CN113017633A - Intelligent mental analysis and evaluation method and system based on human body characteristic data - Google Patents
Intelligent mental analysis and evaluation method and system based on human body characteristic data Download PDFInfo
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Abstract
The invention provides an intelligent mental analysis and evaluation method based on human body characteristic data, which comprises the following steps: acquiring a collected human body electrocardiosignal, and calculating to obtain a respiratory base frequency and an instantaneous heart rate power spectrum based on the human body electrocardiosignal; calculating characteristic parameters of a mental system based on a floating frequency band method by combining the obtained respiratory fundamental frequency and the instantaneous heart rate power spectrum, and analyzing the heart rate variability of the characteristic parameters of the mental system; calculating to obtain a short-term mental index according to corresponding normal values of the SDNN in different age groups; obtaining a periodic mental state score through data mining; matching the human health data with corresponding scores according to preset rules according to the periodic mental state scores; and generating personalized evaluation and interpretation through the scores. The invention also provides an intelligent mental analysis and evaluation system based on the human body characteristic data. The method and the system provided by the invention can more comprehensively and accurately evaluate the mental state through a data mining algorithm and an intelligent mode.
Description
Technical Field
The invention relates to the technical field of mental evaluation, in particular to an intelligent mental analysis and evaluation method and system based on human body characteristic data.
Background
The progress and development of society put an intangible pressure on people, resulting in physical and mental injuries of individuals. Problems occurring in the body are easy to perceive; mental problems appear over a long period of time with accumulation and long periods of comparative observation are required to detect differences. Mental problems accumulated for a long time can cause a series of physical and psychological diseases and affect physical and psychological health.
Traditional mental analysis mainly adopts psychological tests to obtain mental states, and the mental states can be influenced by states, language expression ability and the like of individuals during testing. In the prior art, mental analysis and evaluation are performed through heart rate specificity, and the mental analysis and evaluation are mainly performed by taking a single heart rate variability time domain and a single heart rate variability frequency domain as mental evaluation bases. However, a single heart rate variability signal is unstable, a testee needs to maintain a relatively stable state for testing, and only the mental condition of the current time period can be evaluated, so that the result obtained by detection has a larger error from the actual condition, and the accuracy is lower. Meanwhile, the mental analysis and evaluation system in the prior art has low intelligent degree and inconvenient use, and cannot communicate and communicate with doctors in time to obtain real-time health guidance.
Disclosure of Invention
In order to solve at least one of the above technical problems, an object of the present invention is to provide an intelligent mental analysis and evaluation method and system based on human body characteristic data, which not only analyze and acquire a single heart rate variability signal, but also continuously detect a cardiac electrical signal and integrate the data, and effectively obtain a periodic mental state from an integrated data set through data mining; the mental state can be more comprehensively and accurately evaluated by matching the comprehensive state data such as sleep, exercise and the like through corresponding rules.
In order to at least achieve one of the above purposes, the technical solution adopted in the embodiments provided by the present invention is: the intelligent mental analysis and evaluation method based on the human body characteristic data comprises the following steps:
step 1): acquiring a collected human body electrocardiosignal, and calculating to obtain a respiratory base frequency and an instantaneous heart rate power spectrum based on the human body electrocardiosignal;
step 2): calculating characteristic parameters of a mental system based on a floating frequency band method by combining the respiratory fundamental frequency and the instantaneous heart rate power spectrum obtained in the step 1), and analyzing the heart rate variability of the characteristic parameters of the mental system; calculating to obtain a short-term mental index according to corresponding normal values of the SDNN in different age groups;
step 3): obtaining a periodic mental state score through data mining according to the sample set of the short-term mental index obtained in the step 2); the data mining is to input mental index sample set A ═ x1，x2，..xmH, a clustered cluster tree k, a maximum iteration number N, and an output cluster division C ═ C1，C2，...Ck}；
Step 4): matching the human health data with corresponding scores according to preset rules according to the periodic mental state scores; and generating personalized evaluation and interpretation through the scores.
