CN107169272B - Cognitive behavior training method and system - Google Patents

Cognitive behavior training method and system Download PDF

Info

Publication number
CN107169272B
CN107169272B CN201710309053.5A CN201710309053A CN107169272B CN 107169272 B CN107169272 B CN 107169272B CN 201710309053 A CN201710309053 A CN 201710309053A CN 107169272 B CN107169272 B CN 107169272B
Authority
CN
China
Prior art keywords
training
user
training stage
insomnia
stage
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
Application number
CN201710309053.5A
Other languages
Chinese (zh)
Other versions
CN107169272A (en
Inventor
李汇方
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhang Ning
Original Assignee
Beijing Sea Navigation Education Polytron Technologies Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Sea Navigation Education Polytron Technologies Inc filed Critical Beijing Sea Navigation Education Polytron Technologies Inc
Priority to CN201710309053.5A priority Critical patent/CN107169272B/en
Publication of CN107169272A publication Critical patent/CN107169272A/en
Application granted granted Critical
Publication of CN107169272B publication Critical patent/CN107169272B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M21/02Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Social work or social welfare, e.g. community support activities or counselling services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2205/00General characteristics of the apparatus
    • A61M2205/50General characteristics of the apparatus with microprocessors or computers
    • A61M2205/502User interfaces, e.g. screens or keyboards
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2205/00General characteristics of the apparatus
    • A61M2205/50General characteristics of the apparatus with microprocessors or computers
    • A61M2205/52General characteristics of the apparatus with microprocessors or computers with memories providing a history of measured variating parameters of apparatus or patient

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Tourism & Hospitality (AREA)
  • Human Computer Interaction (AREA)
  • Anesthesiology (AREA)
  • Marketing (AREA)
  • Hematology (AREA)
  • Strategic Management (AREA)
  • Primary Health Care (AREA)
  • Pain & Pain Management (AREA)
  • Acoustics & Sound (AREA)
  • Psychology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • General Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Child & Adolescent Psychology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention provides a cognitive behavior training method and a system, wherein the method comprises the following steps: acquiring user login request information to realize login; after logging in, entering a course training page corresponding to a pre-selected training course, and selecting the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage; according to the pre-selected training course, the training stage where the user is currently located is combined, and the cognitive behavior training of the user is achieved in the training interface according to the training content corresponding to the training stage. According to the cognitive behavior training method and system, the user can log in the platform through the network, so that the autonomous cognitive behavior training can be realized at any time and any place, the cognitive deviation of the user is improved, the recurrence is prevented and reduced, and the life quality of the user is improved.

Description

Cognitive behavior training method and system
Technical Field
The invention relates to the field of human psychology, in particular to the field of a cognitive behavior training method and a system.
Background
Cognitive Behavioral Therapy (CBT) is the most widely applied psychological Therapy method with the most definite curative effect in the world at present, and systematically treats various psychological problems such as depression, anxiety, obsessive-compulsive disorder, insomnia, interpersonal relationship, emotional problems, occupational development and the like, and has definite therapeutic effect. Since 2004, western CBT experts began to develop computer programs for CBT instead of therapists to complete the treatment, i.e., to implement the treatment in a man-machine conversation, with success. This is Computerized Cognitive Behavioral Therapy (CCBT).
In the prior art, generally, cognitive behavior training is performed through human intervention, a computer-based automatic cognitive behavior training technology is not available, a user cannot independently train at any time and any place, and user experience is low.
Disclosure of Invention
Aiming at the technical problems, the invention provides a cognitive behavior training method and a system, a user can realize autonomous cognitive behavior training anytime and anywhere through a network login platform, and cognitive deviation of the user is improved, so that recurrence is prevented and reduced, and user experience is improved.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
in a first aspect, the present invention provides a cognitive behavior training method, including:
step S1, obtaining user login request information to realize login;
step S2, entering a course training page corresponding to a pre-selected training course after logging in, and selecting the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage;
and step S3, according to the pre-selected training course, combining the training stage where the user is currently located, and according to the training content corresponding to the training stage, implementing the cognitive behavior training of the user in a training interface.
The technical scheme of the cognitive behavior training method provided by the invention is as follows: acquiring user login request information to realize login; entering a course training page corresponding to a preselected training course after logging in, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage; and according to the preselected training course, combining the current training stage of the user, and according to the training content corresponding to the training stage in a training interface, realizing the cognitive behavior training of the user.
According to the cognitive behavior training method, the user can log in the platform through the network, autonomous cognitive behavior training can be carried out anytime and anywhere, cognitive deviation of the user is improved, recurrence is prevented and reduced, user experience is improved, and the method can be used as a system training tool for basic skills and concepts of a cognitive behavior therapist.
Further, in step S3, when the pre-selected training course is an anxiety training course, the cognitive performance training of the user is realized in a training interface according to the training content corresponding to the training stage in combination with the training stage where the user is currently located:
when the current training stage of the user is a first anxiety training stage, acquiring at least one event recorded by the user every day, including the time and content of the event, the current emotion information and the evaluation information of the event, and forming a first anxiety thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first anxiety thinking recording list, and entering a second anxiety training stage after the thinking mode is completed;
when the training stage of the user at present is the second anxiety training stage, recording is continuously carried out according to the recording mode in the first anxiety training stage, and after the preset number of days is recorded, forming
A second list of anxiety thoughts;
performing relaxation training once a day according to the second anxiety thinking recording list, performing relaxation training according to the preset number of days, and entering a third anxiety training stage after completion;
when the current training stage of the user is the third anxiety training stage, continuing recording according to the recording mode in the first anxiety training stage, and forming a third anxiety recording list after recording the preset number of days;
combining the third anxiety thinking recording list according to a plurality of antagonistic thinking methods, and forming a first anxiety antagonistic thinking recording list after the antagonistic thinking training for the preset number of days;
performing anxiety grade division on the event according to the first anxiety thinking resistance recording list to form an anxiety grade list, and entering a fourth anxiety training stage after the anxiety grade division is completed;
when the training stage of the user is the fourth anxiety training stage, continuing to perform the thinking resistance training according to the multiple thinking resistance methods, and forming a second thinking resistance record list after performing the thinking resistance training for the preset number of days;
acquiring active thinking records of the user in the antagonistic thinking training, forming an anxiety active thinking record list and storing the anxiety active thinking record list;
performing exposure training and breathing training according to different anxiety grade events in the anxiety grade list, and entering a fifth anxiety training stage, wherein the exposure training and the breathing training are continued until the anxiety grade in the anxiety grade list is reduced to a specified standard, the training is ended, and the fifth anxiety training stage is entered;
when the current training stage of the user is the fifth anxiety training stage, performing thinking resistance consolidation training according to a plurality of thinking resistance methods, performing intensive training according to the anxiety active thinking record list by means of an image training method, a problem making method and a corresponding solution method after the practice for the preset number of days, and entering a sixth anxiety training stage after the completion;
and when the current training stage of the user is the sixth anxiety training stage, performing anxiety training verification through an anxiety self-measuring table to finish the training of the anxiety training course.
