CN113611395B - Mental illness user auxiliary training method based on virtual reality technology - Google Patents
Mental illness user auxiliary training method based on virtual reality technology Download PDFInfo
- Publication number
- CN113611395B CN113611395B CN202110907740.3A CN202110907740A CN113611395B CN 113611395 B CN113611395 B CN 113611395B CN 202110907740 A CN202110907740 A CN 202110907740A CN 113611395 B CN113611395 B CN 113611395B
- Authority
- CN
- China
- Prior art keywords
- trainer
- training
- scene
- course
- treatment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012549 training Methods 0.000 title claims abstract description 156
- 238000000034 method Methods 0.000 title claims abstract description 30
- 208000020016 psychiatric disease Diseases 0.000 title claims abstract description 18
- 238000005516 engineering process Methods 0.000 title claims abstract description 15
- 238000011156 evaluation Methods 0.000 claims abstract description 92
- 208000024891 symptom Diseases 0.000 claims abstract description 72
- 230000003340 mental effect Effects 0.000 claims description 23
- 201000010099 disease Diseases 0.000 claims description 17
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 17
- 239000003814 drug Substances 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 11
- 230000008451 emotion Effects 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000006996 mental state Effects 0.000 claims description 9
- 230000002085 persistent effect Effects 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 8
- 230000000306 recurrent effect Effects 0.000 claims description 8
- 208000019622 heart disease Diseases 0.000 claims description 6
- 238000012806 monitoring device Methods 0.000 claims description 6
- 206010020772 Hypertension Diseases 0.000 claims description 5
- 208000002173 dizziness Diseases 0.000 claims description 5
- 230000000392 somatic effect Effects 0.000 claims description 5
- 229940079593 drug Drugs 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 239000008280 blood Substances 0.000 claims description 3
- 210000004369 blood Anatomy 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 3
- 210000004556 brain Anatomy 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 230000002996 emotional effect Effects 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 230000015556 catabolic process Effects 0.000 claims 2
- 230000002035 prolonged effect Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 description 8
- 238000011161 development Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000004424 eye movement Effects 0.000 description 2
- 230000009191 jumping Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000006461 physiological response Effects 0.000 description 2
- 238000009098 adjuvant therapy Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000000940 electromagnetic therapy Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000001356 surgical procedure Methods 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
- 230000008733 trauma Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Social Psychology (AREA)
- Bioethics (AREA)
- Psychology (AREA)
- Psychiatry (AREA)
- Hospice & Palliative Care (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Developmental Disabilities (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Child & Adolescent Psychology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a mental illness user auxiliary training method based on virtual reality technology, which comprises the following steps: s1, inputting information of a trainer, and judging whether the trainer is a retraining trainer by searching the existing database; if the training person is not the retraining trainer, inputting detailed information and updating the existing database; if the training person is a retraining trainer, acquiring previous detailed medical information of the trainer from the existing database by one key; s2, after receiving detailed information of the trainer, the operator carries out preliminary evaluation on the information of the trainer, and judges whether the trainer needs symptom evaluation or not; s3, when an operator judges that the trainer needs to carry out symptom evaluation, carrying out symptom evaluation on the trainer, after the symptom evaluation is completed, giving a corresponding evaluation report, and carrying out treatment course selection according to the evaluation report; s4, when the operator judges that the trainer does not need to evaluate, the operator directly selects the course of treatment.
Description
Technical Field
The invention relates to the field of clinical medicine mental training, in particular to a mental illness user auxiliary training method based on virtual reality technology.
Background
With the development of society, people live better and medical conditions are better, but with the development of society, more and more mental problems are caused. Various pressures of people are increasing at present, but the psychology can not timely and better solve or bear the pressures, and various heart diseases are formed after a long time.
Traditional mental therapeutic methods: intervention and treatment of mental disorders using means such as drug (chemicals) electroshock, electromagnetic therapy (physical media), surgical treatment (body trauma), etc.; or psychological consultation, behavior correction, cognitive training and the like are performed to intervene in mental and psychological activities, so that a trainer achieves the aim of relieving mental symptoms through speech communication and behavior specification; or a scale evaluation method: various scales evaluate mental activity; these methods of treatment do not allow accurate adjuvant therapy of the handler, and are long and have undesirable effects.
Disclosure of Invention
In order to solve the defects of the prior art, the invention aims to provide a mental illness user auxiliary training method based on virtual reality technology, which is used for forming a vivid scene through the virtual reality technology and performing immersive training through various perceptions.