Further, the data mining in step 3) specifically comprises the following steps:
(1) randomly selecting k samples from the mental index sample set a as initial k centroid vectors: { mu. }1，μ2，...，μk}；
(2) N for N1, 2,. N;
a. initializing cluster partitioning C to
Wherein t is 1,2.. k;
b. for i 1,2.. m, sample x is calculatediAnd each centroid vector mujDistance of (j ═ 1,2,. k):
dijx is | | xi- μ j | |22iMinimum mark is dijCorresponding class λi(ii) a Then update Cλi＝Cλi∪{xi}；
c. For j 1,2, k, pair CjRecalculate new centroid for all sample points in the image
d. If all k centroid vectors have not changed, go to step c;
(3) output cluster partitioning C ═ C1，C2，..Ck}；
(4) And obtaining a corresponding mental state score according to the obtained SDNN.
Further, in the step 1), calculating a QRS wave area in an electrocardiographic waveform according to the human body electrocardiosignals, extracting an electric signal, and performing Fourier transform on the electric signal to obtain the respiratory fundamental frequency; extracting an electrocardio R wave peak to obtain an RR interval signal, wherein the time interval of the midpoints of adjacent signals is T; calculating an instantaneous heart rate F according to the RR interval signals; and carrying out Fourier transformation according to the instantaneous heart rate F to obtain an instantaneous heart rate power spectrum.
Further, in the step 2), the mental system characteristic parameters are low-band power, high-band power and the proportion thereof; the heart rate variability analysis is to perform time domain and nonlinear analysis on the short-time series of the characteristic parameters of the mental system; the normal values corresponding to different age groups according to SDNN are: when the age is 18-29, the corresponding SDNN is 129.92-210.08; at an age of 30-49, corresponding to an SDNN of 115.52-180.21; when the age is 50-69, the corresponding SDNN is 91.28-150.46; at an age of 70 or more, the corresponding SDNN is 90.50 or less.
Further, in the step 4), the analyzing and evaluating the preset rule according to the mental state includes: the strain capacity state analysis and evaluation, the relaxation degree state analysis and evaluation and the fatigue degree state analysis and evaluation.
The invention also provides a system based on the intelligent mental analysis and evaluation method based on the human body characteristic data, which comprises human body characteristic data acquisition equipment, user terminal equipment and a cloud server; the human body characteristic data acquisition equipment is used for acquiring human body characteristic data of a user; the user terminal equipment is respectively in communication connection with the human body characteristic data acquisition equipment and the cloud server, receives the human body characteristic data and transmits the human body characteristic data to the cloud server; and after receiving the human body characteristic data, the cloud server performs storage, data analysis and calculation and outputs mental analysis and evaluation results of the user.
Further, the human body characteristic data acquisition equipment comprises an optical sensor, an electrocardio detection sensor and a near field communication module I; the optical sensor outputs heart rate data according to the detected optical signal; the electrocardio detection sensor outputs motion data and body temperature data according to the detected electrocardio signals; and the first near field communication module sends the heart rate data, the movement data and the body temperature data to the user terminal equipment.
Furthermore, the user terminal equipment comprises a display screen I, a near field communication module II and a wireless communication module I; the near field communication module II is in data communication with the near field communication module I and is used for receiving the human body electrocardiosignals and displaying the human body electrocardiosignals through the display screen I; the first wireless communication module is used for sending and receiving data to the outside; and the first wireless communication module sends the human body electrocardiosignals and the identity information data of the user to the cloud server.
Further, the cloud server comprises a storage module, an inquiry module, a calculation analysis module and a wireless communication module II; the wireless communication module II is used for sending and receiving data to the outside; the second wireless communication module is in data communication with the first wireless communication module; the second wireless communication module receives the human body electrocardiosignals and the identity information data of the user; the storage module is used for storing the human body electrocardiosignals and the identity information data of the user; the calculation analysis module is used for calculating and analyzing the human body electrocardiosignals and calculating sleep data, motion data, circadian rhythm and environment data; the sleep data are obtained by calculating basic sleep data through a threshold algorithm of an accelerometer and screening combined data of the heart rate data and the basic sleep data; calculating the motion data to obtain basic motion data through a threshold algorithm of an accelerometer, and filtering the basic motion data through combined data of the heart rate data and the basic motion data; the circadian rhythm is calculated in real time according to the heart rate difference between night and day by the heart rate data all day long; comparing the sleep data, the movement data, the circadian rhythm and the environmental data with corresponding threshold values, and finally outputting the grade scores and the evaluations of the health mental data of the user; the query module is used for receiving a query instruction and querying the grade scores and the evaluations of the health mental data.
