CN113035371A - Self-service remote intelligent psychological diagnosis and treatment system and method - Google Patents
Self-service remote intelligent psychological diagnosis and treatment system and method Download PDFInfo
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Abstract
The invention discloses a self-service remote intelligent psychological diagnosis and treatment system and a method in the technical field of intelligent medical treatment. The system cloud provides an artificial intelligent diagnosis and treatment function, the resident who sees a doctor can use the simple self-service terminal of the system for home self-service diagnosis and on-line doctor finding and diagnosis, and meanwhile, data in the diagnosis and treatment process is fully utilized and a case diagnosis algorithm and parameters can be continuously improved. The system and the method provide a technical scheme for solving the resource shortage of psychologists, are beneficial to screening mild psychological symptoms of the residents in the clinic, and are beneficial to reducing the cost of the special equipment for psychological diagnosis and treatment.
Description
Technical Field
The invention relates to the technical field of intelligent medical treatment, in particular to a self-service remote intelligent psychological diagnosis and treatment system and a method.
Background
With the accelerated pace of life and the increased working pressure of modern residents, a considerable proportion of residents suffer from mental symptoms such as insomnia, depression, autism, anxiety and the like, and the psychological diagnosis and treatment of the light and moderate symptoms occupies a large amount of medical resources. The current intelligent medical technology related to psychological diagnosis and treatment mainly comprises the following steps: an enterprise development APP platform receives a diagnosis or guides a patient to see a diagnosis on line by utilizing a platform of a large-scale Internet service provider; under the online condition, through multimedia technologies such as 3D, VR and the like, a spinning, a catharsis system, a sand table system and an artificial intelligence diagnosis and treatment auxiliary system are developed, and diagnosis and treatment are conducted under the guidance of a psychologist. But still have the following defects: although residents can obtain diagnosis and treatment services at home through the online enterprise diagnosis and treatment platform, privacy is guaranteed, the residents still need to rely on psychologists to perform online sitting diagnosis, and the current situation of resource shortage of the psychologists is not solved; the offline auxiliary system needs to be carried out under the guidance of a psychologist, data and effects of the diagnosis and treatment process depend on manual records of the psychologist, automatic and continuous updating cannot be achieved, working efficiency is low, and diagnosis and treatment data cannot be effectively utilized; the auxiliary diagnosis and treatment system with the artificial intelligence technology needs a high-performance processor, is expensive, has high maintenance cost and does not have the conditions of popularization and use.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a self-service remote intelligent psychological diagnosis and treatment system and a method thereof, wherein the cloud of the system provides an artificial intelligent diagnosis and treatment function, a resident who sees a doctor can use a simple self-service terminal of the system for home self-service diagnosis and on-line doctor finding and diagnosis, and data in the diagnosis and treatment process is fully utilized and a case diagnosis algorithm and parameters can be continuously improved. The system and the method provide a technical scheme for solving the resource shortage of psychologists, are beneficial to screening mild psychological symptoms of the residents in the clinic, and are beneficial to reducing the cost of the special equipment for psychological diagnosis and treatment.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a self-service remote intelligent psychological diagnosis and treatment system and a method thereof comprise a self-service psychological diagnosis and treatment terminal and a remote intelligent psychological diagnosis and treatment system cloud end, wherein the remote intelligent psychological diagnosis and treatment system cloud end comprises a data receiving module, a data preprocessing module, a system maintenance module, a remote expert service module, an artificial intelligent processing module, a data access module, a resource library, a diagnosis and treatment report module and a test case synchronization module, the output end of the data receiving module is respectively connected with the input end of the data preprocessing module and the input end of the remote expert service module, the output end of the data preprocessing module is connected with the input end of an artificial intelligent processor, the remote expert service module is in bidirectional connection with the artificial intelligent processing module, the output end of the artificial intelligent processing module is respectively connected with the input end of the diagnosis and treatment report module and the input end of the test case synchronization module, the system comprises a remote expert service module, an artificial intelligence processing module, a data access module, a system maintenance module, a data access module and a resource library, wherein the remote expert service module is connected with the data access module in a two-way mode, the artificial intelligence processing module is connected with the data access module in a two-way mode, the system maintenance module is connected with the data access module in a two-way mode, and the data access module is connected with the resource library in a.
Preferably, the self-service psychological diagnosis and treatment terminal comprises a multimedia interaction module, a human physiological data acquisition module, a remote expert service scheduling module, a self-service diagnosis and treatment service scheduling module, a data acquisition scheduling service module and a communication module, wherein the multimedia interaction module is respectively in bidirectional connection with the remote expert service scheduling module and the self-service diagnosis and treatment service scheduling module, the remote expert service scheduling module is in bidirectional connection with the communication module, the self-service diagnosis and treatment service scheduling module is in bidirectional connection with the communication module, the output end of the human physiological data acquisition module is connected with the input end of the communication module, and the data acquisition scheduling service module is in bidirectional connection with the communication module.
Preferably, the multimedia interaction module comprises a touch sub-module, a voice sub-module, a video sub-module, a display sub-module and a test case cache sub-module.
Preferably, the human physiological data acquisition module comprises an electrocardio-heart rate and body temperature flexible sensor submodule and an electroencephalogram flexible sensor submodule.
Preferably, the remote expert service module comprises a psychologist information maintenance submodule, a diagnosis and treatment information query submodule, a diagnosis and treatment operation maintenance submodule and a diagnosis and treatment report submodule.