In order to achieve the above object, the present invention adopts the following technical scheme:
The mental illness user auxiliary training method based on the virtual reality technology comprises the following steps: s1, inputting information of a trainer, and judging whether the trainer is a retraining trainer by searching the existing database; if the training person is not the retraining trainer, inputting detailed information and updating the existing database; if the training person is a retraining trainer, acquiring previous detailed medical information of the trainer from the existing database by one key; s2, after receiving detailed information of the trainer, the operator carries out preliminary evaluation on the information of the trainer, and judges whether the trainer needs symptom evaluation or not; s3, when an operator judges that the trainer needs to carry out symptom evaluation, carrying out symptom evaluation on the trainer, after the symptom evaluation is completed, giving a corresponding evaluation report, and carrying out treatment course selection according to the evaluation report; s4, when the operator judges that the trainer does not need to evaluate, the operator directly selects the course of treatment; s5, judging whether the training person is a training person, if so, recommending an archiving course, and adjusting the archiving course by an operator according to self description of the training person; if the training person is not the retraining trainer, the database recommends a proper course of treatment according to the trainer information; s6, the database gives a system recommended course of treatment to an operator according to the trainer information and the symptom evaluation report, wherein the course of treatment comprises a course of treatment content, a course of treatment period and a course of treatment frequency, and the operator judges the system recommended course of treatment given by the database according to the trainer information and the symptom evaluation report and combines the clinical experience and medical knowledge of the operator to judge whether to directly use the system recommended course of treatment; s7, not selecting a system recommended course of treatment, and creating a custom course of treatment by an operator according to an evaluation report and information of a trainer; s8, after the course of treatment is selected, training a trainer according to the requirement of the course of treatment; s9, after the treatment course is finished, giving out treatment course assessment; s10, storing corresponding data and analyzing the corresponding data; s11, forming an analysis result into a report and outputting the report, wherein the report comprises mental state analysis, scene analysis, operator opinion and post-training advice of a trainer during the training period
As a further preferred aspect of the present invention, the preliminary evaluation in step S2 includes the following specific steps: s2.0, judging whether a trainer is primary training or not; s2.1, training a trainer for the first time, and directly evaluating symptoms; s2.2, judging whether the trainer is in the course of treatment or not without primary training; s2.3, in the course of treatment, an operator judges whether symptom evaluation is required according to the self description of the trainer and the mental state of the trainer during the treatment; s2.4, the trainer requests to evaluate symptoms or the operator requests the trainer to evaluate the symptoms, and then the symptom is evaluated; the trainer requires no symptom assessment and the operator confirms that no symptom assessment is required, and then directly enters the course of treatment; s2.5, after the previous treatment course of the trainer is ended, the symptom is directly evaluated if the trainer is not in the treatment course.
As a further preferred aspect of the present invention, the symptom evaluation in step S3 includes the following specific steps: s3.1, selecting a corresponding scale according to the information of the trainer; s3.2, answering the table by the trainer; s3.3, carrying out scene assessment on the trainer, and before carrying out scene assessment, determining whether the trainer has high risk such as hypertension, heart disease and 3D dizziness or other somatic diseases, judging and selecting a scene matched with the trainer according to a medical history report and a table answer provided by the trainer; s3.4, if a proper scene exists, wearing equipment for a trainer; s3.5, a trainer enters a virtual scene through equipment to perform scene evaluation; s3.6, after scene evaluation, storing an evaluation result; s3.7, integrating evaluation of the scale and scene evaluation according to different weights, and providing an evaluation report, wherein the evaluation report comprises specific mental states and clinical diagnoses of a trainer; 3.8, if proper scenes cannot be found according to the table answer, skipping scene evaluation, carrying out detailed communication and recording between an operator and a trainer, and then inputting a database, and carrying out system updating on the database; s3.9, after the system is updated, the trainer carries out scene assessment, and S3.4-S3.7 are repeated.
As a further preferred aspect of the present invention, the newly created custom procedure in step S7 includes the following specific steps: s7.1, filling in treatment course information; s7.2, an operator modifies the training course recommended by the system according to the evaluation report and the medical history report of the trainer; s7.3, selecting elements in an nth scene, and synthesizing an adaptive scene, wherein n=1; s7.4, whether the trainer has complex symptoms or persistent recurrent symptoms; s7.5, adding elements for training other symptoms into an nth scene to form a combined scene and storing the combined scene when the complex symptoms or the persistent recurrent symptoms exist; s7.6, judging whether an n+1th scene needs to be added or not; s7.7 is needed to be added, and repeating the steps S7.3-S7.6; s7.8, if the scene does not need to be added, saving the custom course of treatment.
As a further preferred aspect of the present invention, the scene elements in the step S7.3 include style, color, shape, size, different viewing angles, placement environment, light intensity, background music and performance; later stage will be according to clinical psychology medicine and virtual technology combination, through clinical practice, find more can induce the key element of mental disease to these key elements are constantly supplemented into the system, make the system upgrade optimization constantly.