Further, a doctor consultant terminal device is also included; the doctor consultant terminal equipment comprises a second display screen and a third wireless communication module; the wireless communication module III is used for sending and receiving data to the outside; the wireless communication module III is in data communication with the wireless communication module II; the wireless communication module III externally sends the query instruction and receives the grade scoring and evaluation of the health mental data; the second display screen displays the grade scores and the evaluations of the health mental data; the doctor consultant terminal device and the user terminal device communicate through the cloud server.
The invention also provides application of any one of the methods or the systems in intelligent human mental analysis and evaluation.
Preferably, the application comprises analyzing and evaluating the mental state of the human body.
More preferably, the mental state evaluation includes: the strain capacity state analysis and evaluation, the relaxation degree state analysis and evaluation and the fatigue degree state analysis and evaluation.
More preferably, the relevant data of the human health is matched with the corresponding score according to a preset rule; and generating good, medium and poor personalized evaluation and interpretation according to the corresponding scores.
Compared with the prior art, the intelligent mental analysis and evaluation method, the intelligent mental analysis and evaluation system and the application based on the human body characteristic data have the advantages that:
the intelligent mental analysis and evaluation method based on the human body characteristic data and the application thereof not only analyze and obtain a single heart rate variability signal, but also continuously detect a electrocardiosignal and integrate the data, effectively obtain a periodic mental state through a data mining algorithm for an integrated data set, and can more comprehensively and accurately evaluate the mental state.
According to the intelligent mental analysis and evaluation method based on the human body characteristic data and the application, various data such as sleep data, movement data, circadian rhythm, environmental data and the like are preferably synthesized, and the grade score and evaluation of the healthy mental data of the user are finally output; the evaluation accuracy is higher.
According to the intelligent mental analysis and evaluation system based on the human body characteristic data, the user terminal equipment is combined with the cloud server, so that the data calculation is fast, the intelligence is higher, and the operation is convenient; meanwhile, doctor consultant terminal equipment is provided, health mental data and the like of the user can be checked and analyzed through the cloud server, real-time communication and exchange are carried out between the cloud server and the user terminal equipment, and mental health guidance and guarantee are carried out on the user.
In a word, the invention provides the intelligent mental analysis and evaluation method, the system and the application based on the human body characteristic data, which are comprehensive, high in accuracy, intelligent and convenient to use, and have wide application prospects.
Drawings
FIG. 1 is a schematic diagram of an intelligent mental analysis and evaluation system based on human characteristic data according to the present invention;
FIG. 2 is a schematic structural diagram of a cloud server provided by the present invention;
FIG. 3 is a flow chart of the intelligent mental analysis and evaluation method based on human body characteristic data provided by the invention;
FIG. 4 is a schematic diagram of the optical signals detected by the optical sensor provided by the present invention;
fig. 5 is a schematic diagram of an electrocardiograph signal detected by an electrocardiograph detection sensor signal provided by the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to specific examples. Note that the following described embodiments are illustrative only for explaining the present invention, and are not to be construed as limiting the present invention. The examples, where specific techniques or conditions are not indicated, are to be construed according to the techniques or conditions described in the literature in the art or according to the product specifications.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The intelligent mental analysis and evaluation system based on human body characteristic data provided by the invention is explained in detail by specific embodiments as follows:
as shown in fig. 1 to 5, the intelligent mental analysis and evaluation system based on human body characteristic data provided by the invention comprises human body characteristic data acquisition equipment, user terminal equipment, a cloud server and doctor consultant terminal equipment. The human body characteristic data acquisition equipment is used for acquiring human body characteristic data of a user. The user terminal equipment is respectively in communication connection with the human body characteristic data acquisition equipment and the cloud server, receives human body characteristic data of a user and transmits the human body characteristic data to the cloud server; meanwhile, the human body characteristic data of the user can be displayed in real time. The cloud server is used for storing the received human body characteristic data of the user; and simultaneously carrying out data analysis and calculation to obtain the mental analysis and evaluation results of the user. The doctor consultant terminal equipment can inquire the mental analysis and evaluation results of the user and send the related opinions to the user terminal equipment through the cloud server, so that the mental health guidance and guarantee of the user are realized.
