: sitting in front of the GST collector, carrying an electrocardio collector, a pulse collector and a skin electricity collector, and starting the system;
step S2: the monitoring personnel ask questions of the testers in a question-answering or paper-making mode and send the obtained physiological indexes and the test indexes to the psychological analysis subsystem;
step S3: the psychological analysis subsystem obtains a monitoring result according to the physiological index data, and uploads the monitoring result to the psychological cloud server for storage;
step S4: the early warning module in the psychological feedback subsystem divides early warning grades according to the analysis result of the tester;
step S5: generating different analysis schemes according to different early warning grades;
step S6: risk tracking is performed on the testers, and the whole treatment process of the testers is monitored.
8. The analytic method for psychological measurement of claim 7, wherein in the step S4, the pre-warning levels are classified into a first-level pre-warning, a second-level pre-warning, a third-level pre-warning and a fourth-level pre-warning; the testers of the first early warning and the second early warning need to perform group tutoring; the third-level early warning and the fourth-level early warning need risk tracking; testers of the first-stage early warning, the second-stage early warning, the third-stage early warning and the fourth-stage early warning can remove the early warning only by re-measuring at last.
CN202011043818.3A 2020-09-28 2020-09-28 Analysis system and analysis method for psychological measurement Pending CN112190262A (en)

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