As a further preferred aspect of the present invention, the training for the treatment course in step S8 includes the following specific steps: s8.1, judging whether a trainer receives a treatment course scheme given by an operator; s8.2, if the training is not accepted, stopping training, enabling a trainer to carry out psychological communication with an operator, and enabling the trainer to carry out self-evaluation; s8.3, after the trainer evaluates the self, the operator and the trainer judge whether the treatment course needs to be replaced or not together; s8.4, if the treatment course needs to be replaced, repeating S5-7; s8.5, if the course of treatment is not replaced, returning to judge whether the trainer accepts the training scheme; s8.6, if the training scheme is accepted, whether a trainer has high risk such as hypertension, heart disease and 3S dizziness or other somatic diseases or not needs to be confirmed again before scene training is carried out, equipment is worn for the trainer, and the trainer is assisted to enter a training scene to carry out scene training; when the scene is trained, the tolerance degree and the physiological parameter threshold value of the emotion of the trainer are required to be continuously stimulated, and the strength of the scene is adjusted through the change relation between the tolerance degree and the physiological parameter threshold value of the emotion of the trainer; when the situation of emotional collapse or mental collapse of a trainer occurs, the trainer can save oneself through receiving, escaping and destroying buttons in the scene in the initial stage, wherein the scene is immediately converted into a relaxation scene after the escaping buttons are selected, and meanwhile, the trainer is guided to perform relaxation training by matching with relaxation guide words or music; after the receiving button is selected, relevant relaxation and guidance are carried out, and forward encouragement guidance is carried out; after the destruction button is selected, the current environment is crushed, the current pressure emotion is released, the scene is gradually changed from stimulus to non-stimulus state, and meanwhile, a relaxation guide language or music is matched to guide a trainer to carry out relaxation training; in the middle stage, an operator selects an escape button through an external control system to interfere a trainer, so that the trainer relaxes through a relaxation scene to relax emotion or spirit; in the later stage, an operator directly interferes through an external control system, so that a trainer breaks away from a scene as soon as possible and is matched with a medicine and psychological operator to perform relaxation training, and at the moment, the operator needs to evaluate whether the current training scene is suitable for the trainer and give adjustment comments; s8.7, after scene training is finished, the trainer carries out self-evaluation and communicates with an operator to judge whether to replace a treatment course; the trainer self-evaluation can describe the specific mental feeling, physiological response and feeling after training in the training process in detail, communicate with an operator, and propose corresponding appeal, namely whether to adjust scene content and the like, and the operator judges whether to need to replace the course of treatment according to the communication with the trainer and the data of the limb language, the expression action, the eye movement tracking, the biofeedback parameters and the like in the training process of the trainer; s8.8, if the treatment course needs to be replaced, repeating the steps S5-7; and S8.9, if the course of treatment does not need to be replaced, finishing the training of the scene, and uploading data of a trainer during training and after training to obtain course of treatment evaluation.
As a further preferred aspect of the present invention, the devices in step S3.4 and step S8.6 include a biofeedback device, a VR head display device and a monitoring device.
As a further preferred aspect of the present invention, the operator monitors in real time based on biofeedback devices and monitoring devices worn by the trainee, captures and records physiological parameters including pulse, respiration, heart rate, blood pressure, blood oxygen, brain electricity and skin temperature of the trainee during training or scene evaluation, body language and speech communication.
As a further preferred aspect of the present invention, in the step S8.6, the trainer selects whether to pause, degrade, skip, maintain and combine by controlling buttons on the device; the jump level is that a trainer can select a training scene in a jumping manner according to the proposal of an operator and the self situation in the training process; after finishing a training scene, maintaining that the trainer needs to perform repeated training for self-feeling, and performing repeated training for 1-3 times according to the tolerance of the trainer; when a trainer performs scene training, the last training scene is overlapped into the ongoing training scene according to the tolerance of the trainer, and the trainer mainly aims at the trainer with complex symptoms or persistent recurrent attack symptoms, so that the trainer not only needs to perform scene training, but also needs to perform joint training together with medicines.
The invention has the advantages that:
1. the scene graph text evaluation is applied to the field of mental and psychological activities for the first time, so that mental and psychological diseases can be trained more intuitively and conveniently;
2. The scenes and the elements in the scene training are selected according to different diseases, so that the application range is wide, and the pertinence is realized;
3. through superposition of a plurality of scenes and elements, various mental and psychological diseases can be trained simultaneously, the efficiency is higher, and the manpower and time can be effectively saved;
4. the training effect can be effectively improved by combining scene training and medicine training;
5. Through the cooperation of various software and hardware, the mental and physiological changes of a trainer can be effectively and timely mastered, a training scheme is better given, and the training effect is improved; has clinical medical significance;
6. By continuously updating the database, the causes of different mental and psychological diseases can be collected more comprehensively and updated in time;
7. The method can better utilize big data analysis to count and analyze mental and psychological diseases of people, and provides a good data basis for artificial intelligence prediction of disease development trend; meanwhile, the mental diseases can be prevented or intervened in time, and the method has good clinical medical significance.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic flow chart of the preliminary evaluation of step 2;
FIG. 3 is a flow chart of symptom assessment in step S3;
fig. 4 is a flow chart of the new custom procedure in step S7;
fig. 5 is a schematic flow chart of the course training in step S8.
Detailed Description
The invention is described in detail below with reference to the drawings and the specific embodiments.