The human body characteristic data acquisition equipment comprises an optical sensor, an electrocardio detection sensor and a near field communication module I. Wherein the optical sensor outputs heart rate data based on the detected optical signal, which is shown in fig. 4. The electrocardio-detecting sensor can continuously monitor electrocardiosignals of a human body and output motion data, body temperature data and the like, and the electrocardiosignals detected by the electrocardio-detecting sensor signals are shown in figure 5. And the near field communication module I externally sends and transmits the human body characteristic data such as the heart rate data, the motion data, the body temperature data and the like to user terminal equipment. The human body characteristic data acquisition equipment is preferably intelligent wearable equipment.
The user terminal equipment comprises a display screen I, a near field communication module II and a wireless communication module I. The user terminal device is preferably a mobile phone, a tablet computer and other terminal devices. The near field communication module II can be in data communication with the near field communication module I and is used for receiving human body characteristic data such as the human body electrocardiosignals; and real-time display can be carried out through the first display screen. The first near field communication module and the second near field communication module are preferably Bluetooth modules. The first wireless communication module is used for sending and receiving related data to the outside. The first wireless communication module can externally send and transmit the human body characteristic data such as the human body electrocardiosignals and the like and the identity information data of the user to the cloud server.
The cloud server comprises a storage module, an inquiry module, a calculation analysis module and a wireless communication module II. And the second wireless communication module is used for sending and receiving related data to the outside. And the second wireless communication module can carry out data communication with the first wireless communication module. The second wireless communication module can receive the human body characteristic data such as the human body electrocardiosignals and the like and the identity information data of the user. The storage module is used for storing the human body characteristic data such as the human body electrocardiosignals and the like and the identity information data of the user. The calculation analysis module is used for calculating and analyzing the human body characteristic data such as the heart rate data, the movement data, the body temperature data and the like to calculate and obtain sleep data, movement data and human body health data related to circadian rhythm; wherein, the sleep data is calculated to obtain basic sleep data through a threshold algorithm of an accelerometer; screening combined data of the heart rate data and the basic sleep data to finally obtain sleep data; calculating the movement data through a threshold algorithm of an accelerometer to obtain basic movement data; filtering the combined data of the heart rate data and the basic exercise data to finally obtain exercise data; the circadian rhythm is calculated in real time by the whole-day heart rate data according to the heart rate difference between night and day.
And comparing the human health data with a corresponding threshold value, and finally outputting the health mental data grade score and evaluation of the user. The above data related to human health mainly include: the sleep time length, the deep sleep time length, the light sleep time length, the abnormal sleep condition, the time of falling asleep, the sleep heart rate, the exercise time length of the exercise data of the day, the exercise intensity, the exercise heart rate, the circadian rhythm and the like of the sleep data of the day. The inquiry module is used for receiving an inquiry instruction transmitted by the user terminal equipment or doctor consultant terminal equipment through the wireless communication module II, inquiring the grade score and evaluation of the health mental data of the user, and enabling the user or doctor to inquire the health mental data in real time.
The doctor consultant terminal equipment comprises a second display screen and a third wireless communication module. The doctor advisor terminal device is preferably a terminal device such as a mobile phone or a tablet computer. And the wireless communication module III is used for sending and receiving related data to the outside. And the third wireless communication module can carry out data communication with the second wireless communication module. The wireless communication module can send inquiry instructions to the outside and receive data such as grade grading and evaluation of the health mental data. And the second display screen displays the data such as the grade grading and evaluation of the health mental data. The doctor consultant terminal equipment can check and analyze health mental data and the like of the user through the cloud server, and can communicate and exchange with the user terminal equipment in real time through the cloud server to guide and guarantee mental health of the user.
The steps of the intelligent mental analysis and evaluation method based on the human body characteristic data are introduced as follows:
1) acquiring an acquired human body electrocardiosignal, calculating the area of a QRS wave in an electrocardio waveform, extracting an electric signal, and carrying out Fourier transform on the electric signal to acquire a respiratory base frequency; extracting the wave peak of the electrocardio R wave to obtain an RR interval signal, wherein the time interval of the middle points of adjacent signals is T (second); calculating an instantaneous heart rate F (times/min) according to the RR interval signals; and carrying out Fourier transformation according to the instantaneous heart rate F to obtain an instantaneous heart rate power spectrum.