Further, in step S3, when the pre-selected training course is a depression training course, the training stage where the user is currently located is combined, and the cognitive behavior training of the user is realized in a training interface according to the training content corresponding to the training stage:
when the current training stage of the user is a first depression training stage, acquiring at least one event recorded by the user every day, wherein the event comprises the time and content of the event, the current emotion information and evaluation information of the event, and forming a first depressed thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first depressed thinking recording list, and entering a second depressed training stage after the thinking mode is completed;
when the training stage of the user at present is the second depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a second depression thinking recording list after recording the preset number of days;
performing activity arrangement training once a day according to the second depressed thinking recording list, and entering a third depressed training stage after the training is completed for the preset time;
when the training stage of the user at present is the third depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a third depression thinking recording list after recording the preset number of days;
according to multiple antagonistic thinking methods, combining the third depression thinking record list, and forming a first depression antagonistic thinking record list after the preset days of the antagonistic thinking training;
performing the activity arrangement training for the preset number of days according to the activity arrangement training in the second depression training stage, obtaining the implementation situation of the event in the activity arrangement training and the mood after the implementation, and entering a fourth depression training stage after the completion;
when the training stage of the user at present is the fourth depression training stage, acquiring active thinking records of the user in the antagonistic thinking training to form a depression active thinking record list for storage;
training through the depression active thinking recording list, changing attribution modes and task processing modes of the user, and entering a fifth depression training stage;
when the training stage of the user is the fifth depression training stage, performing intensive training by a method of formulating problems and corresponding solutions according to the depression active thinking recording list, and entering a sixth depression training stage after the intensive training is completed;
and when the training stage in which the user is currently positioned is the sixth depression training stage, performing verification of depression training through a depression self-measuring scale to finish training of the depression training course.
Further, in the step S3, when the pre-selected training course is an insomnia training course, the cognitive behavior training of the user is realized in a training interface according to the training content corresponding to the training stage in combination with the training stage where the user is currently located:
when the current training stage of the user is a first insomnia training stage, acquiring sleep log information recorded by the user every day, wherein the sleep log information comprises bed-getting time, bed-falling time, wake-up time, bed-getting-up time, accumulated bed-falling time, accumulated sleep-falling time and daily dozing times of the user at night, forming a sleep log after recording preset days, and entering a second insomnia training stage;
when the current training stage of the user is the second insomnia training stage, continuously recording according to the recording mode in the first insomnia training stage, and forming a second sleep log after recording the preset number of days;
performing insomnia training by a sleep knowledge learning method according to the second sleep log, performing insomnia training verification of a second insomnia training stage by an insomnia severity index table after the insomnia training is performed for the preset number of days, and entering a third insomnia training stage after the insomnia training is completed;
when the current training stage of the user is the third insomnia training stage, continuously recording according to the recording mode in the second insomnia training stage, and forming a third sleep log after recording the preset number of days;
calculating the average bed time, the sleeping time and the sleeping efficiency per night according to the third sleeping log;
calculating to obtain the time when the user should be in the bed according to the sleep time and the ideal sleep efficiency, and determining the corresponding time when the user gets in the bed and the time when the user gets out of the bed;
according to the corresponding bed-getting time and the bed-getting-up time, combining with a sleep suggestion, after a week of training, carrying out first adjustment on the corresponding bed-getting-up time to form a work and rest time table;
performing insomnia training verification of the third insomnia training stage through an insomnia severity table, and entering a fourth insomnia training stage after the insomnia training verification is completed;
when the current training stage of the user is the fourth insomnia training stage, continuously recording according to the recording mode in the third insomnia training stage, and forming a fourth sleep log after recording the preset number of days;
performing behavior training through a stimulation control method according to the fourth sleep log, and updating the work and rest time table for the first time;
according to the first updated work and rest time table and in combination with the sleep suggestion, carrying out second adjustment on the corresponding time of getting to bed;
performing insomnia training verification of the fourth insomnia training stage through the insomnia severity index table, and entering a fifth insomnia training stage after the insomnia training verification is completed;
when the training stage of the user is the fifth insomnia training stage, acquiring a feedback problem of the user, and answering the feedback problem;
continuing to record according to the recording mode in the fourth insomnia training stage, and forming a fifth sleep log after recording the preset number of days;
according to the fifth sleep log, in combination with the answer to the feedback question, the work and rest time table is updated for the second time;
according to the second updated work and rest time table, in combination with the sleep suggestion, the corresponding time of getting to bed is adjusted for the third time;
performing insomnia training verification of the fifth insomnia training stage through the insomnia severity index table, and entering a sixth insomnia training stage after the insomnia training verification is completed;
when the current training stage of the user is the sixth insomnia training stage, continuously recording according to the recording mode in the fourth insomnia training stage, and forming a sixth sleep log after recording the preset number of days;
updating the work and rest time table for the third time according to the sleep log of the sixth insomnia training stage;
according to the work and rest schedule updated for the third time, the corresponding time of getting to bed is adjusted for the fourth time by combining the sleep suggestion;
and performing insomnia training verification of the sixth insomnia training stage through an insomnia severity index table to finish training of the insomnia training course.