Referring to fig. 1, the mental illness user auxiliary training method based on the virtual reality technology comprises the following steps:
S1, inputting information of a trainer, and judging whether the trainer is a retraining trainer by searching the existing database; if the training person is not the retraining trainer, inputting detailed information and updating the existing database; if the training person is a retraining trainer, the detailed medical information before the trainer is acquired by one key from the existing database.
S2, after receiving detailed information of the trainer, the operator carries out preliminary evaluation on the information of the trainer, and judges whether the trainer needs symptom evaluation or not.
Referring to fig. 2, the preliminary evaluation in step S2 includes the following specific steps:
S2.0, judging whether a trainer is primary training or not;
S2.1, training a trainer for the first time, and directly evaluating symptoms;
s2.2, judging whether the trainer is in the course of treatment or not without primary training;
S2.3, in the course of treatment, an operator judges whether symptom evaluation is required according to the self description of the trainer and the mental state of the trainer during the treatment;
S2.4, the trainer requests to evaluate symptoms or the operator requests the trainer to evaluate the symptoms, and then the symptom is evaluated; the trainer requires no symptom assessment and the operator confirms that no symptom assessment is required, and then directly enters the course of treatment;
S2.5, after the previous treatment course of the trainer is ended, the symptom is directly evaluated if the trainer is not in the treatment course.
S3, when the operator judges that the trainer needs to carry out symptom evaluation, carrying out symptom evaluation on the trainer, after the symptom evaluation is completed, giving a corresponding evaluation report, and carrying out treatment course selection according to the evaluation report.
Referring to fig. 3, the symptom evaluation in step S3 includes the following specific steps:
S3.1, selecting a corresponding scale according to the information of the trainer;
S3.2, answering the table by the trainer;
s3.3, carrying out scene assessment on the trainer, and before carrying out scene assessment, determining whether the trainer has high risk such as hypertension, heart disease and 3D dizziness or other somatic diseases, judging and selecting a scene matched with the trainer according to a medical history report and a table answer provided by the trainer;
s3.4, if a proper scene exists, wearing equipment for a trainer;
S3.5, a trainer enters a virtual scene through equipment to perform scene assessment, the scene assessment is performed by the factors such as object figures, number and reality, the gradual step-by-step comprehensive combination of single factors and multiple factors is performed, the sequential combination is sequentially displayed to the trainer, the specific scene content of assessment data is obtained through the response of the trainer to the scene, the monitoring is performed through a physiological feedback instrument during the scene assessment, the stimulus valve or psychological bearing capacity of the trainer is confirmed, and the occurrence of overstress reaction is prevented; if a proper evaluation scene cannot be found timely and accurately according to the condition of a trainer during scene evaluation, the scene material library is required to be subjected to content upgrading;
s3.6, after scene evaluation, storing an evaluation result;
s3.7, integrating evaluation of the scale and scene evaluation according to different weights, and providing an evaluation report, wherein the evaluation report comprises specific mental states and clinical diagnoses of a trainer;
3.8, if proper scenes cannot be found according to the table answer, skipping scene evaluation, carrying out detailed communication and recording between an operator and a trainer, and then inputting a database, and carrying out system updating on the database;
s3.9, after the system is updated, the trainer carries out scene assessment, and S3.4-S3.7 are repeated.
S4, when the operator judges that the trainer does not need to evaluate, the operator directly selects the course of treatment.
S5, judging whether the training person is a training person, if so, recommending an archiving course, and adjusting the archiving course by an operator according to self description of the training person; if not, the database recommends the appropriate course of treatment based on the trainer information.
And S6, the database gives a system recommended course of treatment to an operator according to the trainer information and the symptom evaluation report, the course of treatment comprises a course of treatment content, a course of treatment period and a course of treatment frequency, and the operator judges the system recommended course of treatment given by the database according to the trainer information and the symptom evaluation report and combines the clinical experience and medical knowledge of the operator to judge whether to directly use the system recommended course of treatment.
And S7, not selecting the recommended course of treatment of the system, and creating a custom course of treatment by an operator according to the evaluation report and information of the trainer.
Referring to fig. 4, the new custom procedure in step S7 includes the following specific steps:
S7.1, filling in treatment course information;
S7.2, an operator modifies the training course recommended by the system according to the evaluation report and the medical history report of the trainer;
S7.3, selecting elements in an nth scene, and synthesizing an adaptive scene, wherein n=1;
Scene elements include style, color, object shape, size, different viewing angles, placement environment, light intensity, background music, and behavior; later stage will be according to clinical psychology medicine and virtual technology combination, through clinical practice, find more can induce the key element of mental disease to these key elements are constantly supplemented into the system, make the system upgrade optimization constantly.
S7.4, whether the trainer has complex symptoms or persistent recurrent symptoms;
s7.5, adding elements for training other symptoms into an nth scene to form a combined scene and storing the combined scene when the complex symptoms or the persistent recurrent symptoms exist;
s7.6, judging whether an n+1th scene needs to be added or not;
S7.7 is needed to be added, and repeating the steps S7.3-S7.6;
s7.8, if the scene does not need to be added, saving the custom course of treatment.
