CN111265227A - Test system for mental health field - Google Patents
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- CN111265227A CN111265227A CN202010192394.0A CN202010192394A CN111265227A CN 111265227 A CN111265227 A CN 111265227A CN 202010192394 A CN202010192394 A CN 202010192394A CN 111265227 A CN111265227 A CN 111265227A
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- 238000012360 testing method Methods 0.000 title claims abstract description 26
- 230000004630 mental health Effects 0.000 title claims abstract description 24
- 238000007781 pre-processing Methods 0.000 claims abstract description 17
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 230000001815 facial effect Effects 0.000 claims abstract description 8
- 230000010354 integration Effects 0.000 claims description 16
- 238000012217 deletion Methods 0.000 claims description 9
- 230000037430 deletion Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000008921 facial expression Effects 0.000 claims description 6
- 230000008676 import Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000036387 respiratory rate Effects 0.000 claims 3
- 238000012545 processing Methods 0.000 abstract description 4
- 238000000034 method Methods 0.000 abstract description 3
- 230000036391 respiratory frequency Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
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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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7285—Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
Abstract
The invention relates to the technical field of mental health, in particular to a test system aiming at the field of mental health, which comprises a processor, wherein the processor is in signal connection with a display module, the processor is in signal connection with a storage module, the processor is in signal connection with a data preprocessing unit, the data preprocessing unit comprises a microchip, the microchip is in signal connection with the processor, the microchip is in signal connection with an identification module, the microchip is in signal connection with a classification module, the microchip is in signal connection with a curve generation module, the microchip is in signal connection with a picture identification unit, the identification module is in signal connection with a data acquisition unit, and the processor is in signal connection with a data analysis unit. According to the invention, the data curve graph is generated by the curve generation module, the image identification unit identifies the facial feature data, and the data analysis unit analyzes the acquired data and respectively processes the two data, so that the data processing speed is increased, and the test speed of the test system is improved.
Description
Technical Field
The invention relates to the technical field of mental health, in particular to a test system aiming at the field of mental health.
Background
Psychological stress risk assessment can make health judgment on our bodies, including physical states and psychological conditions, according to assessment results, through scientific and comprehensive health management, the occurrence of chronic diseases is slowed down, the life quality is improved, the service life is prolonged, the medical expenditure is reduced, and the healthy life habits are promoted to be developed. There are many existing psychological state analyzing test equipment, but the test speed of the equipment system in the prior art is slow, and results cannot be obtained quickly.
Disclosure of Invention
The invention aims to solve the problem that the system testing speed is low in the prior art, and provides a testing system aiming at the field of mental health.
In order to achieve the purpose, the invention adopts the following technical scheme:
the design is a test system aiming at the mental health field, which comprises a processor, wherein the processor is in signal connection with a display module, the processor is in signal connection with a storage module, the processor is in signal connection with a data preprocessing unit, the data preprocessing unit comprises a microchip, the microchip is in signal connection with the processor, the microchip is in signal connection with an identification module, the microchip is in signal connection with a classification module, the microchip is in signal connection with a curve generation module, the microchip is in signal connection with a picture identification unit, the identification module is in signal connection with a data acquisition unit, the processor is in signal connection with a data analysis unit, the data acquisition unit transmits the acquired mental health data to the data preprocessing unit, a data curve graph is generated through the curve generation module, and the picture identification unit identifies facial characteristic data, the data analysis unit analyzes the acquired data and respectively processes the two data, so that the data processing speed is increased, and the test speed of the test system is improved.
Preferably, the data acquisition unit comprises a microprocessor, the microprocessor is in signal connection with the data preprocessing unit, the micro processor is in signal connection with a sorting module, the micro processor is in signal connection with a transmission module, the microprocessor is in signal connection with a conversion module, the conversion module is in signal connection with an integration module, the integration module is in signal connection with a facial expression acquisition module, the integration module is in signal connection with a respiratory frequency acquisition module, the integrated module is in signal connection with an electrocardio rate acquisition module, the facial expression acquisition module acquires facial feature data information, the respiratory frequency acquisition module acquires respiratory frequency information, the electrocardio rate acquisition module acquires electrocardio rate information, the acquired information is transmitted to the integrated module, and the information is transmitted to the microprocessor after being integrated by the integrated module.