Preferably, the artificial intelligence processing module comprises an image recognition sub-module, a face recognition sub-module, a behavior recognition sub-module, an intelligent voice sub-module, a physiological characteristic recognition sub-module, a mental health reasoning analysis sub-module and a business cooperation processing sub-module.
Preferably, the resource library comprises a psychological diagnosis and treatment multimedia test case library, diagnosis and treatment user information data, diagnosis and treatment user audio and video data, diagnosis and treatment user human body physiological data and a mental case diagnosis algorithm library, and the content stored in the psychological diagnosis and treatment multimedia test case library is an audio and video file capable of inducing emotion of diagnosis and treatment residents to change.
The invention also discloses a self-service remote intelligent psychological diagnosis and treatment method, which comprises the following steps:
s1, when a resident in a clinic uses the self-service psychological diagnosis and treatment terminal to perform diagnosis and treatment, the multimedia interaction module provides interaction functions of the resident in the clinic and the terminal, the multimedia interaction module comprises a touch control submodule for providing a manual operation function, a voice submodule for providing a voice data acquisition function and a loudspeaker function, a video submodule for providing a video data acquisition and monitoring function, a display submodule for providing a system display interaction information function and a test case cache submodule for storing diagnosis and treatment test cases, the human physiological data acquisition module provides a human physiological index data acquisition function, the electrocardio, heart rate and body temperature flexible sensor submodule provides a function of acquiring electrocardio, heart rate and body temperature data of a human body, and the electroencephalogram flexible sensor submodule provides a function of acquiring electroencephalogram;
s2, when the resident in the clinic uses the self-service psychological diagnosis and treatment terminal to request the remote expert service, the multimedia interaction module starts the remote expert service scheduling module, the request is sent to the cloud end of the remote intelligent psychological diagnosis and treatment system through the communication module, and the data receiving module schedules the remote expert service module after recognizing the remote expert service request, so that the online diagnosis and treatment service is realized;
s3, in the diagnosis and treatment process, a psychologist can send a scheduling data acquisition scheduling service module instruction to a self-service psychology diagnosis and treatment terminal through a diagnosis and treatment operation maintenance submodule, resident voices of a patient to be diagnosed are collected in real time, videos, electrocardios, heart rates, body temperatures and electroencephalogram data, the collected data are transmitted to a cloud of a remote intelligent psychology diagnosis and treatment system through a communication module, a data receiving module directly transmits the voices, the videos, the electrocardios, the heart rates and the body temperatures to a data preprocessing module for caching and preprocessing, the data preprocessing module outputs the data to an artificial intelligent processing module for processing, and the artificial intelligent processing module performs the following operations: the image recognition sub-module recognizes the image of the image data frame by frame, and the face recognition sub-module recognizes various expression data of happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; the behavior recognition submodule recognizes the action in the video data; the intelligent voice sub-module identifies emotion changes of the voice data; the physiological characteristic identification submodule identifies electrocardio, heart rate, body temperature and electroencephalogram data; the mental health reasoning and analyzing submodule calls the algorithm and the parameters of a mental case diagnosis algorithm library of the resource library through the data access module, and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report; the service cooperation processing submodule synchronously stores recognized voice, video, electrocardio, heart rate, body temperature, electroencephalogram data and diagnosis and treatment reports in a resource library through a data access module, the data are stored according to diagnosis user audio and video data, diagnosis and treatment user human body physiological data and diagnosis and treatment user information data in a classified mode, a psychologist checks the comprehensive diagnosis analysis process and the diagnosis result of the mental health reasoning analysis submodule on the resident to be diagnosed in real time through the diagnosis and treatment operation maintenance submodule, professional diagnosis opinions are added through the diagnosis and treatment report submodule to form the diagnosis and treatment reports, the diagnosis and treatment reports are pushed to the self-service psychological diagnosis and treatment terminal through the diagnosis and treatment report submodule, the diagnosis and treatment reports are transmitted to the remote expert service scheduling module through the communication module and then transmitted to the display submodule of the multimedia interaction module, and;
s4, when serving the resident, the psychologist selects a specific test case to send to the resident according to the actual disease condition of the resident, during diagnosis, the psychologist calls a business cooperation processing submodule of the artificial intelligent processing module through a diagnosis operation maintenance submodule of the remote expert service module, selects the content of a psychological diagnosis multimedia test case library of a resource library through a data access module, transmits the content to the self-service psychological diagnosis terminal through the test case synchronization module, transmits the content to the remote expert service scheduling module through the communication module of the self-service psychological diagnosis terminal, and updates the test case content of the test case cache submodule of the multimedia interaction module;
s5, when the resident of the doctor uses the self-service psychological diagnosis and treatment terminal to conduct self-service diagnosis and treatment, the resident of the doctor interacts with the test cases of the test case cache submodule through the multimedia interaction module, the self-service diagnosis and treatment service scheduling module checks whether the test cases of the test case cache submodule are updated or not, and if the test cases need to be updated, the updating request is sent to the cloud end of the remote intelligent psychological diagnosis and treatment system through the communication module. At the cloud end of the remote intelligent psychological diagnosis and treatment system, a data receiving module identifies an updating request, a data preprocessing module directly sends the updating request to a business cooperation processing submodule of an artificial intelligent processing module, the contents of a psychological diagnosis and treatment multimedia test case library of a resource library are extracted through a data access module, the contents of the psychological diagnosis and treatment multimedia test case library are sent to a self-service psychological diagnosis and treatment terminal through a test case synchronization module, the contents of the test case are sent to a self-service psychological diagnosis and treatment service scheduling module through a communication module, and finally the contents of the test case of a test case;