And S8, after the course of treatment is selected, training a trainer according to the course of treatment requirement.
With reference to fig. 5, the training for the treatment course in step S8 includes the following specific steps:
s8.1, judging whether a trainer receives a treatment course scheme given by an operator;
S8.2, if the training is not accepted, stopping training, enabling a trainer to carry out psychological communication with an operator, and enabling the trainer to carry out self-evaluation;
s8.3, after the trainer evaluates the self, the operator and the trainer judge whether the treatment course needs to be replaced or not together;
s8.4, if the treatment course needs to be replaced, repeating S5-7;
S8.5, if the course of treatment is not replaced, returning to judge whether the trainer accepts the training scheme;
S8.6, if the training scheme is accepted, whether a trainer has high risk such as hypertension, heart disease and 3S dizziness or other somatic diseases or not needs to be confirmed again before scene training is carried out, equipment is worn for the trainer, and the trainer is assisted to enter a training scene to carry out scene training;
During the training process, the trainer selects whether to pause, degrade, skip, maintain and combine through buttons on the control device; the jump level is that a trainer can select a training scene in a jumping manner according to the proposal of an operator and the self situation in the training process; after finishing a training scene, maintaining that the trainer needs to perform repeated training for self-feeling, and performing repeated training for 1-3 times according to the tolerance of the trainer; when a trainer performs scene training, the last training scene is overlapped into the ongoing training scene according to the tolerance of the trainer, and the trainer mainly aims at the trainer with complex symptoms or persistent recurrent attack symptoms, so that the trainer not only needs to perform scene training, but also needs to perform joint training together with medicines;
When the scene is trained, the tolerance degree and the physiological parameter threshold value of the emotion of the trainer are required to be continuously stimulated, and the strength of the scene is adjusted through the change relation between the tolerance degree and the physiological parameter threshold value of the emotion of the trainer; when the situation of emotional collapse or mental collapse of a trainer occurs, the trainer can save oneself through receiving, escaping and destroying buttons in the scene in the initial stage, wherein the scene is immediately converted into a relaxation scene after the escaping buttons are selected, and meanwhile, the trainer is guided to perform relaxation training by matching with relaxation guide words or music; after the receiving button is selected, relevant relaxation and guidance are carried out, and forward encouragement guidance is carried out; after the destruction button is selected, the current environment is crushed, the current pressure emotion is released, the scene is gradually changed from stimulus to non-stimulus state, and meanwhile, a relaxation guide language or music is matched to guide a trainer to carry out relaxation training; in the middle stage, an operator selects an escape button through an external control system to interfere a trainer, so that the trainer relaxes through a relaxation scene to relax emotion or spirit; in the later stage, an operator directly interferes through an external control system, so that a trainer breaks away from a scene as soon as possible and is matched with a medicine and psychological operator to perform relaxation training, and at the moment, the operator needs to evaluate whether the current training scene is suitable for the trainer and give adjustment comments;
S8.7, after scene training is finished, the trainer carries out self-evaluation and communicates with an operator to judge whether to replace a treatment course; the trainer self-evaluation can describe the specific mental feeling, physiological response and feeling after training in the training process in detail, communicate with an operator, and propose corresponding appeal, namely whether to adjust scene content and the like, and the operator judges whether to need to replace the course of treatment according to the communication with the trainer and the data of the limb language, the expression action, the eye movement tracking, the biofeedback parameters and the like in the training process of the trainer;
S8.8, if the treatment course needs to be replaced, repeating the steps S5-7;
And S8.9, if the course of treatment does not need to be replaced, finishing the training of the scene, and uploading data of a trainer during training and after training to obtain course of treatment evaluation.
And S9, after the treatment course is ended, giving a treatment course evaluation.
And S10, storing corresponding data and analyzing the corresponding data.
S11, forming an analysis result into a report and outputting the report, wherein the report comprises mental state analysis, scene analysis, operator opinion and post-training advice of a trainer during the training period
The equipment in the step S3.4 and the step S8.6 comprises a biofeedback device, a VR head display device and a monitoring device, an operator monitors in real time according to the biofeedback device and the monitoring device worn by a trainer, and captures and records physiological parameters, limb language and speech communication of the trainer during training or scene assessment, wherein the physiological parameters comprise pulse, respiration, heart rate, blood pressure, blood oxygen, brain electricity and skin temperature.