Wherein, the instantaneous heart rate F is 60/T;
2) combining the respiratory fundamental frequency and instantaneous heart rate power spectrum obtained in the step 1), calculating low-frequency band power, high-frequency band power and proportion of characteristic parameters of a mental system based on a floating frequency band method, and performing time domain and nonlinear analysis, namely heart rate variability analysis, on a short-time sequence of the characteristic parameters of the mental system; and calculating the short-term mental index according to normal values corresponding to different age groups of the total standard deviation SDNN.
3) And (3) obtaining a periodic mental state score by data mining in combination with the short-term mental index sample set obtained in the step 2), wherein the specific steps of the data mining are as follows:
inputting mental index sample set A ═ x1,x2,...xmH, a clustered cluster tree k, a maximum iteration number N, and an output cluster division C ═ C1,C2,...Ck}；
(1) Randomly select k samples from the mental index sample set a as the initial k centroid vectors: { mu. }1,μ2,...,μk}；
(2) N for N1, 2,. N;
a. initializing cluster partitioning C to
Wherein t is 1,2..k；
b. For i 1,2.. m, sample x is calculatediAnd the respective centroid vector μ j (j ═ 1,2.. k):
dijx is | | xi- μ j | |22iMinimum mark is dijCorresponding class λi(ii) a Then update Cλi＝Cλi∪{xi}。
c. For j 1,2, k, pair CjRecalculate new centroid for all sample points in the image
d. If all k centroid vectors have not changed, go to step c.
(3) Output cluster partitioning C ═ C1,C2,...Ck}。
(4) And obtaining a corresponding mental state score according to the obtained SDNN.
4) Matching the relevant data of the human health with corresponding scores according to a preset rule by combining the acquired mental state scores; and generating good, medium and poor personalized evaluation and interpretation according to the corresponding scores.
The preset rule is specifically as follows: evaluation according to mental state is mainly divided into three types: strain capacity, degree of relaxation and degree of fatigue.
(1) State of strain capacity and evaluation:
(2) relaxation status and evaluation:
(3) fatigue degree state and evaluation:
compared with a mental analysis and evaluation system in the prior art, the intelligent mental analysis and evaluation system based on the human body characteristic data not only analyzes and acquires a single heart rate variability signal, but also continuously detects a electrocardiosignal and integrates the data, and a periodic mental state is effectively obtained by data mining on an integrated data set; the mental state can be more comprehensively and accurately evaluated by matching the comprehensive state data such as sleep, exercise and the like through corresponding rules.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Claims (10)
1. An intelligent mental analysis and evaluation method based on human body characteristic data is characterized in that:
step 1): acquiring a collected human body electrocardiosignal, and calculating to obtain a respiratory base frequency and an instantaneous heart rate power spectrum based on the human body electrocardiosignal;
step 2): calculating characteristic parameters of a mental system based on a floating frequency band method by combining the respiratory fundamental frequency and the instantaneous heart rate power spectrum obtained in the step 1), and analyzing the heart rate variability of the characteristic parameters of the mental system; calculating to obtain a short-term mental index according to corresponding normal values of the SDNN in different age groups;
step 3): obtaining a periodic mental state score through data mining according to the sample set of the short-term mental index obtained in the step 2); the data mining is to input mental index sample set A ═ x1,x2,...xmH, a clustered cluster tree k, a maximum iteration number N, and an output cluster division C ═ C1,C2,...Ck}；
Step 4): matching the human health data with corresponding scores according to preset rules according to the periodic mental state scores; and generating personalized evaluation and interpretation through the scores.
2. The intelligent mental analysis and evaluation method based on human body characteristic data according to claim 1, characterized in that: the specific steps of the data mining in the step 3) are as follows:
(1) randomly selecting k samples from the mental index sample set a as initial k centroid vectors: { mu. }1,μ2,...,μk}；
(2) N for N1, 2,. N;
a. initializing cluster partitioning C to
Wherein t is 1,2.. k;
b. for i 1,2.. m, sample x is calculatediAnd the respective centroid vector μ j (j ═ 1,2.. k): dijX is | | xi- μ j | |22iMinimum mark is dijCorresponding class λi(ii) a Then update Cλi＝Cλi∪{xi}；
c. For j 1,2, k, pair CjRecalculate new centroid for all sample points in the image
d. If all k centroid vectors have not changed, go to step c;
(3) output cluster partitioning C ═ C1,C2,...Ck}；
(4) And obtaining a corresponding mental state score according to the obtained SDNN.