s6, when the resident who visits the doctor uses the self-service psychological diagnosis and treatment terminal to conduct self-service diagnosis and treatment, the resident who visits the doctor interacts with the test case of the test case cache submodule through the multimedia interaction module, the self-service diagnosis and treatment service scheduling module calls the data acquisition scheduling service module to start voice and video data acquisition, and calls the human body physiological data acquisition module to start the resident who visits the doctor to acquire electrocardio, heart rate, body temperature and electroencephalogram data, the acquired data are transmitted to the cloud end of the remote intelligent psychological diagnosis and treatment system through the communication module, the data receiving module identifies self-service, the voice, the video, the electrocardio, the heart rate, the body temperature and the electroencephalogram data are transmitted to the data preprocessing module to be cached and preprocessed, and the data of the data preprocessing module are output to the artificial. The artificial intelligence processing module will do the following: the image recognition sub-module recognizes the image of the image data frame by frame, and the face recognition sub-module recognizes various expression data of happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; the behavior recognition submodule recognizes the action in the video data; the intelligent voice sub-module identifies emotion changes of the voice data; the physiological characteristic identification submodule identifies electrocardio, heart rate, body temperature and electroencephalogram data; the mental health reasoning and analyzing submodule calls the algorithm and the parameters of a mental case diagnosis algorithm library of the resource library through the data access module, and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report of the residents in the clinic; the service cooperation processing submodule synchronously stores recognized voice, video, electrocardio, heart rate, body temperature and electroencephalogram data and diagnosis and treatment reports of the residents in the clinic into a resource library through a data access module, the data are stored according to diagnosis and treatment user audio and video data, diagnosis and treatment user human body physiological data and diagnosis and treatment user information data in a classified mode, a mental health reasoning analysis submodule of the artificial intelligent processing module continuously optimizes and updates mental case diagnosis algorithms and parameters according to the three types of data, diagnosis precision is improved, finally the diagnosis and treatment reporting module pushes the diagnosis and treatment reports to a self-service psychological diagnosis and treatment terminal, the diagnosis and treatment reports are transmitted to a self-service diagnosis and treatment service scheduling module through a communication module and then transmitted to a display submodule, and the residents in the clinic can see diagnosis results in time;
s7, system maintenance personnel can use a system maintenance module of the cloud of the remote intelligent psychological diagnosis and treatment system to maintain the system, a psychological diagnosis and treatment multimedia test case library, diagnosis and treatment user information data, diagnosis and treatment user audio and video data, diagnosis and treatment user human body physiological data and mental case diagnosis algorithm library content of a resource library are maintained through a data access module, and the content stored in the psychological diagnosis and treatment multimedia test case library is an audio and video file capable of inducing the emotion of diagnosis and treatment residents to change.
(III) advantageous effects
The invention also discloses a self-service remote intelligent psychological diagnosis and treatment system and a method, which have the following beneficial effects:
(1) the self-service psychological diagnosis and treatment terminal used by the self-service remote intelligent psychological diagnosis and treatment system and the self-service psychological diagnosis and treatment method can be a customized highly integrated terminal hardware product and comprises a multimedia interaction module, a human body physiological data acquisition module, a remote expert service scheduling module, a self-service diagnosis and treatment service scheduling module, a data acquisition scheduling service module and a communication module, wherein the multimedia interaction module is respectively in bidirectional connection with the remote expert service scheduling module and the self-service diagnosis and treatment service scheduling module, the remote expert service scheduling module is in bidirectional connection with the communication module, the self-service diagnosis and treatment service scheduling module is in bidirectional connection with the communication module, the output end of the human body physiological data acquisition module is connected with the input end of the communication module, and the data acquisition scheduling service module is in bidirectional connection with the; the system also can be a notebook computer, a tablet computer and a virtual reality terminal which are added with a human body physiological data acquisition module, and a remote expert service scheduling module, a self-service diagnosis and treatment service scheduling module and data acquisition scheduling service module function software are arranged in the system. The self-service psychological diagnosis and treatment terminal provides two diagnosis and treatment modes of remote expert service and self-service. When the diagnosis and treatment residents use the remote expert service diagnosis and treatment mode, the system can communicate with psychologists in time, and the diagnosis efficiency is improved; when the self-service diagnosis and treatment mode is used, the patients with mild and moderate symptoms can conveniently and timely perform self psychological health assessment and diagnosis and treatment, and the patients can see a doctor without going to a hospital, so that the occupation of psychological doctor resources is reduced;
(2) the cloud end of the remote intelligent psychological diagnosis and treatment system comprises a data receiving module, a data preprocessing module, a system maintenance module, a remote expert service module, an artificial intelligent processing module, a data access module, a resource library, a diagnosis and treatment report module and a test case synchronization module, wherein the output end of the data receiving module is respectively connected with the input end of the data preprocessing module and the input end of the remote expert service module, the output end of the data preprocessing module is connected with the input end of an artificial intelligent processor, the remote expert service module is in bidirectional connection with the artificial intelligent processing module, the output end of the artificial intelligent processing module is respectively connected with the input end of the diagnosis and treatment report module and the input end of the test case synchronization module, and the remote expert service module is in bidirectional connection with the data access module, the system comprises an artificial intelligence processing module, a data access module, a system maintenance module, a data access module, a resource library, a self-service psychological diagnosis and treatment terminal, a database, a diagnosis and treatment report and a mental case diagnosis algorithm and parameter updating module.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a functional block diagram of a multimedia interaction module;
FIG. 3 is a schematic block diagram of a human physiological data acquisition module;
FIG. 4 is a functional block diagram of a remote expert service module;
FIG. 5 is a schematic block diagram of an artificial intelligence processing module.