The invention has the advantages that:
1. the scene graph text evaluation is applied to the field of mental and psychological activities for the first time, so that mental and psychological diseases can be trained more intuitively and conveniently;
2. The scenes and the elements in the scene training are selected according to different diseases, so that the application range is wide, and the pertinence is realized;
3. through superposition of a plurality of scenes and elements, various mental and psychological diseases can be trained simultaneously, the efficiency is higher, and the manpower and time can be effectively saved;
4. the training effect can be effectively improved by combining scene training and medicine training;
5. Through the cooperation of various software and hardware, the mental and physiological changes of a trainer can be effectively and timely mastered, a training scheme is better given, and the training effect is improved; has clinical medical significance;
6. By continuously updating the database, the causes of different mental and psychological diseases can be collected more comprehensively and updated in time;
7. The method can better utilize big data analysis to count and analyze mental and psychological diseases of people, and provides a good data basis for artificial intelligence prediction of disease development trend; meanwhile, the mental diseases can be prevented or intervened in time, and the method has good clinical medical significance.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the invention in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the invention.
Claims (7)
1. The mental illness user auxiliary training method based on the virtual reality technology is characterized by comprising the following steps of:
S1, inputting information of a trainer, and judging whether the trainer is a retraining trainer by searching the existing database; if the training person is not the retraining trainer, inputting detailed information and updating the existing database; if the training person is a retraining trainer, acquiring previous detailed medical information of the trainer from the existing database by one key; s2, after receiving detailed information of the trainer, the operator carries out preliminary evaluation on the information of the trainer, and judges whether the trainer needs symptom evaluation or not; s3, when an operator judges that the trainer needs to carry out symptom evaluation, carrying out symptom evaluation on the trainer, after the symptom evaluation is completed, giving a corresponding evaluation report, and carrying out treatment course selection according to the evaluation report; s4, when the operator judges that the trainer does not need to evaluate, the operator directly selects the course of treatment; s5, judging whether the training person is a training person, if so, recommending an archiving course, and adjusting the archiving course by an operator according to self description of the training person; if the training person is not the retraining trainer, the database recommends a proper course of treatment according to the trainer information; s6, the database gives a system recommended course of treatment to an operator according to the trainer information and the symptom evaluation report, wherein the course of treatment comprises a course of treatment content, a course of treatment period and a course of treatment frequency, and the operator judges the system recommended course of treatment given by the database according to the trainer information and the symptom evaluation report and combines the clinical experience and medical knowledge of the operator to judge whether to directly use the system recommended course of treatment; s7, not selecting a system recommended course of treatment, and creating a custom course of treatment by an operator according to an evaluation report and information of a trainer; s8, after the course of treatment is selected, training a trainer according to the requirement of the course of treatment; s9, after the treatment course is finished, giving out treatment course assessment; s10, storing corresponding data and analyzing the corresponding data; s11, making an analysis result into a report, and outputting the report, wherein the report comprises mental state analysis, scene analysis, operator opinion and later training advice of a trainer during the training period;
The course training in the step S8 comprises the following specific steps: s8.1, judging whether a trainer receives a treatment course scheme given by an operator; s8.2, if the training is not accepted, stopping training, enabling a trainer to carry out psychological communication with an operator, and enabling the trainer to carry out self-evaluation; s8.3, after the trainer evaluates the self, the operator and the trainer judge whether the treatment course needs to be replaced or not together; s8.4, if the treatment course needs to be replaced, repeating S5-S7; s8.5, if the course of treatment is not replaced, returning to judge whether the trainer accepts the training scheme; s8.6, if the training scheme is accepted, wearing equipment for a trainer, assisting the trainer to enter a training scene, and performing scene training; s8.7, after scene training is finished, the trainer carries out self-evaluation and communicates with an operator to judge whether to replace a treatment course; s8.8, if the treatment course needs to be replaced, repeating S5-S7; s8.9, if the course of treatment does not need to be replaced, the training of the scene is finished, and the data of the trainee during and after training are uploaded to obtain the course of treatment evaluation;
When the scene is trained, the tolerance degree and the physiological parameter threshold value of the emotion of the trainer are required to be continuously stimulated, and the strength of the scene is adjusted through the change relation between the tolerance degree and the physiological parameter threshold value of the emotion of the trainer; when the situation of emotional breakdown or mental breakdown of the trainer occurs, the trainer carries out self-rescue through receiving, escaping and destroying buttons in the scene in the initial stage; in the middle stage, an operator selects an escape button through an external control system to interfere a trainer, so that the trainer relaxes through a relaxation scene, and the emotion or spirit is relaxed; in the later stage, an operator directly interferes through an external control system, so that a trainer breaks away from a scene as soon as possible, and is matched with a medicine and a psychological operator to perform relief training;
In the step S8.6, the trainer selects whether to pause, degrade, skip, maintain and combine through a button on the control device; the jump level is that a trainer jump selects a training scene in the training process according to the proposal of an operator and the self condition; after finishing a training scene, maintaining that the trainer needs to perform repeated training for self-feeling, and performing repeated training for 1-3 times according to the tolerance of the trainer; when a trainer performs scene training, the last training scene is overlapped into the ongoing training scene according to the tolerance of the trainer, and the trainer aims at the complex symptoms or the prolonged repeated attack symptoms, so that the trainer not only needs to perform scene training, but also needs to cooperate with medicines to perform joint training.