3. The intelligent mental analysis and evaluation method based on human body characteristic data according to claim 1, characterized in that: in the step 1), calculating the area of a QRS wave in an electrocardiographic waveform according to the human body electrocardiosignals, extracting electric signals, and carrying out Fourier transform on the electric signals to obtain the respiratory fundamental frequency; extracting an electrocardio R wave peak to obtain an RR interval signal, wherein the time interval of the midpoints of adjacent signals is T; calculating an instantaneous heart rate F according to the RR interval signals; and carrying out Fourier transformation according to the instantaneous heart rate F to obtain an instantaneous heart rate power spectrum.
4. The intelligent mental analysis and evaluation method based on human body characteristic data according to claim 3, characterized in that: in the step 2), the mental system characteristic parameters are low-band power, high-band power and the proportion thereof; the heart rate variability analysis is to perform time domain and nonlinear analysis on the short-time series of the characteristic parameters of the mental system; the normal values corresponding to different age groups according to SDNN are: when the age is 18-29, the corresponding SDNN is 129.92-210.08; at an age of 30-49, corresponding to an SDNN of 115.52-180.21; when the age is 50-69, the corresponding SDNN is 91.28-150.46; at an age of 70 or more, the corresponding SDNN is 90.50 or less.
5. The intelligent mental analysis and evaluation method based on human body characteristic data according to claim 4, characterized in that: in the step 4), the preset rule evaluation according to the mental state comprises: strain capacity state and evaluation, relaxation degree state and evaluation, and fatigue degree state and evaluation.
6. A system of intelligent mental analysis and evaluation method based on human body characteristic data according to any one of claims 1-5, characterized in that: the system comprises human body characteristic data acquisition equipment, user terminal equipment and a cloud server; the human body characteristic data acquisition equipment is used for acquiring human body characteristic data of a user; the user terminal equipment is respectively in communication connection with the human body characteristic data acquisition equipment and the cloud server, receives the human body characteristic data and transmits the human body characteristic data to the cloud server; and after receiving the human body characteristic data, the cloud server performs storage, data analysis and calculation and outputs mental analysis and evaluation results of the user.
7. The intelligent psychoanalysis and evaluation system based on human feature data of claim 6, wherein: the human body characteristic data acquisition equipment comprises an optical sensor, an electrocardio detection sensor and a near field communication module I; the optical sensor outputs heart rate data according to the detected optical signal; the electrocardio detection sensor outputs motion data and body temperature data according to the detected electrocardio signals; and the first near field communication module sends the heart rate data, the movement data and the body temperature data to the user terminal equipment.
8. The intelligent psychoanalysis and evaluation system based on human feature data of claim 7, wherein: the user terminal equipment comprises a display screen I, a near field communication module II and a wireless communication module I; the near field communication module II is in data communication with the near field communication module I and is used for receiving the human body electrocardiosignals and displaying the human body electrocardiosignals through the display screen I; the first wireless communication module is used for sending and receiving data to the outside; and the first wireless communication module sends the human body electrocardiosignals and the identity information data of the user to the cloud server.
9. The intelligent psychoanalysis and evaluation system based on human feature data of claim 8, wherein: the cloud server comprises a storage module, an inquiry module, a calculation analysis module and a wireless communication module II; the wireless communication module II is used for sending and receiving data to the outside; the second wireless communication module is in data communication with the first wireless communication module; the second wireless communication module receives the human body electrocardiosignals and the identity information data of the user; the storage module is used for storing the human body electrocardiosignals and the identity information data of the user; the calculation analysis module is used for calculating and analyzing the human body electrocardiosignals and calculating sleep data, motion data, circadian rhythm and environment data; the sleep data are obtained by calculating basic sleep data through a threshold algorithm of an accelerometer and screening combined data of the heart rate data and the basic sleep data; calculating the motion data to obtain basic motion data through a threshold algorithm of an accelerometer, and filtering the basic motion data through combined data of the heart rate data and the basic motion data; the circadian rhythm is calculated in real time according to the heart rate difference between night and day by the heart rate data all day long; comparing the sleep data, the movement data, the circadian rhythm and the environmental data with corresponding threshold values, and finally outputting the grade scores and the evaluations of the health mental data of the user; the query module is used for receiving a query instruction and querying the grade scores and the evaluations of the health mental data.
10. Use of the system of any one of claims 6-9 for human intelligent mental analysis and evaluation.
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