In the figure, 1, a self-service psychological diagnosis and treatment terminal; 11. a multimedia interaction module 11; 111. touch sub-module; 112. a voice input sub-module; 113. a video input sub-module; 114. a display sub-module; 115. a test case cache submodule; 12. a human body physiological data acquisition module; 121. an electrocardio-heart rate and body temperature flexible sensor sub-module; 122. an electroencephalogram flexibility sensor sub-module 122; 13. a remote expert service scheduling module; 14. a self-service diagnosis and treatment service scheduling module; 15. a data acquisition scheduling service module; 16. a communication module; 2. a cloud of a remote intelligent psychological diagnosis and treatment system; 21. a data receiving module; 22. a data preprocessing module; 23. a system maintenance module; 24. a remote expert service module; 241. a psychologist information maintenance submodule; 242. a diagnosis and treatment information query submodule; 243. a diagnosis and treatment operation maintenance submodule; 244. a diagnosis and treatment report submodule; 25. an artificial intelligence processing module; 251. an image recognition sub-module; 252. a face recognition sub-module; 253. a behavior identifier sub-module; 254. an intelligent voice submodule; 255. a physiological characteristic identification submodule; 256. a mental health reasoning analysis submodule; 257. a business cooperation processing submodule; 26. a data access module; 27. a resource pool; 28. a diagnosis and treatment report module; 29. and a test case synchronization module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 2, fig. 3, fig. 4, and fig. 5, an embodiment of the present invention provides a technical solution: a self-service remote intelligent psychological diagnosis and treatment system and a method thereof, comprising a self-service psychological diagnosis and treatment terminal 1 and a remote intelligent psychological diagnosis and treatment system cloud 2, wherein the self-service psychological diagnosis and treatment terminal 1 and the remote intelligent psychological diagnosis and treatment system cloud 2 are bidirectionally connected through a wireless communication network, the remote intelligent psychological diagnosis and treatment system cloud 2 comprises a data receiving module 21, a data preprocessing module 22, a system maintenance module 23, a remote expert service module 24, an artificial intelligent processing module 25, a data access module 26, a resource library 27, a diagnosis and treatment report module 28 and a test case synchronization module 29, the output end of the data receiving module 21 is respectively connected with the input end of the data preprocessing module 22 and the input end of the remote expert service module 24, the output end of the data preprocessing module 22 is connected with the input end of the artificial intelligent processing module 25, the remote expert service module 24 is bidirectionally connected with the artificial intelligent processing module 25, the output end of the artificial intelligence processing module 25 is respectively connected with the input end of the diagnosis and treatment report module 28 and the input end of the test case synchronization module 29, the remote expert service module 24 and the data access module 26 are connected in a bidirectional mode, the artificial intelligence processing module 25 and the data access module 26 are connected in a bidirectional mode, the system maintenance module 23 and the data access module 26 are connected in a bidirectional mode, and the data access module 26 and the resource library 27 are connected in a bidirectional mode.
In the invention, the self-service psychology diagnosis and treatment terminal 1 comprises a multimedia interaction module 11, a human body physiological data acquisition module 12, a remote expert service scheduling module 13, a self-service diagnosis and treatment service scheduling module 14, a data acquisition scheduling service module 15 and a communication module 16, wherein the multimedia interaction module 11 is respectively in bidirectional connection with the remote expert service scheduling module 13 and the self-service diagnosis and treatment service scheduling module 14, the remote expert service scheduling module 13 is in bidirectional connection with the communication module 16, the self-service diagnosis and treatment service scheduling module 14 is in bidirectional connection with the communication module 16, the output end of the human body physiological data acquisition module 12 is connected with the input end of the communication module 16, and the data acquisition scheduling service module 15 is in bidirectional connection with the communication module 16.
In the present invention, the multimedia interaction module 11 includes a touch sub-module 111, a voice sub-module 112, a video sub-module 113, a display sub-module 114, and a test case buffer sub-module 115.
In the invention, the human physiological data acquisition module 12 comprises an electrocardio-heart rate and body temperature flexible sensor submodule 121 and an electroencephalogram flexible sensor submodule 122.
In the present invention, the remote expert service module 24 includes a psychologist information maintenance submodule 241, a diagnosis and treatment information query submodule 242, a diagnosis and treatment operation maintenance submodule 243, and a diagnosis and treatment report submodule 244.
In the present invention, the artificial intelligence processing module 25 includes an image recognition sub-module 251, a face recognition sub-module 252, a behavior recognition sub-module 253, an intelligent voice sub-module 254, a physiological characteristic recognition sub-module 255, a mental health reasoning analysis sub-module 256, and a business cooperation processing sub-module 257.
In the invention, the resource library 27 comprises a psychological diagnosis and treatment multimedia test case library 271, diagnosis and treatment user information data 272, diagnosis and treatment user audio and video data 273, diagnosis and treatment user human body physiological data 274 and a mental case diagnosis algorithm library 275, wherein the content stored in the psychological diagnosis and treatment multimedia test case library 271 is an audio and video file capable of inducing the emotion of diagnosis and treatment residents to change.