2. The mental illness user-assisted training method based on virtual reality technology according to claim 1, wherein the preliminary evaluation in step S2 includes the following specific steps: s2.0, judging whether a trainer is primary training or not; s2.1, training a trainer for the first time, and directly evaluating symptoms; s2.2, judging whether the trainer is in the course of treatment or not without primary training; s2.3, in the course of treatment, an operator judges whether symptom evaluation is required according to the self description of the trainer and the mental state of the trainer during the treatment; s2.4, the trainer requests to evaluate symptoms or the operator requests the trainer to evaluate the symptoms, and then the symptom is evaluated; the trainer requires no symptom assessment and the operator confirms that no symptom assessment is required, and then directly enters the course of treatment; s2.5, after the previous treatment course of the trainer is ended, the symptom is directly evaluated if the trainer is not in the treatment course.
3. The method for assisting the training of the psychomental illness user based on the virtual reality technology according to claim 1, wherein the symptom evaluation in the step S3 comprises the following specific steps: s.1, selecting a corresponding scale according to the information of the trainer; s3.2, answering the table by the trainer; s3.3, carrying out scene assessment on the trainer, and before carrying out scene assessment, determining whether the trainer has hypertension, heart disease, 3D dizziness high risk or other somatic diseases, judging and selecting a scene matched with the trainer according to a medical history report and a table answer provided by the trainer; s3.4, if a proper scene exists, wearing equipment for a trainer; s3.5, a trainer enters a virtual scene through equipment to perform scene evaluation; s3.6, after scene evaluation, storing an evaluation result; s3.7, integrating evaluation of the scale and scene evaluation according to different weights, and providing an evaluation report, wherein the evaluation report comprises specific mental states and clinical diagnoses of a trainer; 3.8, if proper scenes cannot be found according to the table answer, skipping scene evaluation, carrying out detailed communication and recording between an operator and a trainer, and then inputting a database, and carrying out system updating on the database; s3.9, after the system is updated, the trainer carries out scene assessment, and S3.4-S3.7 are repeated.
4. The mental illness user-assisted training method based on the virtual reality technology according to claim 1, wherein the newly-built custom course of treatment in step S7 comprises the following specific steps: s7.1, filling in treatment course information; s7.2, an operator modifies the training course recommended by the system according to the evaluation report and the medical history report of the trainer; s7.3, selecting elements in an nth scene, and synthesizing an adaptive scene, wherein n=1; s7.4, whether the trainer has complex symptoms or persistent recurrent symptoms; s7.5, adding elements for training other symptoms into an nth scene to form a combined scene and storing the combined scene when the complex symptoms or the persistent recurrent symptoms exist; s7.6, judging whether an n+1th scene needs to be added or not; s7.7 is needed to be added, and repeating the steps S7.3-S7.6; s7.8, if the scene does not need to be added, saving the custom course of treatment.
5. The method for assisting mental disorder user training based on virtual reality technology according to claim 4, wherein the scene elements in step S7.3 include style, color, object shape, size, different viewing angles, placement environment, light intensity, background music and behavior.
6. The method for assisting mental disorder user training based on virtual reality technology according to claim 3, wherein the devices in step S3.4 and step S8.6 comprise a biofeedback device, a VR head display device and a monitoring device.
7. The virtual reality technology-based mental illness user auxiliary training method according to claim 6, wherein an operator monitors in real time according to a biofeedback device and a monitoring device worn by a trainer, captures and records physiological parameters including pulse, respiration, heart rate, blood pressure, blood oxygen, brain electricity and skin temperature of the trainer during training or scene evaluation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110907740.3A CN113611395B (en) | 2021-08-09 | 2021-08-09 | Mental illness user auxiliary training method based on virtual reality technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110907740.3A CN113611395B (en) | 2021-08-09 | 2021-08-09 | Mental illness user auxiliary training method based on virtual reality technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113611395A CN113611395A (en) | 2021-11-05 |
| CN113611395B true CN113611395B (en) | 2024-05-31 |
Family
ID=78307643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110907740.3A Active CN113611395B (en) | 2021-08-09 | 2021-08-09 | Mental illness user auxiliary training method based on virtual reality technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113611395B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114582466A (en) * | 2022-03-04 | 2022-06-03 | 北京泽桥医疗科技股份有限公司 | Psychological relieving and pressure reducing method and system based on HRV biofeedback training |