Preferably, the microprocessor is in signal connection with a memory, the memory is in signal connection with a deletion module, the deletion module is in signal connection with the memory, and the deletion module clears data of the memory to ensure that enough storage space is reserved in the memory.
Preferably, the microchip is in signal connection with a distinguishing module, the distinguishing module is in signal connection with a rejecting module, the rejecting module rejects the error data distinguished by the distinguishing module, and the remaining data are classified and stored after rejection.
Preferably, the picture recognition unit comprises a single chip microcomputer, the single chip microcomputer is in signal connection with the microchip, the single chip microcomputer is in signal connection with the database, the single chip microcomputer is in signal connection with the picture definition adjusting module, the single chip microcomputer is in signal connection with the feature extraction module, and the single chip microcomputer is in signal connection with the feature combination module.
Preferably, the data analysis unit comprises an importing module, the importing module is in signal connection with the processor, the importing module is in signal connection with a comparison module, the comparison module is in signal connection with a difference module, the difference module is in signal connection with an analysis value judgment module, and the analysis value judgment module is in signal connection with a result generation module.
The invention provides a test system aiming at the field of mental health, which has the beneficial effects that:
the data analysis unit is connected with the processor through signals, the data acquisition unit transmits acquired mental health data to the data preprocessing unit, a data curve graph is generated through the curve generation module, the picture identification unit identifies facial feature data, the data analysis unit analyzes the acquired data and processes the two data respectively, the data processing speed is increased, and the test speed of the test system is improved.
Drawings
Fig. 1 is a system block diagram of a testing system for mental health field according to the present invention;
FIG. 2 is a system block diagram of a data acquisition unit in a testing system for mental health field according to the present invention;
fig. 3 is a system block diagram of a picture recognition unit in a testing system for mental health field 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.
Example 1
Referring to fig. 1-3, a test system for the field of mental health, which comprises a processor, wherein the processor is in signal connection with a display module, the display module is used for displaying a test result, the processor is in signal connection with a storage module, the processor is in signal connection with a data preprocessing unit, the data preprocessing unit is used for preprocessing acquired data, the data preprocessing unit comprises a microchip, the microchip is in signal connection with a processor, the microchip is in signal connection with an identification module, the identification module is used for identifying acquired data information, the microchip is in signal connection with a classification module, and the classification module is used for classifying the acquired data.
The microchip signal connection has a curve generation module, the microchip signal connection has a picture identification unit, the picture identification unit identifies picture data, the identification module signal connection has a data acquisition unit, the data acquisition unit acquires mental health data, the processor signal connection data analysis unit analyzes the mental health data, the data acquisition unit transmits the acquired mental health data to a data preprocessing unit, a data curve graph is generated through the curve generation module, the picture identification unit identifies facial feature data, the data analysis unit analyzes the acquired data, the two data are respectively processed, the speed of data processing is accelerated, and the testing speed of the testing system is improved.
Example 2
Referring to fig. 1-3, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the data acquisition unit includes a microprocessor, the microprocessor is connected with the data preprocessing unit via signals, the microprocessor is connected with a split module via signals, the split module is used for separating and transmitting data information and picture information, the microprocessor is connected with a transmission module via signals, the microprocessor is connected with a conversion module via signals, the conversion module is connected with an integration module via signals, the integration module is used for integrating the acquired data, the integration module is connected with a facial expression acquisition module via signals, the integration module is connected with a respiratory frequency acquisition module via signals, the integration module is connected with an electrocardiographic rate acquisition module via signals, the facial expression acquisition module acquires facial feature data information, the respiratory frequency acquisition module acquires respiratory frequency information, the electrocardiographic rate acquisition module acquires electrocardiographic rate information, the collected information is transmitted to the integration module, and is transmitted to the microprocessor after being integrated by the integration module, the microprocessor is in signal connection with the memory, the memory is in signal connection with the deletion module, the deletion module is in signal connection with the memory, and the deletion module clears the data of the memory to ensure that enough storage space is reserved in the memory.
Example 3
Referring to fig. 1-3, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the microchip is connected with a distinguishing module through a signal, the distinguishing module is connected with a rejecting module through a signal, the rejecting module rejects the error data distinguished by the distinguishing module, and after rejection, the remaining data is classified and stored.
Example 4
Referring to fig. 1-3, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the picture recognition unit includes a single chip, the single chip is in signal connection with a microchip, the single chip is in signal connection with a database, the single chip is in signal connection with a picture sharpness adjustment module, the picture sharpness adjustment module adjusts sharpness of the collected picture information, the single chip is in signal connection with a feature extraction module, the feature extraction module extracts feature information in the picture, the single chip is in signal connection with a feature matching module, and the feature matching module is used for collecting the collected information.
Example 5
Referring to fig. 1-3, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the data analysis unit includes an import module, the import module is connected to the processor by a signal, the import module is connected to a comparison module by a signal, the comparison module compares the collected data with the normal data, the comparison module is connected to a difference module by a signal, the difference module calculates the difference between the collected data and the normal data, the difference module is connected to an analysis value determination module by a signal, the analysis value determination module determines the mental health safety index according to the difference, the analysis value determination module is connected to a result generation module by a signal, and the result generation module obtains a conclusion according to the mental health safety index.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A test system aiming at the field of mental health comprises a processor and is characterized in that the processor is in signal connection with a display module, the processor is in signal connection with a storage module, the processor is in signal connection with a data preprocessing unit, the data preprocessing unit comprises a microchip, the microchip is in signal connection with the processor, the microchip is in signal connection with an identification module, the microchip is in signal connection with a classification module, the microchip is in signal connection with a curve generation module, the microchip is in signal connection with a picture identification unit, the identification module is in signal connection with a data acquisition unit, the processor is in signal connection with a data analysis unit, the data acquisition unit transmits acquired mental health data into the data preprocessing unit, a data curve graph is generated through the curve generation module, and the picture identification unit identifies facial feature data, the data analysis unit analyzes the collected data.
2. The system of claim 1, wherein the data acquisition unit comprises a microprocessor, the microprocessor is in signal connection with the data preprocessing unit, the microprocessor is in signal connection with a sorting module, the microprocessor is in signal connection with a transmission module, the microprocessor is in signal connection with a conversion module, the conversion module is in signal connection with an integration module, the integration module is in signal connection with a facial expression acquisition module, the integration module is in signal connection with a respiratory rate acquisition module, the integration module is in signal connection with an electrocardio rate acquisition module, the facial expression acquisition module acquires facial feature data information, the respiratory rate acquisition module acquires respiratory rate information, the electrocardio rate acquisition module acquires electrocardio rate information, and transmits the acquired information to the integration module, after being integrated by the integration module, the data are transmitted to the microprocessor.
3. The mental health field test system according to claim 2, wherein the microprocessor is in signal connection with a memory, the memory is in signal connection with a deletion module, the deletion module is in signal connection with the memory, and the deletion module clears data in the memory to ensure that sufficient storage space is reserved in the memory.
4. The mental health field test system according to claim 1, wherein the microchip is connected to a recognition module via signals, the recognition module is connected to a rejection module via signals, the rejection module rejects the erroneous data recognized by the recognition module, and the remaining data is sorted and stored after rejection.
5. The system according to claim 1, wherein the picture recognition unit comprises a single chip microcomputer, the single chip microcomputer is in signal connection with the microchip, the single chip microcomputer is in signal connection with the database, the single chip microcomputer is in signal connection with the picture definition adjusting module, the single chip microcomputer is in signal connection with the feature extraction module, and the single chip microcomputer is in signal connection with the feature matching module.
6. The system according to claim 1, wherein the data analysis unit comprises an import module, the import module is in signal connection with the processor, the import module is in signal connection with a comparison module, the comparison module is in signal connection with a difference module, the difference module is in signal connection with an analysis value determination module, and the analysis value determination module is in signal connection with a result generation module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010192394.0A CN111265227A (en) | 2020-03-18 | 2020-03-18 | Test system for mental health field |
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| CN202010192394.0A CN111265227A (en) | 2020-03-18 | 2020-03-18 | Test system for mental health field |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103914691A (en) * | 2014-04-15 | 2014-07-09 | 成都智引擎网络科技有限公司 | Target group analysis system and method based on face recognition and height recognition method |
| US20170071521A1 (en) * | 2015-09-14 | 2017-03-16 | Xerox Corporation | Representing a subject's state of mind using a psychophysiological model |
| CN206849035U (en) * | 2017-02-22 | 2018-01-05 | 浙江维尔科技有限公司 | A kind of image processing apparatus and face identification system |
| CN108030498A (en) * | 2017-12-13 | 2018-05-15 | 上海青研科技有限公司 | A kind of Psychological Intervention System based on eye movement data |
| CN108245176A (en) * | 2017-12-07 | 2018-07-06 | 江苏大学 | Based on the interactive contactless psychology detection therapeutic device of Internet of Things, system and method |
| CN110163118A (en) * | 2019-04-29 | 2019-08-23 | 湖南检信智能科技有限公司 | One kind being based on various dimensions Psychological Evaluation overall analysis system |
| CN110261793A (en) * | 2019-07-22 | 2019-09-20 | 武汉恒泰通技术有限公司 | A kind of outdoor wall-mounted power supply circuit fault diagnosis system |
| CN209474634U (en) * | 2018-09-29 | 2019-10-11 | 石河子大学 | A kind of psychology test device |
| CN110706216A (en) * | 2019-09-26 | 2020-01-17 | 北京晶科瑞医学检验实验室有限公司 | AI intelligent recognition-based tumor immune microenvironment data rapid processing system |
| CN110755091A (en) * | 2018-07-26 | 2020-02-07 | 杨万友 | Personal mental health monitoring system and method |
-
2020
- 2020-03-18 CN CN202010192394.0A patent/CN111265227A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103914691A (en) * | 2014-04-15 | 2014-07-09 | 成都智引擎网络科技有限公司 | Target group analysis system and method based on face recognition and height recognition method |
| US20170071521A1 (en) * | 2015-09-14 | 2017-03-16 | Xerox Corporation | Representing a subject's state of mind using a psychophysiological model |
| CN206849035U (en) * | 2017-02-22 | 2018-01-05 | 浙江维尔科技有限公司 | A kind of image processing apparatus and face identification system |
| CN108245176A (en) * | 2017-12-07 | 2018-07-06 | 江苏大学 | Based on the interactive contactless psychology detection therapeutic device of Internet of Things, system and method |
| CN108030498A (en) * | 2017-12-13 | 2018-05-15 | 上海青研科技有限公司 | A kind of Psychological Intervention System based on eye movement data |
| CN110755091A (en) * | 2018-07-26 | 2020-02-07 | 杨万友 | Personal mental health monitoring system and method |
| CN209474634U (en) * | 2018-09-29 | 2019-10-11 | 石河子大学 | A kind of psychology test device |
| CN110163118A (en) * | 2019-04-29 | 2019-08-23 | 湖南检信智能科技有限公司 | One kind being based on various dimensions Psychological Evaluation overall analysis system |
| CN110261793A (en) * | 2019-07-22 | 2019-09-20 | 武汉恒泰通技术有限公司 | A kind of outdoor wall-mounted power supply circuit fault diagnosis system |
| CN110706216A (en) * | 2019-09-26 | 2020-01-17 | 北京晶科瑞医学检验实验室有限公司 | AI intelligent recognition-based tumor immune microenvironment data rapid processing system |
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Application publication date: 20200612 |