The invention also discloses a self-service remote intelligent psychological diagnosis and treatment method, which specifically comprises the following steps:
s1, when a resident in a clinic uses the self-service psychological diagnosis and treatment terminal 1 for diagnosis and treatment, the multimedia interaction module 11 provides interaction functions of the resident in the clinic and the terminal, the multimedia interaction module comprises a touch sub-module 111 for providing a manual operation function, a voice sub-module 112 for providing a voice data acquisition and loudspeaker function, a video sub-module 113 for providing a video data acquisition and monitoring function, a display sub-module 114 for providing a system display interaction information function, a test case cache sub-module 115 for providing a diagnosis and treatment test case storage function, a human physiological data acquisition module 12 for providing a human physiological index data acquisition function, an electrocardio, heart rate and body temperature flexible sensor sub-module 121 for providing a function of acquiring electrocardio, heart rate and body temperature data of a human body, and an;
s2, when the resident in the clinic uses the self-service psychological diagnosis and treatment terminal 1 to request the remote expert service, the multimedia interaction module 11 starts the remote expert service scheduling module, the request is sent to the cloud end 2 of the remote intelligent psychological diagnosis and treatment system through the communication module 16, and the data receiving module 21 identifies the remote expert service request and then schedules the remote expert service module 24 to realize the online diagnosis and treatment service;
s3, in the diagnosis process, the psychologist can send out the instruction of the scheduling data acquisition scheduling service module 15 to the self-service psychology diagnosis and treatment terminal 1 through the diagnosis and treatment operation maintenance submodule 243, collect voices of residents in the clinic in real time, video, electrocardio, heart rate, body temperature, and electroencephalogram data, the collected data are transmitted to the cloud 2 of the remote intelligent psychology diagnosis and treatment system through the communication module 16, the data receiving module 21 directly transmits the voices, the video, the electrocardio, the heart rate, the body temperature, and the electroencephalogram data to the data preprocessing module 22 for caching and preprocessing, the data preprocessing module 22 outputs the data to the artificial intelligent processing module 25 for processing, and the artificial intelligent processing module 25 performs the following operations: the image recognition submodule 251 recognizes the image of the image data frame by frame, and the face recognition submodule 252 recognizes 21 kinds of expression data including happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; the behavior recognition sub-module 253 recognizes the action in the video data; the intelligent voice sub-module 254 recognizes emotional changes of the voice data; the physiological characteristic identification submodule 255 identifies the electrocardiographic data, the heart rate data, the body temperature data and the electroencephalogram data; the mental health reasoning and analyzing submodule 256 calls the algorithm and the parameter of the mental case diagnosis algorithm library 275 of the resource library 27 through the data access module 26, and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report; the business cooperation processing submodule 257 synchronously stores the recognized voice, video, electrocardio, heart rate, body temperature, electroencephalogram data and diagnosis and treatment reports in the resource library 27 through the data access module 26, and the data are stored in a classified manner according to the audio and video data 273 of the diagnosis and treatment user, the human body physiological data 274 of the diagnosis and treatment user and the information data 272 of the diagnosis and treatment user. The psychologist checks the comprehensive diagnosis analysis process and the diagnosis result of the mental health reasoning analysis submodule 256 for the resident who visits in real time through the diagnosis and treatment operation maintenance submodule 243, adds the professional diagnosis opinions through the diagnosis and treatment report submodule 244 to form a diagnosis and treatment report, the diagnosis and treatment report is pushed to the self-service psychology diagnosis and treatment terminal 1 through the diagnosis and treatment report submodule 28, the diagnosis and treatment report is transmitted to the remote expert service scheduling module 13 through the communication module 16 and then transmitted to the display submodule 114 of the multimedia interaction module 11, and the resident who visits in time can see the diagnosis result;
s4, when the psychologist uses the cloud (2) of the remote intelligent psychological diagnosis and treatment system to serve the resident for the doctor, can select a specific test case to be sent to the resident for testing according to the actual patient condition of the resident for treatment, in the diagnosis and treatment process, a psychologist calls a business cooperation processing submodule (257) of an artificial intelligence processing module (25) through a diagnosis and treatment operation maintenance submodule (243) of a remote expert service module (24), the content of a psychological diagnosis and treatment multimedia test case library (271) of a resource library (27) is selected through a data access module (26), transmitted to a self-service psychological diagnosis and treatment terminal (1) through a test case synchronization module (29), transmitted to a remote expert service scheduling module (13) through a communication module (16) of the self-service psychological diagnosis and treatment terminal (1), and updated by a test case cache submodule (115) of a multimedia interaction module (11);
s5, when the visiting resident uses the self-service psychological diagnosis terminal 1 to perform self-service diagnosis, the visiting resident interacts with the test case of the test case cache submodule 115 through the multimedia interaction module 11, the self-service diagnosis service scheduling module 14 checks whether the test case of the test case cache submodule 115 is updated, if the test case is updated, the update request is sent to the remote intelligent psychological diagnosis system cloud 2 through the communication module 16, the data receiving module 21 identifies the update request at the remote intelligent psychological diagnosis system cloud 2, the data preprocessing module 22 directly sends the update request to the business cooperation processing submodule 257 of the artificial intelligent processing module 25, the content of the psychological diagnosis multimedia test case library 271 of the resource library 27 is extracted through the data access module 26, the psychological diagnosis multimedia test case library is sent to the self-service psychological diagnosis terminal 1 through the test case synchronization module 29, and the content is sent to the self-service diagnosis service scheduling module 14 through the communication module 16, finally, the test case content of the test case cache submodule 115 is updated;