| CN115376695A (en) * | 2022-10-25 | 2022-11-22 | 安徽星辰智跃科技有限责任公司 | Method, system and device for neuropsychological assessment and intervention based on augmented reality |
| CN115671489A (en) * | 2022-11-18 | 2023-02-03 | 深圳先进技术研究院 | Emotion training system |
| CN116994718B (en) * | 2023-09-28 | 2023-12-01 | 南京元域绿洲科技有限公司 | VR technology-based mental disorder auxiliary treatment method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005122128A1 (en) * | 2004-06-10 | 2005-12-22 | Matsushita Electric Industrial Co., Ltd. | Wearable type information presentation device |
| CN106066938A (en) * | 2016-06-03 | 2016-11-02 | 贡京京 | A kind of disease prevention and health control method and system |
| CN107223332A (en) * | 2015-03-19 | 2017-09-29 | 英特尔公司 | Audio-visual scene analysis based on acoustics camera |
| CN108461126A (en) * | 2018-03-19 | 2018-08-28 | 傅笑 | In conjunction with virtual reality（VR）The novel intelligent psychological assessment of technology and interfering system |
| CN109920508A (en) * | 2018-12-28 | 2019-06-21 | 安徽省立医院 | prescription auditing method and system |
| CN111724882A (en) * | 2020-06-30 | 2020-09-29 | 重庆医科大学附属第一医院 | System and method for training psychology of friend-already based on virtual reality technology |
-
2021
- 2021-08-09 CN CN202110907740.3A patent/CN113611395B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005122128A1 (en) * | 2004-06-10 | 2005-12-22 | Matsushita Electric Industrial Co., Ltd. | Wearable type information presentation device |
| CN107223332A (en) * | 2015-03-19 | 2017-09-29 | 英特尔公司 | Audio-visual scene analysis based on acoustics camera |
| CN106066938A (en) * | 2016-06-03 | 2016-11-02 | 贡京京 | A kind of disease prevention and health control method and system |
| CN108461126A (en) * | 2018-03-19 | 2018-08-28 | 傅笑 | In conjunction with virtual reality（VR）The novel intelligent psychological assessment of technology and interfering system |
| CN109920508A (en) * | 2018-12-28 | 2019-06-21 | 安徽省立医院 | prescription auditing method and system |
| CN111724882A (en) * | 2020-06-30 | 2020-09-29 | 重庆医科大学附属第一医院 | System and method for training psychology of friend-already based on virtual reality technology |
Non-Patent Citations (3)
| Title |
|---|
| 基于VR虚拟现实系统下的公安院校实战化课程教学创新;康世庄 等;《法制与社会》;20201125;第162-167页 * |
| 虚拟现实技术在医疗护理领域中的应用与研究进展;肖倩;余赛英;孙沛;;中国护理管理;20200215(第02期);第165-169页 * |
| 面向个性化患者的上肢康复训练系统;李志成;李晋芳;莫建清;何汉武;;现代计算机(专业版)(第13期);第46-49页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113611395A (en) | 2021-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113611395B (en) | Mental illness user auxiliary training method based on virtual reality technology | |
| US11944446B2 (en) | Apparatus, method, and system for pre-action therapy | |
| US11101028B2 (en) | Method and system using artificial intelligence to monitor user characteristics during a telemedicine session | |
| US20220415471A1 (en) | Method and system for using sensor data to identify secondary conditions of a user based on a detected joint misalignment of the user who is using a treatment device to perform a treatment plan | |
| US20210128080A1 (en) | Augmented reality placement of goniometer or other sensors | |
| US20220262483A1 (en) | Systems and Methods for Using Artificial Intelligence to Implement a Cardio Protocol via a Relay-Based System | |
| JP5113520B2 (en) | Exercise training by brain plasticity | |
| CA2935813C (en) | Adaptive brain training computer system and method | |
| US20230106160A1 (en) | Systems and methods for cooperative invasive and noninvasive brain stimulation | |
| US11000669B2 (en) | Method of virtual reality system and implementing such method | |
| AU2009268428B2 (en) | Device, system, and method for treating psychiatric disorders | |
| US20200135042A1 (en) | Simulator and simulation system for brain training based on behavior modeling | |
| US20150339363A1 (en) | Method, system and interface to facilitate change of an emotional state of a user and concurrent users | |
| WO2023215155A1 (en) | Systems and methods for using artificial intelligence to implement a cardio protocol via a relay-based system | |
| CN110743079B (en) | Psychological adjustment training method and system | |
| US20220020474A1 (en) | Dynamic Multi-Sensory Simulation System for Effecting Behavior Change | |
| CN112164458A (en) | Configurable intelligent exercise prescription and exercise video guidance system | |
| Thomas et al. | A study on the impact of neurofeedback in EEG based attention-driven game | |
| CN113517055A (en) | Cognitive assessment training method based on virtual simulation 3D technology | |
| CN115211816A (en) | Monitoring method and monitoring system | |
| CN112402767B (en) | Eye movement desensitization reprocessing intervention system and eye movement desensitization reprocessing intervention method | |
| US20220101981A1 (en) | Method and system for neuromodulation | |
| US20230363065A1 (en) | Method for implementing emotion navigation by using intelligence human centric lighting system | |
| CN117558411A (en) | Pain management system and device based on augmented reality | |
| Parvis et al. | Real-time estimation of EEG-based engagement in different tasks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zhao Ke Inventor after: Lu Zheng Inventor after: Wu Min Inventor after: Ma Lindong Inventor before: Lu Zheng Inventor before: Wu Min Inventor before: Ma Lindong |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |