CN104367306A - Physiological and psychological career evaluation system and implementation method - Google Patents
Physiological and psychological career evaluation system and implementation method Download PDFInfo
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- CN104367306A CN104367306A CN201410668808.7A CN201410668808A CN104367306A CN 104367306 A CN104367306 A CN 104367306A CN 201410668808 A CN201410668808 A CN 201410668808A CN 104367306 A CN104367306 A CN 104367306A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- 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
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
-
- 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
-
- 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
-
- 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]
-
- 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
- A61B5/389—Electromyography [EMG]
Abstract
The invention relates to a physiological and psychological career evaluation system and implementation method. The system comprises a hardware part and a software part, the hardware part comprises a testing host, a data transmission interface, a signal processor and a sensor, the software part comprises SPSS software, movie and video materials and a norm, the hardware part is used for collecting physiological data of a user, and the software part compares and analyzes the collected data. According to the technical scheme, the physiological information of the user is collected through the hardware, corresponding career evaluation is finished by the software, and a career evaluation result is obtained in a synthesizing mode to provide service for the career development of the user.
Description
Technical field
The present invention relates to computer-aided diagnosis technology, particularly relate to Physiological Psychology Occupational assessment system and implementation method.
Background technology
Apply the information that multiple method obtains, a certain psychological phenomenon of individuality done comprehensively, system and deep objective description, this process is called that Physiological Psychology is assessed.Its assessment has multiple use in departments such as psychology, medical science, education, human resources, military justices, is wherein clinical object institute's used time, mainly contains following several: separately or auxiliaryly make psychological diagnosis; The intervening measure of guidance system centering reason, and the index of Chang Zuowei effect; The method of scientific research.Appraisal procedure mainly comprises:
Observational method
In evaluation process, be unable to do without observation to subjects, the result of observation needs the description correct through science in addition " quantification ".Simultaneously, often different recording mode is adopted because observational technique is different.Generally speaking, fixed pattern is observed has fixing logging program and mode, as long as strictly follow; Non-fixed pattern is observed and is often adopted descriptive recording method, not only to record observe target behavior performance, frequency, also to carry out reasoning and judging.
Survey method
Survey method is by talking, accessing, have an informal discussion or the mode such as questionnaire obtains data, and is analyzed and researched.Talking method or access method by talking with subjects, understanding its psychographic information, observing its behavior reaction when talking simultaneously, to supplement and to verify the data obtained, be described or grade record for analysis and research.What the effect talking method depended on the character of problem and researcher itself talks skill.Having an informal discussion also is a kind of investigation and interview means.Interrelated data can be obtained, to provide analysis and research in a big way by having an informal discussion.The psychological behavior problems of such as coronary cardiopathy rehabilitation phase can be had an informal discussion by regular and family members, obtains relevant psychosocial factor data and can carry out grade record.Questionnaire method in many cases, be unlikely to make investigation to omit important content, often prior design seismic wave table or questionnaire, arranged grade answer, fill in for surveyee face to face or by mailing, then collect questionnaire and one by one analytical grade record is carried out to its content and studies.
Laboratory method
Be carry out objectively directly measuring to a certain behavior variable, obtain absolute quantification record.But this method is subject to objective restriction, often only as the auxiliary variable in clinical position.
In prior art, do not have the Physiological Psychology Occupational assessment system of complete set, and be only simple by testting some specific physiologic information in prior art, test result often accuracy is lower also comparatively narrow.As evaluating system and the method for application number a kind of depression based on heart rate variance analyzing method disclosed in CN201410334899.0 patent, comprise with lower module: data storage module is for preserving electrocardio and pulse wave signal; Peak detection block obtains the peak point sequence of record data; Data correction module obtains sinus heartbeat NN interval series; Obtain heart rate variability curve module and obtain heart rate variability linearity curve; HRV analysis module comprises time-domain analysis, frequency-domain analysis and nonlinear analysis; Characteristic parameter module is selected to select characteristic parameter from HRV parameter; Model building module obtains perinatal stage depression disaggregated model; Models applying module is by the data of tester input disaggregated model, obtains depression grade.
Summary of the invention
For produced problem in background technology, the invention provides a kind of Physiological Psychology Occupational assessment system, comprise hardware and software part, described hardware components comprises Test Host, data transmission interface, signal processor and sensor, described software section comprises SPSS software, television data, norm, described hardware components is for gathering the physiological data of user, and described software section is to the data analysis collected.
Preferably, connect with optical fiber cable between described sensor and signal processor.
In above-mentioned either a program preferably, the physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, at least one in electrocardio.
In above-mentioned either a program preferably, size, reflection muscular tone and the degree loosened of described myoelectricity display musculation.
In above-mentioned either a program preferably, the ultra-weak electronic signal that described brain wave acquisition and amplification are produced by brain cell, and be converted into digital signal to analyze.
In above-mentioned either a program preferably, described skin electricity, Pi Wen, respiratory frequency change with emotion changes.
In above-mentioned either a program preferably, blood volume is beaten for monitoring pulse, heart rate variability.
In above-mentioned either a program preferably, the small electrical signals monitor heart rate that produces according to myocardial contraction of described electrocardio and changes in heart rate.
In above-mentioned either a program preferably, described SPSS software carries out statistical disposition to the physiologic information collected.
In above-mentioned either a program preferably, described television data comprises and can cause user actively or the films and television programs experienced of negative feeling.
In above-mentioned either a program preferably, described norm is the mood assessments before using the works in television data.
In above-mentioned either a program preferably, described norm is formed by the physiological data of collection 1000 users.
Present invention also offers a kind of Physiological Psychology Occupational assessment implementation method, the method implementing this system comprises hardware components and software section, described hardware components comprises Test Host, data transmission interface, signal processor and sensor, described software section comprises SPSS software, television data, norm, said method comprising the steps of:
Sensor acquisition user physiological data;
Described physiological data is sent to Test Host by signal processor;
SPSS software completing user Physiological Psychology is assessed.
Preferably, connect with optical fiber cable between described sensor and signal processor.
In above-mentioned either a program preferably, the physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, at least one in electrocardio.
In above-mentioned either a program preferably, size, reflection muscular tone and the degree loosened of described myoelectricity display musculation.
In above-mentioned either a program preferably, the ultra-weak electronic signal that described brain wave acquisition and amplification are produced by brain cell, and be converted into digital signal to analyze.
In above-mentioned either a program preferably, described skin electricity, Pi Wen, respiratory frequency change with emotion changes.
In above-mentioned either a program preferably, blood volume is beaten for monitoring pulse, heart rate variability.
In above-mentioned either a program preferably, the small electrical signals monitor heart rate that produces according to myocardial contraction of described electrocardio and changes in heart rate.
In above-mentioned either a program preferably, described SPSS software carries out statistical disposition to the physiologic information collected.
In above-mentioned either a program preferably, described television data comprises and can cause user actively or the films and television programs experienced of negative feeling.
In above-mentioned either a program preferably, described norm is the mood assessments before using the works in television data.
In above-mentioned either a program preferably, described norm is formed by the physiological data of collection 1000 users.
Technical scheme provided by the invention needs the user of about 1000 to watch films and television programs, and gathers physical signs when user watches films and television programs, forms emotional response norm on this basis.We are when carrying out Occupational assessment, by the Physiological Psychology evaluating result of user therewith norm compare, determine the emotional response feature of user.And finally determine that user is more suitable for being engaged in what occupation, for the vocational development of user is offered suggestions.The user that indignant user is applicable to being engaged in service occupation as being not easy when being subject to unfair treatment, emotion is not easy to fluctuate is applicable to way official rank etc.
Accompanying drawing explanation
Fig. 1 is according to Physiological Psychology Occupational assessment system schematic block diagram of the present invention.
Fig. 2 is according to middle electromyographic signal collection transmission schematic diagram embodiment illustrated in fig. 1.
Fig. 3 is according to middle eeg signal acquisition transmission schematic diagram embodiment illustrated in fig. 1.
Fig. 4 is according to middle skin electricity embodiment illustrated in fig. 1, Pi Wen, breath signal collect and transmit schematic diagram.
Fig. 5 is according to middle blood volume beat signals collect and transmit schematic diagram embodiment illustrated in fig. 1.
Fig. 6 is according to center telecommunications collect and transmit schematic diagram embodiment illustrated in fig. 1.
Fig. 7 is according to Physiological Psychology assessment implementation method flow chart of the present invention.
Fig. 8 be according to Fig. 7 by previous work flow chart during SPSS software evaluation.
Detailed description of the invention
Describe the present invention in conjunction with exemplary embodiment with reference to the accompanying drawings.
Embodiment 1:
Be illustrated in figure 1 according to Physiological Psychology occupation evaluating system schematic block diagram of the present invention.In the present embodiment, hardware components comprises Test Host, data transmission interface, signal processor and sensor, and described hardware components is for gathering the physiological data of user.Connect with optical fiber cable between described sensor and signal processor.The physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, electrocardio.Size, reflection muscular tone and the degree loosened of described myoelectricity display musculation.The ultra-weak electronic signal that described brain wave acquisition and amplification are produced by brain cell, and be converted into digital signal to analyze.Described skin electricity, Pi Wen, respiratory frequency change with emotion changes.Blood volume is beaten for monitoring pulse, heart rate variability.The small electrical signals monitor heart rate that described electrocardio produces according to myocardial contraction and changes in heart rate.Software section comprises SPSS software, television data, norm.Described SPSS software carries out statistical disposition to the physiologic information collected.Described television data comprises can cause user actively or the films and television programs experienced of negative feeling.Described norm is the mood assessments before using the works in television data.Described norm is formed by the physiological data of collection 1000 users
Wherein, in order to faster and better transmission data, connect with optical fiber cable between sensor and signal processor, therefore between main frame and signal processor, add the device of data transmission interface, object is to the data of optical fiber cable collection and the USB interface of Test Host better be docked, thus transfers data to Test Host.
Wherein, SPSS software is statistical analysis software the earliest in the world, is born in nineteen sixty-eight researchs and develops successfully by three researchs of Stanford Univ USA.The most outstanding feature of SPSS is exactly that operation interface is very friendly, Output rusults is attractive in appearance beautiful, he uses the window mode of Windows to show the function of various management and analytical data method, dialog box is used to show various function selecting item, the Windows operant skill that GPRS is certain, know a little about statistical analysis principle, this software just can be used to be specific research work service.It is the first-selected statistical software of non-existing statistical personnel person.In the statistics that the general impression commonly using statistical software SAS, BMDP, GLIM, GENSTAT, EPILOG, MiniTab to the world numerous user is divided, its all function all obtains best result.Wherein, television data comprises and can cause our actively or the films and television programs composition experienced of negative feeling, the about 3-5 minute of each films and television programs duration.Wherein, we are by the mood assessments before using the works in television data.The physiological data of the user of collection about 1000 is formed norm by us.Calculate meansigma methods and the standard deviation of active mood that each works cause and negative feeling respectively.
Embodiment 2:
Be illustrated in figure 2 electromyographic signal collection transmission schematic diagram, electromyographic signal transfers to Test Host by signal processor processes after sensor acquisition, wherein, myoelectricity shows the size of musculation, reflection muscular tone and the degree loosened are moving cell action potential superpositions over time and space in numerous muscle fiber.
Embodiment 3:
Be illustrated in figure 3 eeg signal acquisition transmission schematic diagram, EEG signals transfers to Test Host by signal processor processes after sensor acquisition, and wherein, brain electricity is divided into different wave bands, and different wave bands represents brain and is in different states.
Band class (by frequency partition) and state description as follows:
Delta 0.5-4Hz adult deep sleep, anesthesia anoxia or brain organic disease;
Theta 4-8Hz is relevant with creative thinking with the sleep of people;
Alpha 8-12Hz wakefulness, closes order when not pondering a problem;
SMR 12-15Hz is relevant with regulating power with the human body automatic control of people;
The corticocerebral excitatory state of Beta 12-30Hz general proxy.
Embodiment 4:
Be illustrated in figure 4 skin electricity, Pi Wen, breath signal collect and transmit schematic diagram, skin electricity, Pi Wen, breath signal transfer to Test Host by signal processor processes after sensor acquisition, wherein, the situation of change of the high mental retardation reflection emotion of skin electricity: in nervous, frightened or anxiety situation, sweat gland secretion increases, skin surface perspiration increases, and causes electric conductivity to increase and causes the rising of skin electricity; When emotion is tranquil, skin electricity reduces.When excited, skin temperature rise; When emotion is tranquil, skin temperature drop is low.Time nervous speed increase, rate reduction when loosening.Breath signal is the enlargement and contraction measuring breast/abdominal part, can calculate the frequency of breathing and the amplitude of breathing.
Embodiment 5:
Be illustrated in figure 5 blood volume beat signals collect and transmit schematic diagram, blood volume beat signals transfers to Test Host by signal processor processes after sensor acquisition, wherein, the red light irradiation that sensor sends is to skin surface, can the size of computational reflect HONGGUANG, pulse can be monitored, heart rate variability.
Embodiment 6:
Be illustrated in figure 6 ecg signal acquiring transmission schematic diagram, electrocardiosignal transfers to Test Host by signal processor processes after sensor acquisition, wherein, tissue around heart and body fluid can conduct electricity, and therefore human body can be regarded as to be one and to have length and width, thick tridimensional volume conductor.Heart cans be compared to power supply, and the summation of countless Single Cardiac Cell change can be conducted and be reflected to body surface.Between body surface is much put, there is potential difference, also have a lot of point each other without potential difference be wait electric.Heart is in each cardiac cycle, in succession excited by pacemaker, atrium, ventricle, and along with bioelectric change, these bioelectric changes are called electrocardio.The small electrical signals monitor heart rate that sensor acquisition and amplification are produced by myocardial contraction and changes in heart rate.
Embodiment 7:
Be illustrated in figure 7 according to Physiological Psychology occupation evaluation and test implementation method flow chart of the present invention, comprise the following steps:
Sensor acquisition user physiological data;
Described physiological data is sent to Test Host by signal processor;
SPSS software completing user Physiological Psychology is assessed.
Embodiment 8:
Be illustrated in figure 8 according to Fig. 7 by previous work flow chart during SPSS software evaluation, comprise the following steps:
Select to obtain television data;
Mood assessments before works in television data are used;
Form norm;
Calculate meansigma methods and the standard deviation of active mood that each works cause and negative feeling respectively.
Wherein, described norm is a kind of for comparative standard amount number, by standardization sample test result calculations, i.e. and the average of a certain standardization sample and standard deviation.Test norm be called for short norm namely refer to certain group of people in test survey general level in characteristic or horizontal distribution situation.Norm and the large class of the interior norm two of group between group can be divided into.The former has grade, age norm, the difference of reflection different groups performance in test.The latter has the norms such as percentile rank, standard score, deviation IQ.The element of norm is raw score, derived score, relevant specific descriptions to norm group.
Embodiment 9:
Present embodiments provide a kind of Physiological Psychology assessment implementation method, the method implementing this system comprises hardware components and software section, described hardware components comprises Test Host, data transmission interface, signal processor and sensor, described software section comprises SPSS software, television data, norm, said method comprising the steps of: sensor acquisition user physiological data; Described physiological data is sent to Test Host by signal processor; SPSS software completing user Physiological Psychology is assessed.Connect with optical fiber cable between described sensor and signal processor.The physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, at least one in electrocardio.Size, reflection muscular tone and the degree loosened of described myoelectricity display musculation.
The ultra-weak electronic signal that described brain wave acquisition and amplification are produced by brain cell, and be converted into digital signal to analyze.Described skin electricity, Pi Wen, respiratory frequency change with emotion changes.Blood volume is beaten for monitoring pulse, heart rate variability.The small electrical signals monitor heart rate that described electrocardio produces according to myocardial contraction and changes in heart rate.Described SPSS software carries out statistical disposition to the physiologic information collected.Described television data comprises can cause user actively or the films and television programs experienced of negative feeling.Described norm is the mood assessments before using the works in television data.Described norm is formed by the physiological data of collection 1000 users.
In order to understand the present invention better, in conjunction with specific embodiments the present invention to be explained in detail above.But, obviously can carry out different modification and remodeling to the present invention and not exceed the wider spirit and scope of the present invention that claim limits.Therefore, above embodiment has exemplary and hard-core implication.
Claims (10)
1. Physiological Psychology Occupational assessment system, comprise hardware and software part, it is characterized in that, described hardware components comprises Test Host, data transmission interface, signal processor and sensor, described software section comprises SPSS software, television data, norm, described hardware components is for gathering the physiological data of user, and described software section is to the data analysis collected.
2. Physiological Psychology Occupational assessment system according to claim 1, is characterized in that, connect between described sensor and signal processor with optical fiber cable.
3. Physiological Psychology Occupational assessment system according to claim 1, is characterized in that, the physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, at least one in electrocardio.
4. Physiological Psychology Occupational assessment system according to claim 3, is characterized in that, size, reflection muscular tone and the degree loosened of described myoelectricity display musculation.
5. Physiological Psychology Occupational assessment system according to claim 3, is characterized in that, the ultra-weak electronic signal that described brain wave acquisition and amplification are produced by brain cell, and is converted into digital signal to analyze.
6. Physiological Psychology Occupational assessment system according to claim 3, is characterized in that, described skin electricity, Pi Wen, respiratory frequency change with emotion changes.
7. Physiological Psychology Occupational assessment system according to claim 3, is characterized in that, blood volume is beaten for monitoring pulse, heart rate variability.
8. Physiological Psychology Occupational assessment implementation method, the method implementing this system comprises hardware components and software section, described hardware components comprises Test Host, data transmission interface, signal processor and sensor, described software section comprises SPSS software, television data, norm, it is characterized in that, said method comprising the steps of:
Sensor acquisition user physiological data;
Described physiological data is sent to Test Host by signal processor;
SPSS software completing user Physiological Psychology Occupational assessment.
9. Physiological Psychology Occupational assessment implementation method according to claim 8, is characterized in that, connect between described sensor and signal processor with optical fiber cable.
10. Physiological Psychology Occupational assessment implementation method according to claim 8, is characterized in that, the physiological signal that described sensor extracts comprises myoelectricity, brain electricity, skin is electric, Pi Wen, respiratory frequency, blood volume are beaten, at least one in electrocardio.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106236117A (en) * | 2016-09-22 | 2016-12-21 | 天津大学 | Emotion detection method based on electrocardio and breath signal synchronism characteristics |
| CN108171437A (en) * | 2018-01-15 | 2018-06-15 | 吉林工程技术师范学院 | A kind of psychology vocational ability evaluation system |
| CN109009031A (en) * | 2018-09-05 | 2018-12-18 | 李锁让 | Assessment instrument and assessment method are selected in occupation based on EEG signals and Psychological Evaluation |
| CN109288518A (en) * | 2018-08-16 | 2019-02-01 | 北京薏然阳光电子技术有限公司 | Brain cognition neural Function Appraising system and method based on EEG and ERPs |
| CN109350082A (en) * | 2018-09-05 | 2019-02-19 | 李锁让 | Assessment instrument and assessment method are selected in occupation based on tranquillization state EEG signals |
| CN110279426A (en) * | 2019-06-03 | 2019-09-27 | 常州为伊心理咨询有限公司 | A kind of comprehensive middle school student's psychological assessment system |
| CN111166354A (en) * | 2020-01-23 | 2020-05-19 | 北京津发科技股份有限公司 | Method for analyzing factors influencing emotion change and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08243094A (en) * | 1995-03-13 | 1996-09-24 | Agency Of Ind Science & Technol | Human sensitivity measuring and evaluating unit |
| CN1803085A (en) * | 2005-01-14 | 2006-07-19 | 费兆馥 | Human subhealth state determining method and its checking device |
| CN101524267A (en) * | 2008-03-04 | 2009-09-09 | 黄林 | Comprehensive evaluating system and proposal for checking personal physical and psychological health |
| CN102961151A (en) * | 2012-11-27 | 2013-03-13 | 清华大学 | Psychological assessment system |
-
2014
- 2014-11-21 CN CN201410668808.7A patent/CN104367306A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08243094A (en) * | 1995-03-13 | 1996-09-24 | Agency Of Ind Science & Technol | Human sensitivity measuring and evaluating unit |
| CN1803085A (en) * | 2005-01-14 | 2006-07-19 | 费兆馥 | Human subhealth state determining method and its checking device |
| CN101524267A (en) * | 2008-03-04 | 2009-09-09 | 黄林 | Comprehensive evaluating system and proposal for checking personal physical and psychological health |
| CN102961151A (en) * | 2012-11-27 | 2013-03-13 | 清华大学 | Psychological assessment system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106236117A (en) * | 2016-09-22 | 2016-12-21 | 天津大学 | Emotion detection method based on electrocardio and breath signal synchronism characteristics |
| CN106236117B (en) * | 2016-09-22 | 2019-11-26 | 天津大学 | Mood detection method based on electrocardio and breath signal synchronism characteristics |
| CN108171437A (en) * | 2018-01-15 | 2018-06-15 | 吉林工程技术师范学院 | A kind of psychology vocational ability evaluation system |
| CN108171437B (en) * | 2018-01-15 | 2021-08-31 | 吉林工程技术师范学院 | Psychological occupational ability evaluation system |
| CN109288518A (en) * | 2018-08-16 | 2019-02-01 | 北京薏然阳光电子技术有限公司 | Brain cognition neural Function Appraising system and method based on EEG and ERPs |
| CN109009031A (en) * | 2018-09-05 | 2018-12-18 | 李锁让 | Assessment instrument and assessment method are selected in occupation based on EEG signals and Psychological Evaluation |
| CN109350082A (en) * | 2018-09-05 | 2019-02-19 | 李锁让 | Assessment instrument and assessment method are selected in occupation based on tranquillization state EEG signals |
| CN110279426A (en) * | 2019-06-03 | 2019-09-27 | 常州为伊心理咨询有限公司 | A kind of comprehensive middle school student's psychological assessment system |
| CN111166354A (en) * | 2020-01-23 | 2020-05-19 | 北京津发科技股份有限公司 | Method for analyzing factors influencing emotion change and electronic equipment |
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