s6, when the resident in the clinic uses the self-service psychological diagnosis and treatment terminal 1 to perform self-service diagnosis and treatment, the resident in the clinic interacts with the test case of the test case cache submodule 115 through the multimedia interaction module 11, the self-service diagnosis and treatment service scheduling module 14 calls the data acquisition scheduling service module 15 to start the acquisition of voice and video data, and calls the human body physiological data acquisition module 12 to start the acquisition of electrocardio, heart rate, body temperature and electroencephalogram data of the resident in the clinic. The data of gathering pass through communication module 16 and convey to long-range intelligent psychology diagnosis and treatment system high in the clouds 2, and data receiving module 21 discerns self-service, and with pronunciation, video, electrocardio, rhythm of the heart, body temperature, brain electrical data conveying to data preprocessing module 22 and cache and preliminary treatment, data output of data preprocessing module 22 is to artificial intelligence processing module 25, and artificial intelligence processing module 25 will carry out following operation: the image recognition submodule 251 recognizes the image of the image data frame by frame, and the face recognition submodule 252 recognizes 21 kinds of expression data including happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; the behavior recognition sub-module 253 recognizes the action in the video data; the intelligent voice sub-module 254 recognizes emotional changes of the voice data; the physiological characteristic identification submodule 255 identifies the electrocardiographic data, the heart rate data, the body temperature data and the electroencephalogram data; the mental health reasoning and analyzing submodule 256 calls the algorithm and the parameter of the mental case diagnosis algorithm library 275 of the resource library 27 through the data access module 26, and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report of the residents in the clinic; the service cooperation processing submodule 257 synchronously stores the recognized voice, video, electrocardio, heart rate, body temperature, electroencephalogram data and diagnosis and treatment reports of the residents in the clinic into the resource library 27 through the data access module 26, the data are stored in a classified manner according to the audio and video data 273 of the treatment users, the human body physiological data 274 of the diagnosis and treatment users and the information data 272 of the diagnosis and treatment users, the mental health reasoning analysis submodule of the artificial intelligent processing module 25 continuously optimizes and updates the mental case diagnosis algorithm and parameters according to the three types of data, the diagnosis and treatment precision is improved, finally, the diagnosis and treatment reporting module 28 pushes the diagnosis and treatment reports of the residents to the self-service psychological diagnosis and treatment terminal 1, the diagnosis and treatment reports are transmitted to the self-service diagnosis and treatment scheduling module 14 through the communication module 16 and then transmitted to the display;
s7, a system maintainer can use the system maintenance module 23 of the remote intelligent psychological diagnosis and treatment system cloud 2 to perform maintenance service on the system, the data access module 26 is used for maintaining the contents of a psychological diagnosis and treatment multimedia test case library 271, diagnosis and treatment user information data 272, diagnosis and treatment user audio and video data 273, diagnosis and treatment user human body physiological data 274 and a mental case diagnosis algorithm library 275 of the resource library 27, and the contents stored in the psychological diagnosis and treatment multimedia test case library 271 are audio and video files capable of inducing the emotion of diagnosis and treatment residents to change.
It is noted that, herein, relational terms such as first, second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, without further limitation, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a self-service long-range intelligent psychology system of diagnosing, includes self-service psychology diagnosis terminal (1), long-range intelligent psychology system high in the clouds (2), self-service psychology diagnosis terminal (1) and long-range intelligent psychology system high in the clouds (2) realize the both way junction between through wireless communication network, its characterized in that: the remote intelligent psychological diagnosis and treatment system cloud end (2) comprises a data receiving module (21), a data preprocessing module (22), a system maintenance module (23), a remote expert service module (24), an artificial intelligent processing module (25), a data access module (26), a resource library (27), a diagnosis and treatment report module (28) and a test case synchronization module (29), wherein the output end of the data receiving module (21) is connected with the input end of the data preprocessing module (22) and the input end of the remote expert service module (24), the output end of the data preprocessing module (22) is connected with the input end of the artificial intelligent processing module (25), bidirectional connection is realized between the remote expert service module (24) and the artificial intelligent processing module (25), and the output end of the artificial intelligent processing module (25) is connected with the input end of the diagnosis and treatment report module (28) respectively, The input end of the test case synchronization module (29) is connected, the remote expert service module (24) is in bidirectional connection with the data access module (26), the artificial intelligence processing module (25) is in bidirectional connection with the data access module (26), the system maintenance module (23) is in bidirectional connection with the data access module (26), and the data access module (26) is in bidirectional connection with the resource library (27).
2. The self-service remote intelligent psychological diagnosis and treatment system according to claim 1, characterized in that: the self-service psychological diagnosis and treatment terminal (1) comprises a multimedia interaction module (11), a human body physiological data acquisition module (12), a remote expert service scheduling module (13), a self-service diagnosis and treatment service scheduling module (14), a data acquisition scheduling service module (15) and a communication module (16), the multimedia interaction module (11) is respectively in bidirectional connection with the remote expert service dispatching module (13) and the self-service diagnosis and treatment service dispatching module (14), the remote expert service scheduling module (13) is connected with the communication module (16) in a bidirectional way, the self-service diagnosis and treatment service dispatching module (14) is in bidirectional connection with the communication module (16), the output end of the human body physiological data acquisition module (12) is connected with the input end of the communication module (16), the data acquisition scheduling service module (15) and the communication module (16) are in bidirectional connection.
3. The self-service remote intelligent psychological diagnosis and treatment system according to claim 2, characterized in that: the multimedia interaction module (11) comprises a touch sub-module (111), a voice sub-module (112), a video sub-module (113), a display sub-module (114) and a test case cache sub-module (115).
4. The self-service remote intelligent psychological diagnosis and treatment system according to claim 2, characterized in that: the human physiological data acquisition module (12) comprises an electrocardio-heart rate and body temperature flexible sensor submodule (121) and an electroencephalogram flexible sensor submodule (122).
5. The self-service remote intelligent psychological diagnosis and treatment system according to claim 1, characterized in that: the remote expert service module (24) comprises a psychologist information maintenance sub-module (241), a diagnosis and treatment information query sub-module (242), a diagnosis and treatment operation maintenance sub-module (243) and a diagnosis and treatment report sub-module (244).
6. The self-service remote intelligent psychological diagnosis and treatment system according to claim 1, characterized in that: the artificial intelligence processing module (25) comprises an image recognition sub-module (251), a face recognition sub-module (252), a behavior recognition sub-module (253), an intelligent voice sub-module (254), a physiological characteristic recognition sub-module (255), a mental health reasoning analysis sub-module (256) and a business cooperation processing sub-module (257).
7. The self-service remote intelligent psychological diagnosis and treatment system according to claim 1, characterized in that: the resource library (27) comprises a psychological diagnosis and treatment multimedia test case library (271), diagnosis and treatment user information data (272), diagnosis and treatment user audio-video data (273), diagnosis and treatment user human body physiological data (274) and a mental case diagnosis algorithm library (275), and the content stored in the psychological diagnosis and treatment multimedia test case library (271) is an audio-video file capable of inducing the emotion of diagnosis and treatment residents to change.
8. A self-service remote intelligent psychological diagnosis and treatment method is characterized in that: the method specifically comprises the following steps:
s1, when a resident with a doctor diagnoses by using a self-service psychological diagnosis and treatment terminal (1), a multimedia interaction module (11) provides interaction functions of the resident with the diagnosis and treatment terminal, and comprises a touch sub-module (111) for providing a manual operation function, a voice sub-module (112) for providing a voice data acquisition function and a loudspeaker function, a video sub-module (113) for providing a video data acquisition function and a monitoring function, a display sub-module (114) for providing a system display interaction information function, a test case cache sub-module (115) for providing a diagnosis and treatment test case storage function, a human physiological data acquisition module (12) for providing a human physiological index data acquisition function, and an electrocardio-heart-rate-body temperature flexible sensor sub-module (121) for providing a function of acquiring electrocardio, heart rate and body temperature data of a human body, and an electroencephalogram;
s2, when a resident who is diagnosed requests remote expert service by using the self-service psychological diagnosis and treatment terminal (1), a multimedia interaction module (11) starts a remote expert service scheduling module, a request is sent to a cloud (2) of a remote intelligent psychological diagnosis and treatment system through a communication module (16), and a data receiving module (21) schedules a remote expert service module (24) after recognizing the remote expert service request, so that online diagnosis and treatment service is realized;
s3, in the diagnosis and treatment process, a psychologist can send a dispatching data acquisition and dispatching service module (15) instruction to a self-service psychology diagnosis and treatment terminal (1) through a diagnosis and treatment operation maintenance submodule (243), resident voices of a patient are acquired in real time, video images, electrocardio, heart rate, body temperature and electroencephalogram data are acquired, the acquired data are transmitted to a cloud (2) of a remote intelligent diagnosis and treatment system through a communication module (16), the voice, the video images, the electrocardio, the heart rate, the body temperature and the electroencephalogram data are directly transmitted to a data preprocessing module (22) to be cached and preprocessed, the data preprocessing module (22) outputs the data to an artificial intelligent processing module (25) for processing, and the artificial intelligent processing module (25) performs the following operations: the image recognition sub-module (251) recognizes the image of the image data frame by frame, and the face recognition sub-module (252) recognizes 21 expression data of happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; a behavior recognition sub-module (253) recognizing the action in the video data; the intelligent voice submodule (254) identifies emotional changes of the voice data; the physiological characteristic identification submodule (255) identifies electrocardio, heart rate, body temperature and electroencephalogram data; the mental health reasoning and analyzing submodule (256) calls the algorithm and the parameter of a mental case diagnosis algorithm library (275) of the resource library (27) through the data access module (26), and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report; the service cooperation processing submodule (257) synchronously stores the recognized voice, video, electrocardio, heart rate, body temperature, electroencephalogram data and diagnosis and treatment reports in the resource library (27) through the data access module (26), the data are stored in a classification mode according to diagnosis and treatment user audio and video data (273), diagnosis and treatment user human body physiological data (274) and diagnosis and treatment user information data (272), a psychologist checks the comprehensive diagnosis and analysis process and the diagnosis result of the mental health reasoning and analysis submodule (256) to the residents who have a diagnosis in real time through the diagnosis and treatment operation maintenance submodule (243), professional diagnosis opinions are added through the diagnosis and treatment reporting submodule (244) to form the diagnosis and treatment reports, the diagnosis and treatment reports are pushed to the self-service psychological diagnosis and treatment terminal (1) through the diagnosis and treatment reporting module (28), transmitted to the expert service scheduling module (13) through the communication module (16) and then transmitted to the display submodule (114, the resident can see the diagnosis result in time;
s4, when the psychologist uses the cloud (2) of the remote intelligent psychological diagnosis and treatment system to serve the residents in the clinic, can select a specific test case to be sent to the resident for testing according to the actual patient condition of the resident for treatment, in the diagnosis and treatment process, a psychologist calls a business cooperation processing submodule (257) of an artificial intelligence processing module (25) through a diagnosis and treatment operation maintenance submodule (243) of a remote expert service module (24), the content of a psychological diagnosis and treatment multimedia test case library (271) of a resource library (27) is selected through a data access module (26), transmitted to a self-service psychological diagnosis and treatment terminal (1) through a test case synchronization module (29), transmitted to a remote expert service scheduling module (13) through a communication module (16) of the self-service psychological diagnosis and treatment terminal (1), and updated by a test case cache submodule (115) of a multimedia interaction module (11);
s5, when a resident with a doctor uses the self-service psychological diagnosis and treatment terminal (1) to perform self-service diagnosis and treatment, the resident with the doctor interacts with the test cases of the test case cache submodule (115) through the multimedia interaction module (11), the self-service diagnosis and treatment service scheduling module (14) checks whether the test cases of the test case cache submodule (115) are updated or not, if the test cases need to be updated, an update request is sent to the remote intelligent psychological diagnosis and treatment system cloud end (2) through the communication module (16), the data receiving module (21) identifies the update request at the remote intelligent psychological diagnosis and treatment system cloud end (2), the data preprocessing module (22) directly sends the update request to the business cooperation processing submodule (257) of the artificial intelligent processing module (25), and the content of the psychological diagnosis and treatment multimedia test case library (271) of the resource library (27) is extracted through the data access module (26), then the test case is sent to the self-service psychological diagnosis and treatment terminal (1) through the test case synchronization module (29), and is transmitted to the self-service diagnosis and treatment service scheduling module (14) through the communication module (16), and finally the test case content of the test case cache submodule (115) is updated;
s6, when the resident with a doctor uses the self-service psychological diagnosis and treatment terminal (1) to carry out self-service diagnosis and treatment, the resident with the doctor interacts with the test case of the test case cache submodule (115) through the multimedia interaction module (11), the self-service diagnosis and treatment service scheduling module (14) calls the data acquisition scheduling service module (15) to start the acquisition of voice and video data, and calls the human body physiological data acquisition module (12) to start the acquisition of the electrocardio, heart rate, body temperature and electroencephalogram data of the resident with the doctor, the acquired data is transmitted to the cloud (2) of the remote intelligent psychological diagnosis and treatment system through the communication module 16, the data receiving module (21) identifies self-service, the voice, the video, the electrocardio, the heart rate, the body temperature and the electroencephalogram data are transmitted to the data preprocessing module (22) to be cached and preprocessed, and the data of the data preprocessing module (22) are output to the artificial, the artificial intelligence processing module (25) will do the following: the image recognition sub-module (251) recognizes the image of the image data frame by frame, and the face recognition sub-module (252) recognizes (21) kinds of expression data of happiness, hurt, fear, anger, surprise, disgust and the like contained in the face; a behavior recognition sub-module (253) recognizing the action in the video data; the intelligent voice submodule (254) identifies emotional changes of the voice data; the physiological characteristic identification submodule (255) identifies electrocardio, heart rate, body temperature and electroencephalogram data; the mental health reasoning and analyzing submodule (256) calls the algorithm and the parameter of a mental case diagnosis algorithm library (275) of the resource library (27) through the data access module (26), and performs comprehensive diagnosis and analysis on the recognized electrocardio, heart rate, body temperature, electroencephalogram data, voice and video data to form a diagnosis and treatment report of the residents in the clinic; the service cooperation processing submodule (257) is used for processing the recognized voice, video, electrocardio, heart rate, body temperature and electroencephalogram data, and the clinic resident diagnosis and treatment reports are synchronously stored in a resource library (27) through a data access module (26), the data is stored according to the audio and video data (273) of the diagnosis and treatment user, the human body physiological data (274) of the diagnosis and treatment user and the information data (272) of the diagnosis and treatment user in a classified way, a mental health reasoning analysis submodule of the artificial intelligent processing module (25) continuously optimizes and updates the mental case diagnosis algorithm and parameters according to the three types of data, the diagnosis precision is improved, and finally, the diagnosis and treatment report module (28) pushes resident diagnosis and treatment reports to the self-service psychological diagnosis and treatment terminal (1), the resident diagnosis and treatment reports are transmitted to the self-service diagnosis and treatment service scheduling module (14) through the communication module (16) and then transmitted to the display sub-module (114), and the diagnosis result can be seen by the resident who sees the diagnosis in time;
s7, system maintenance personnel can use a system maintenance module (23) of the remote intelligent psychological diagnosis and treatment system cloud end (2) to maintain the system, a psychological diagnosis and treatment multimedia test case library (271) of a resource library (27), diagnosis and treatment user information data (272), diagnosis and treatment user audio and video data (273), diagnosis and treatment user human body physiological data (274) and contents of a mental case diagnosis algorithm library (275) are maintained through a data access module (26), and the contents stored in the psychological diagnosis and treatment multimedia test case library (271) are audio and video files capable of inducing emotion of diagnosis and treatment residents to change.
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