Further, in step S3, when the pre-selected training course is a forced training course, the training stage where the user is currently located is combined, and the cognitive behavior training of the user is realized in a training interface according to the training content corresponding to the training stage:
when the current training stage of the user is a first compulsive training stage, acquiring an obsessive compulsive disorder recording log of the user, wherein the obsessive compulsive disorder recording log comprises the occurrence date, time, stimulus events, thinking response, behavior response, compulsive consequences and subjective discomfort unit scores, and entering a second compulsive training stage after recording preset days;
when the training stage in which the user is currently positioned is the second forced training stage, performing training of the forced training stage by an exposure response prevention method:
making an exposure grade table according to a compulsive disorder recording log in the first compulsive training stage, wherein the exposure grade table is sorted from low to high according to subjective discomfort unit scores in the compulsive disorder recording log, each subjective discomfort unit score corresponds to one exposure symptom, and the exposure grade table is continuously updated;
starting to exercise exposure items according to exposure symptoms corresponding to the intermediate subjective discomfort unit scores in the exposure level table until the exposure symptoms corresponding to the highest subjective discomfort unit scores in the exposure level table are subjected to exercise of the exposure items, and completing one exercise of the exposure items, wherein the exposure items comprise real exposure and imagination exposure;
repeating the exposure project exercises for a plurality of times until the user achieves the expected effect, and entering a third forced training stage;
when the training stage of the user is the third forced training stage, obtaining an award list, wherein the award list comprises behaviors which the user wants to do and corresponding award contents;
selecting exposure items of exercises according to the exposure level table;
performing corresponding exercises according to the exposure items of the selected exercises, and entering a fourth forced training stage after the exercises are completed;
when the training stage of the user is the fourth forced training stage, repeatedly performing exposure exercise according to the exposure symptom corresponding to the lowest subjective discomfort unit score in the exposure grade table until habituation is generated;
after the practice is finished, performing exposure practice of the exposure symptom corresponding to the next subjective discomfort unit score, after the exposure symptom corresponding to the highest subjective discomfort unit score is subjected to repeated exposure practice, habituating, ending the practice, generating an exposure exercise list, and entering a fifth forced training stage;
when the training stage where the user is currently located is the fifth forced training stage, performing exercise review test;
and after the test is finished, making a life plan, and finishing the training of the forced training course.
Further, in the three courses of training of depression, anxiety and insomnia, the method also comprises the following steps: and evaluating the user before each training stage, wherein the evaluation result is displayed in a form of a chart.
Further, in the four courses of training for depression, anxiety, insomnia and obsessive-compulsive, it also includes: and obtaining the homework of the user and the feedback of the corresponding homework before each training stage.
Further, before the step S1, for the user who registers for the first time, the method further includes:
acquiring registration information of a user;
completing registration according to the registration information of the user, and entering a personal data page;
and obtaining the personal information of the user on the personal data page.
Further, in the four courses of training for depression, anxiety, insomnia and obsessive-compulsive, it also includes:
and obtaining the guidance suggestion of the doctor through a message frame according to the family work of the user and the feedback of the corresponding family work.
After the doctor finishes the family operation performed by the visitor, the doctor can give some professional feedback to the visitor, the feedback can see a pop-up box of the doctor feedback after the visitor logs in the APP, the visitor can select to view immediately or later, the feedback can also view corresponding feedback in the family operation of corresponding times,
the interface of the training module is more friendly and intelligent, for example, in the anxiety training module, the data of the biofeedback instrument is combined in exposure training and breath training, training is carried out, different relaxation audios can be selected for relaxation training in combination with voice guidance, and the anxiety level is trained step by step to gradually achieve the treatment effect.
In a second aspect, the present invention provides a cognitive behavior training system, comprising:
the login module is used for acquiring login request information of a user and realizing login;
the training course selection module is used for entering a course training page corresponding to a pre-selected training course after logging in to select the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage;
and the cognitive behavior training module is used for realizing the cognitive behavior training of the user in a training interface according to the training content corresponding to the training stage by combining the training stage where the user is currently located according to the preselected training course.
The invention provides a cognitive behavior training system, which adopts the technical scheme that: obtaining user login request information through a login module to realize login; the method comprises the steps that a training course selection module logs in, and then enters a course training page corresponding to a pre-selected training course to select the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage; and realizing the cognitive behavior training of the user in a training interface according to the training content corresponding to the training stage by a cognitive behavior training module according to the preselected training course and the training stage where the user is currently located.
According to the cognitive behavior training system, the user can log in the platform through the network, so that the autonomous cognitive behavior training can be performed anytime and anywhere, the cognitive deviation of the user is improved, the recurrence is prevented and reduced, the user experience degree is improved, and meanwhile, the system can be used as a system training tool for basic skills and concepts of a cognitive behavior therapist.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
Fig. 1 is a flowchart illustrating a cognitive behavior training method according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a cognitive behavior training system according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
Example one
As shown in fig. 1, the cognitive behavior training method provided in this embodiment includes:
step S1, obtaining user login request information to realize login;
step S2, entering a course training page corresponding to a pre-selected training course after logging in, and selecting the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage;
and step S3, according to the pre-selected training course, combining the training stage where the user is currently located, and according to the training content corresponding to the training stage, implementing the cognitive behavior training of the user in the training interface.
The technical scheme of the cognitive behavior training method provided by the invention is as follows: acquiring user login request information to realize login; entering a course training page corresponding to a preselected training course after logging in, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage; according to the pre-selected training course, the training stage where the user is currently located is combined, and the cognitive behavior training of the user is achieved in the training interface according to the training content corresponding to the training stage.
According to the cognitive behavior training method, the user can log in the platform through the network, autonomous cognitive behavior training can be carried out anytime and anywhere, cognitive deviation of the user is improved, recurrence is prevented and reduced, user experience is improved, and the method can be used as a system training tool for basic skills and concepts of a cognitive behavior therapist.
Cognitive Behavioral Therapy (CBT) is currently the most widely used psychological training method in the world, and is an effective method for treating anxiety by modifying cognition and behavior. One's mood and his cognition and behavior interact, so we can change the mood of anxiety by changing cognition and behavior. It is a cognition (i.e., idea) that lets people's mood come not from what happens, but from how people see and evaluate it. The objective and positive idea of people is an important technology of CBT treatment, and based on the objective and positive idea of people, a family operation is completed in the next 5 days (preset days), the idea of a certain event and the emotion generated by the event are recorded, and a first anxiety thinking recording list is formed, such as:
Figure GDA0002327675530000111
Figure GDA0002327675530000121
by CBT, the factors causing the generation and maintenance of anxiety can be understood, and the people can learn how to adjust the mood by themselves and overcome the anxiety.
The following is described in detail with reference to a specific training procedure:
preferably, in step S3, when the pre-selected training course is an anxiety training course, the training interface implements the cognitive behavior training of the user according to the training content corresponding to the training phase in combination with the training phase in which the user is currently located:
when each training is entered, a psychological scale is firstly tested, the current anxiety state of the user is measured, the real situation of the user is known, and the training in the first anxiety training stage is facilitated to be developed.
When the current training stage of the user is a first anxiety training stage, acquiring at least one event recorded by the user every day, including the time, content, current emotion information and evaluation information of the event, and forming a first anxiety thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first anxiety thinking recording list, and entering a second anxiety training stage after the thinking mode is completed;
when the current training stage of the user is a second anxiety training stage, continuously recording according to the recording mode in the first anxiety training stage, and forming a second anxiety thinking recording list after recording preset days (5 days);
performing relaxation training once a day according to a second anxiety thinking recording list, performing relaxation training according to preset days, and entering a third anxiety training stage after completion;
there are many ways of relaxation training, such as progressive muscle relaxation training (PMR), which is performed by the movement of the limbs and the adjustment of breathing. In the process of relaxation training, some blood oxygen saturation and pulse rate data can be collected through a pulse oximeter, and the relaxation state of the user can be judged through the data.
When the current training stage of the user is a third anxiety training stage, continuing recording according to the recording mode in the first anxiety training stage, and forming a third anxiety recording list after recording preset days;
according to various thinking resisting methods, a third anxiety thinking recording list is combined, and after the thinking resisting training is carried out for preset days, a first anxiety thinking resisting recording list is formed;
according to the first anxiety thinking resistance recording list, performing anxiety grade division on the event to form an anxiety grade list, and entering a fourth anxiety training stage after completion;
the confrontational thinking is a confrontation to the distortion cognition, and the common distortion cognition has seven kinds, including arbitrary inference, selective summarization, excessive generalization, personalization, exaggeration and reduction, two-polarization thinking, sense of urgency and must sense of necessity; there are seven common anti-thinking approaches, including de-catastrophe, i.e. by analyzing the contents of the list of thought records, ranking the probability of various consequences, re-evaluating and understanding the environment with positive thinking. For example, a person fearing to ride an elevator may want to: "the door is just closed, then I can be trapped here for many hours, and no one knows that I will faintly fall when the oxygen in the elevator is used up". Catastrophe removal is thought in the opposite way: "the elevator door is closed, then the elevator will send me to the floor where i want to go, and the door will be opened again. The emergency button can be pressed to seek help even if the elevator is stuck. There is no problem when i get on the elevator last time, i'm is faintly less likely ".
The statement of responsiveness tells oneself how to face a certain pressure scenario, predicts problems, and describes to oneself the process of dealing with these problems. Such as: "i can do this, as long as i strive, things become much simpler, i need only take the first step".
The sense of merit is to fight the thinking, i.e. not to study the things themselves too much, but to pay attention to whether the thought and attitude of the things are useful. For example, although a mistake was made, something has already happened and self-liability is not useful. Telling oneself to put effort on solving the problem or draw lessons from it, avoid making a next offence, rather than being self-responsible.
The label change is to change the negative label attached to the scene or the affair into an objective and positive expression and change the objective and positive expression into the negative label. If the label of 'self-negativity' is removed to evaluate a person, the label is replaced by 'self-confidence' to evaluate; remove "difficult" labels and change to "challenges; the label "pressure" is removed and changed to "power".
Humorous antagonistic thinking, i.e. finding humorous points in passive automatic thinking, or refuting in a humorous way, is a particularly useful refuting way. For example, when all things are considered to be necessary to the utmost and the practical conditions are not allowed, the self-deprecated tells the self as to take the self as a superman. "
Citing the adversarial thinking of celebrity celebrities or proverbs, e.g., when an event is not done well, the passive automatic idea is: "I finished eggs" or "I did nothing, failure" was the mother of success "and" everything started hard "and so on.
There are competing thoughts, i.e., many negative automatic thoughts are assertive, no real basis, refuting, and no real basis is required. For example, "why is me? "such a problem can be refuted by another idea: "why is not me? "
Wherein, the anxiety grade list is divided into 5 different degrees, the event, thing or scene causing the most intense emotional reaction is divided into 10 points, the degree is slightly less than 8 points, and the degrees are sequentially decreased, and the conditions of 6 points, 4 points and 2 points are respectively listed. The listed events, things or scenes must be specific and have operability so as to facilitate training after the next training.
When the current training stage of the user is a fourth anxiety training stage, continuing to carry out thinking resistance training according to various thinking resistance methods, and forming a second thinking resistance recording list after carrying out thinking resistance training for preset days;
acquiring active thinking records of a user in the training of the antagonistic thinking, forming an anxiety active thinking record list and storing the anxiety active thinking record list;
performing exposure training and breathing training according to different anxiety grade events in the anxiety grade list, entering a fifth anxiety training stage, continuing the exposure training and the breathing training until the anxiety grade in the anxiety grade list is reduced to a specified standard, ending the training, and entering the fifth anxiety training stage;
specifically, first, an event, thing, or scene of 4 points in the previous anxiety level list of homework is actively contacted, and the contact is maintained for a certain time without escaping, and the respiratory training may be combined or not performed while the contact is made.
When 4 points of an event, thing or scene cause the emotional response to drop to 2 points or less (usually requiring training for days or weeks, etc.), a contact training for 6 points of the event, thing or scene can be initiated, again with active contact for a certain period of time without escape, with or without breathing training.
Similarly, when 6 points of an event, thing or scene are reached to 2 points or less (usually, it is also necessary to train for several days or weeks), 8 points of the event, thing or scene are trained again.
After 8 points of events, things or scenes are reduced to 2 points or below, training of 10 points of events is finally carried out. This usually takes weeks to months, and some people may not be able to achieve an effect of 2 points or less in 8-point and 10-point events, things or scenes, and may terminate training to the extent they deem acceptable.
Among them, exposure training is a classic behavior training method, which recognizes that things or scenes are confronted without avoidance by continuously contacting them, and relieves moods such as anxiety and fear. Exercise is started from an event, thing or scene of 4 points according to the anxiety level list of the last homework. The principle is non-escape, step-by-step training. The reduction of anxiety sensation is more pronounced by repeated practice. When 4 points of event, thing or scene anxiety decreased to an acceptable range, training was performed for 6 points, followed by 8 points and finally 10 points. In the training process, relaxation training or breathing training can be performed, and discomfort can be relieved.
Respiratory training is highly helpful in cases of panic attacks or acute anxiety attacks. Respiratory training is also simple and effective in relieving other emotions such as anxiety, stress, fear and the like, and can enable a patient to transfer attention from catastrophical cognition to attention breathing.
The method specifically comprises the following steps: step 1: several deep abdominal breaths are made (i.e. exhale, empty all air in the abdominal cavity, invaginate abdomen; inhale, feel the whole abdominal cavity full of fresh air, relax abdomen). Step 2: adjusting breathing to normal speed: breaths 15-16 times per minute (about one breath cycle every 4 seconds). It is suggested to help return to the normal breathing mode by looking at the second hand of the timepiece. And step 3: the feeling of control to the body brought by normal breathing can be realized.
Meanwhile, the active thinking during thinking confrontation can be stored, the active thinking which is considered to be valuable and helpful for the user can be recorded at any time, and the user can review and extract the active thinking at any time when needed to confront the next distorted cognition which causes anxiety. For example: "everyone is not perfect, i have own advantage, do not look at it not enough to see. "is not good or relevant, and the next effort can be harvested. "he did not answer the phone may not hear, not representing something to do. "and the like. Exposure training and breathing training continue to maintain this exercise after all training is completed, which may take months or more.
And when the current training stage of the user is a fifth anxiety training stage, performing thinking-fighting consolidation training according to a plurality of thinking-fighting methods, performing intensive training according to an image training method, a problem making method and a corresponding solution method according to an anxiety active thinking recording list after training for a preset number of days, and entering a sixth anxiety training stage after finishing the intensive training.
The image training method is to imagine a calm scene, such as imagine that the user walks around the beach or is in a holiday area that the user likes to divert attention to a painful idea or reduce discomfort on the body. Can be used alone or added with positive intention training in the process of breathing training, relaxation training or exposure training. The image is rich in content, and can give full play to the self imagination, such as ' flying like a bird in the sky ' or ' making tension like ice, and slowly melting, evaporating and disappearing. The 'OR' is just like the leaves, and is blown away by strong wind and blown to the sky, and cannot be seen. "and the like.
Often used in conjunction with other CBT methods, such as relaxation training, breathing training, and exposure training, may help these techniques work better.
The method for formulating the problems and the corresponding solutions specifically refers to the following steps: clearly define what the problem is. Clear and achievable solution goals are set. Several different solutions have been proposed. The information required by each solution is queried. One of the solutions is selected according to the information situation. Specific steps are set up to realize the solution and the implementation is started. Check its progress.
And when the current training stage of the user is the sixth anxiety training stage, performing the verification of the anxiety training through the anxiety self-measuring table to finish the training of the anxiety training course.
By adopting the method to train the cognitive behaviors of anxiety, the user can improve the anxiety symptoms by himself, the ability of the user to rationally see and solve the problems is enhanced, and the user can better adapt to life.
Also, Cognitive Behavioral Therapy (CBT) is an effective method to alleviate depression through cognitive and behavioral changes. One person's mood and his cognition and behavior interact, thus changing depressed mood by changing cognition and behavior. This is an important technology for CBT treatment, making people's thoughts objective and positive, and therefore, it is first necessary to recognize people's thoughts of events occurring in life. In the next 5 days, a family job is completed, the thoughts of the event and the mood generated by the event are recorded, and a first depressed thinking recording list is formed, such as:
event(s) Idea of Mood(s)
On the journey, half bottle of water is drunk Only half a bottle of water is left, which may not be enough Worry about
By CBT, the factors causing the generation and maintenance of depression can be understood, and the people can learn how to adjust the mood by themselves and get out of depression.
The following is described in detail with reference to a specific training procedure:
preferably, in step S3, when the pre-selected training course is a depression training course, the training interface implements the cognitive behavior training of the user according to the training content corresponding to the training phase in combination with the training phase in which the user is currently located:
the test of the scale is firstly carried out when each training enters, the current depression condition of the user is detected, the real condition of the user is known, and the training in the first depression training stage is facilitated to be developed.
When the current training stage of the user is a first depression training stage, acquiring at least one event recorded by the user every day, wherein the event comprises the time and content of the event, the current emotion information and the evaluation information of the event, and forming a first depression thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first depressed thinking recording list, and entering a second depressed training stage after the thinking mode is completed;
when the current training stage of the user is a second depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a second depression thinking recording list after recording preset days (5 days);
performing activity arrangement training once a day according to the second depression thinking recording list, and entering a third depression training stage after the training is finished for a preset time;
the activity arrangement training refers to planning activities from today to before the third training (at least 5 days), wherein the activities are one content per day, the planned activities are simple and feasible, at present, the first two contents (time and activities) for at least 5 days are filled, the activities are performed according to the plan every day, and after each completion, a webpage is opened to record the implementation situation of the activities and the mood after the implementation.
When the current training stage of the user is a third depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a third depression thinking recording list after recording preset days;
according to various thought fighting methods, combining with the third depressed thought recording list, after the thought fighting training is carried out for a preset number of days, forming a first depressed thought fighting recording list;
performing activity arrangement training for a preset number of days according to the activity arrangement training in the second depression training stage, obtaining the implementation condition of events in the activity arrangement training and the mood after the implementation, and entering a fourth depression training stage after the completion;
the method is characterized in that the method of multiple thinking countermeasures is consistent with the method in the anxiety training course, and the thinking countermeasures are used for performing the training of activity arrangement and recording all the time while performing the training of the anxiety, so that the training is performed step by step.
When the current training stage of the user is a fourth depression training stage, acquiring active thinking records of the user in the antagonistic thinking training to form a depression active thinking record list for storage;
training through a depression active thinking recording list, changing the attribution mode and task processing mode of a user, and entering a fifth depression training stage;
positive opinions about events are recorded in active thinking records, such as: "everyone is not perfect, i have own advantage, do not look at it not enough to see. "is not good or relevant, and the next effort can be harvested. "he did not answer the phone may not hear, not representing something to do. "and the like. By continuously training the positive ideas, the attribution mode, namely the opinion on an event, can be changed, the reason of the event is not attributed to the event, and some ideas of inferior, self-liability, depression and loss of confidence are avoided. Meanwhile, the decomposition processing of one thing is tried, and the decomposition is carried out into different small tasks to reduce the pressure feeling of doing things.
When the current training stage of the user is a fifth depression training stage, performing intensive training by a method of formulating problems and corresponding solutions according to a depression active thinking record list, and entering a sixth depression training stage after completion;
and when the current training stage of the user is the sixth depression training stage, performing the verification of depression training through a depression self-measuring scale to finish the training of a depression training course.
By adopting the method to train the cognitive behaviors of the depression, the user can automatically improve the symptoms of the depression, enhance the ability of the user to rationally see and solve the problems and better adapt to life.
Preferably, in step S3, when the pre-selected training course is an insomnia training course, the training interface implements the cognitive behavior training of the user according to the training content corresponding to the training stage in combination with the training stage where the user is currently located:
when the current training stage of the user is a first insomnia training stage, acquiring sleep log information recorded by the user every day, wherein the sleep log information comprises bed-getting time, sleep-in time, wake-up time, bed-getting-up time, accumulated bed-in time, accumulated sleep-in time and daily dozing times of the user at night, forming a sleep log after recording preset days, and entering a second insomnia training stage;
and recording the sleep log information of 5 days to understand and evaluate the work and rest rule of the user, the belief and attitude of sleep and the severity of insomnia.
When the current training stage of the user is a second insomnia training stage, continuously recording according to the recording mode in the first insomnia training stage, and forming a second sleep log after recording preset days;
performing insomnia training by a sleep knowledge learning method according to the second sleep log, performing insomnia training verification of the second insomnia training stage by an insomnia severity index table after performing the insomnia training for preset days, and entering a third insomnia training stage after completing the insomnia training;
wherein, the sleep knowledge is as follows:
1. how much the sleep time is dependent on the patient's wake status the next day;
2. the aerobic exercise can help sleep in the morning or afternoon every day; the hobbies are cultivated, and the life is enriched;
3. before sleeping, strong stimulation is avoided, the lamp is dark, a hot bath is used for relaxing, exciting activities (except sexual activities) are avoided, terrorist books or movies are avoided, and disputes with people are avoided;
4. avoiding tea, coffee and wine, especially in the afternoon or evening; no smoking for several hours before sleep;
5. reasonably arranging the work and sleep hygiene rules: time, problem or thought in the brain of the evacuation treatment in the evening, at least 1 hour before sleep. Writing down a task or difficulty to do the next day does not make these problems more and more annoying;
6. if people feel hungry before sleeping, eating a small amount of food can help sleeping;
7. quieting and dulling the bedroom as much as possible while keeping the bedroom temperature suitable;
8. if the user cannot fall asleep quickly, the user should get up immediately and go to another room to do some relaxing activities, so that the user is prevented from feeling frustrated;
9. if the user wakes up in the middle of the night, the user does not need to watch a clock and continues to turn around to sleep; the bedroom preferably does not need to be clocked;
10. the timing getting up and resting is beneficial to the biological clock. Getting up regularly during and on weekends;
11. the user cannot have a nap or doze in the daytime, otherwise, the user can reduce the sleepiness at night and the time for the user to sleep;
12. there is a concern that sleeping for hours every night may affect daytime alertness and mobility. As long as daytime alertness and mobility is good, it is said that sufficient time has been asleep.
Through the sleep knowledge, the sleep is automatically adjusted, the sleep quality is improved, and the daily sleep condition is recorded.
When the current training stage of the user is a third insomnia training stage, continuously recording according to the recording mode in the second insomnia training stage, and forming a third sleep log after recording preset days;
calculating the average bed time, the sleeping time and the sleeping efficiency per night according to the third sleeping log;
calculating to obtain the time when the user should be in bed according to the sleep time and the ideal sleep efficiency, and determining the corresponding time when the user gets in bed and the time when the user gets out of bed;
according to the corresponding bed-getting time and the bed-getting-up time, the sleep advice is combined, and after one week of training, the corresponding bed-getting-up time is adjusted for the first time to form a work and rest time table;
wherein, the sleep suggestion refers to the suggestion of an insomnia person before and after sleeping, and is helpful for helping sleeping, and the sleep suggestion specifically comprises the following steps:
1. a sleep diary of 2 weeks was first made, including the time points to go to bed, the time points to go to sleep, the time points to wake up, the time points to get up, the daytime sleep time, etc.
2. The average bed time (time to get up-time to bed) and the sleep time and sleep efficiency (percentage of sleep time/bed time) per night of the week were calculated from the diary. For example, a person lies in bed for 8 hours every day and sleeps for 4 hours, and the sleeping efficiency is 50%.
3. The time of the user in bed (sleeping time/90%) is calculated according to the sleeping time and the ideal sleeping efficiency (> 90%), the time of getting up and getting up is determined, the time of getting up is fixed by an alarm clock, and the time of lying in bed cannot be less than 5 hours.
4. After one week of training, if the average sleep efficiency per night in the week reaches more than 90%, the next week can get up to bed in advance for 15-30 minutes; if the sleep efficiency is 80-90%, maintaining the original time in the next week; if the sleep efficiency is lower than 80%, the time for getting to bed in the next week is delayed for 15-30 minutes. The sleep cycle is adjusted once per week.
5. According to the principle, the bed-lying time is periodically adjusted until enough sleeping time is reached.
Performing insomnia training verification in a third insomnia training stage through an insomnia severity table, and entering a fourth insomnia training stage after the insomnia training verification is completed;
in the third stage of training, the daily sleep condition is also recorded as the basis for adjusting the work and rest schedule in the next stage.
When the current training stage of the user is a fourth insomnia training stage, continuously recording according to the recording mode in the third insomnia training stage, and forming a fourth sleep log after recording preset days;
performing behavior training through a stimulation control method according to the fourth sleep log, and updating the work and rest schedule for the first time;
according to the first updated work and rest time table, the corresponding time of getting on bed is adjusted for the second time by combining the sleep suggestion;
the stimulation control method is a program for helping insomnia people reduce behaviors irrelevant to sleep and establishing a regular sleep-wake mode, and aims to ensure that the insomnia people do not establish connection with the insomnia condition but establish connection with the sleep and enable the body to form a normal sleep-wake rhythm. The method comprises the following specific steps:
1. except for sleeping, the user does not need to stay in bed or bedroom at other times. The bed is taken as a special place for sleeping, and does not need to be used for doing activities unrelated to sleeping, reading books, watching television, listening to broadcasts and the like.
2. If the user still can not sleep after lying on the bed for 30 minutes, the user has to get up and leave the room to do a gentle matter, and the user can get on the bed only when the user really sleeps. If the user can not fall asleep quickly after getting on the bed, the user can get up immediately, and the user can go back to the bed only after sleeping. If there is no drowsiness all the time, this is done until it is natural.
3. All night, if the user wakes up halfway and can not fall asleep quickly, the user should do the above method.
4. Every morning insists on waking up and getting up at the same time, regardless of how well asleep at night.
5. The user never goes to bed in the daytime.
Performing insomnia training verification in a fourth insomnia training stage through an insomnia severity table, and entering a fifth insomnia training stage after the insomnia training verification is completed;
when the current training stage of the user is a fifth insomnia training stage, acquiring a feedback problem of the user, and answering the feedback problem;
continuously recording according to the recording mode in the fourth insomnia training stage, and forming a fifth sleep log after recording preset days;
according to the fifth sleep log, in combination with the solution to the feedback problem, the work and rest schedule is updated for the second time;
according to the second updated work and rest time table, the corresponding time of getting to bed is adjusted for the third time by combining the sleep suggestion;
performing insomnia training verification in a fifth insomnia training stage through an insomnia severity table, and entering a sixth insomnia training stage after the insomnia training is completed;
the problem of the insomniac is solved in time, and the better training is helped to be carried out by the insomniac.
When the current training stage of the user is a sixth insomnia training stage, continuously recording according to the recording mode in the fourth insomnia training stage, and forming a sixth sleep log after recording preset days;
updating the work and rest time table for the third time according to the sleep log of the sixth insomnia training stage; according to the work and rest time table updated for the third time, the corresponding time of getting on bed is adjusted for the fourth time by combining the sleep suggestion;
and performing insomnia training verification in a sixth insomnia training stage through the insomnia severity table to finish the training of the insomnia training course.
By means of the method for cognitive behavior training of insomnia, the user can improve insomnia symptoms automatically, the ability of the user to rationally see and solve problems is enhanced, and the user can adapt to life better.
Preferably, in step S3, when the pre-selected training course is a forced training course, the training interface implements the cognitive behavior training of the user according to the training content corresponding to the training stage by combining the training stage where the user is currently located:
when the current training stage of the user is a first compulsive training stage, acquiring a compulsive disorder recording log of the user, wherein the compulsive disorder recording log comprises the occurrence date, time, stimulus events, thinking response, behavior response, compulsive consequences and subjective discomfort unit scores, and entering a second compulsive training stage after recording preset days;
wherein, the subjective discomfort unit is a standard scale which brings pain to people by compulsive thinking, 0 is a painless situation, such as a completely relaxed and deep sleep state; a score of 100 is the most painful condition experienced or imaginable to date. According to subjective discomfort units, recording and scoring the things which bring the user with the feeling of compulsive pain, and forming a compulsive disorder recording log. The user needs to keep track of the occurrence of symptoms at any time.
When the training stage of the user is the second forced training stage, the training of the forced training stage is carried out by an exposure response prevention method:
making an exposure grade table according to a compulsive disorder recording log in a first compulsive training stage, wherein the exposure grade table is sorted from low to high according to subjective discomfort unit scores in the compulsive disorder recording log, each subjective discomfort unit score corresponds to one exposure symptom, and the exposure grade table is continuously updated;
wherein, the exposure grade table is made, and whether all symptoms are monitored or not is checked one by checking the symptoms in the symptom diary of the days and whether the self compulsive symptoms are recorded at any time is achieved; the exposure rating chart was obtained by rearranging the compulsive symptom orderings from low to high Degrees of Suffering (SUDs).
Starting to exercise exposure items according to exposure symptoms corresponding to the middle subjective discomfort unit scores in the exposure grade table until the exposure symptoms corresponding to the highest subjective discomfort unit scores in the exposure grade table are subjected to exercise exposure items, and completing one exposure exercise, wherein the exposure items comprise real exposure and imagination exposure;
exposure practice is generally initiated with symptoms with moderate SUDs scores. If the highest SUDs score in the symptom diary is 80 points, and the corresponding symptom is 'direct touch to a garbage can and no hand washing can be carried out immediately', the symptom of 40 points can be selected for exposure practice, and after the pain degree caused by the exposure can be basically borne, the symptom with higher SUDs score is selected; the symptoms until the highest degree of suffering are also adequately exercised.
Where realistic exposure means that the individual is directly facing the stimuli that cause anxiety fear. Such as a seat in a public place, a wall surface, a toilet in a public toilet, etc., by a patient who is afraid of bacteria. Many symptoms have no way to arrange for realistic exposures, such as the absence of a check switch resulting in the appliance killing the mind of the family, impulsions about profanity or toronto, etc. These can adopt imagination to expose, write down the situation that oneself can't tolerate, read aloud repeatedly; or the content is recorded for repeated listening, so that the mind can imagine the anxiety and fear of making oneself extremely uncomfortable in the body, and the content is subjected to a long enough time. Imagine that the exposed design needs to be focused on details, which can describe in detail when, where, what happened, what thoughts, feelings, spoken tone, what sounds, what tastes, what people around are saying, what do it, etc. As vivid and detailed as possible.
Repeatedly carrying out exposure project exercises for multiple times until the user achieves the expected effect, and entering a third forced training stage;
among them, the exercise of the exposure item is trained by exposure response prevention therapy, which is a cognitive behavioral therapy that helps learning to cope with obsessive-compulsive thinking and compulsions. When practised, the use of conventional obsessive-compulsive behaviour is not allowed to reduce the stress until the anxiety is spontaneously relieved, with deliberate, prolonged exposure to the conditions that cause obsessive-compulsive, painful and encourage the adoption of obsessive-compulsions. Repeated and repeated practice is performed, the stress environment is assisted, even if no compulsion is found, the disaster can not happen, and the uncertainty of the human life is gradually accepted.
For example, when A starts exposure practice, the exposure item selected by A is that the user touches his face after touching the trash can; pre-established ceremonial stopping rules require that he be unable to wash his hands. Namely, the A is exposed to the fear (the hands contacting the garbage can touch the face of the A) intentionally, and evasion is limited and/or anxiety is reduced by washing hands and the like. At this time, A can generate strong emotion and/or body reaction, the user feels that bacteria pollute the palm of the user through the garbage can, and the user can erode the body of the user by touching the face of the user, so that the user is completely phagocytosed by the bacteria, the user can breathe smoothly, sweat is dribbling, the user collapses quickly, the SUDs score rises quickly, and the user enters a stress state. However, due to the lack of real danger, over a certain period of time (typically within 90 minutes, depending on the individual), the body of a will quickly realize that this high degree of anxiety is unnecessary, the stress state of the body is relieved, and this information is simultaneously fed back to the emotional center of the brain, so that the emotional and somatic anxiety sensations will naturally be relieved, until they disappear. The exercise is repeated. This second repetition of the exercise will be felt to be much more adaptive and will slow down the anxiety faster than before, since the experience of the previous exercise tells a that it is safe. Repeating the exercise several times, a will find that his highest SUDs score per experience is gradually decreasing and the time required for natural recovery is also gradually decreasing. This is the goal of our training. We do not change the stimuli during ERP treatment because the trash can itself is not wrong and what needs to be changed is the excessive anxiety response to the stimuli. Because, whether avoidance or ceremonial action is taken, the perception of anxiety in this situation will not always exist. Even if the ceremony is not fulfilled, the feared event may or may not occur, and there is no necessary relationship between the two.
When the current training stage of the user is a third forced training stage, obtaining an award list, wherein the award list comprises behaviors which the user wants to do and corresponding award contents;
selecting exposure items for exercise according to the exposure level table;
performing corresponding exercises (including real exposure exercises and imagination exposure exercises) according to the exposure items of the selected exercises, and entering a fourth forced training stage after the exercises are completed;
when the current training stage of the user is a fourth forced training stage, repeatedly performing exposure exercise according to the exposure symptoms corresponding to the lowest subjective discomfort unit score in the exposure grade table until habituation is generated;
after the practice is finished, performing exposure practice of the exposure symptom corresponding to the next subjective discomfort unit score, after the exposure symptom corresponding to the highest subjective discomfort unit score is subjected to repeated exposure practice, habituating, ending the practice, generating an exposure exercise list, and entering a fifth forced training stage;
when the current training stage of the user is a fifth forced training stage, carrying out exercise review test;
and after the test is finished, making a life plan, and finishing the training of the forced training course.
By means of the method for carrying out forced cognitive behavior training, the user can improve forced symptoms by himself, the ability of the user to rationally see and solve problems is enhanced, and the user can adapt to life better.
Preferably, the three training courses of depression, anxiety and insomnia further comprise: the user is evaluated before each training session, and the results of the evaluation are displayed in the form of a chart. The method comprises several display forms of a data view, a line graph and a bar graph, and the evaluation result chart can be downloaded and stored.
Preferably, in the four courses of training of depression, anxiety, insomnia and obsessive-compulsive, the following are also included: the homework of the user and the feedback of the corresponding homework are obtained before each training stage. Better training effect is realized by feeding back better adjustment training content.
Preferably, before step S1, for the first registered user, the method further includes:
acquiring registration information of a user;
completing registration according to the registration information of the user and entering a personal data page;
and obtaining the personal information of the user on the personal data page. The user who registers for the first time needs to fill in some relevant information according to the instruction, and the user self is subjected to auxiliary evaluation.
Preferably, in the four training courses, a training assisting relationship is established with the relevant hospitals, and the training results are improved through professional suggestions given by doctors.
Specifically, a certain authority is set for a doctor, and the doctor can see the training condition of a user receiving training, including a corresponding evaluation record, a statistical chart of evaluation results, a chart of user training falling conditions, home operation of the user, feedback interaction, a newly added user and the like. Meanwhile, the hospital responsible person can check the general training condition of visitors in each department. The department leader can view the training situation of each doctor visitor, and the situation is presented in the form of a chart or a table.
Preferably, before entering a new training stage of each course, the visitor sends a message to the user to remind the visitor to enter the training of the new stage in time, and the doctor can also select some patients (searching by name) to send short messages for return visits.
Preferably, in the four courses of training of depression, anxiety, insomnia and obsessive-compulsive, the following are also included:
and obtaining the guidance suggestions of the doctor through the message frame according to the family work of the user and the feedback of the corresponding family work.
After the doctor finishes the family operation performed by the visitor, the doctor can give some professional feedback to the visitor, the feedback can see a pop-up box fed back by the doctor after the visitor logs in, the visitor can select to view the feedback immediately or later, and the feedback can also view corresponding feedback in the family operation of corresponding times, so that the course training page is friendly and intelligent. For example, in anxiety training, the data of the biofeedback instrument can be combined in exposure training and breathing training for training, different relaxation audios can be selected for relaxation training in combination with voice guidance, and the anxiety level is trained step by step to gradually achieve the treatment effect.
In a second aspect, the present invention provides a cognitive behavioral training system 10, comprising:
the login module 101 is used for acquiring login request information of a user and realizing login;
the training course selection module 102 is configured to enter a course training page corresponding to a preselected training course after login, and select a training course, where the training course includes four training courses, namely depression, anxiety, insomnia, and compulsion, each course includes multiple training stages, and the course training page includes training content corresponding to each training stage;
the cognitive behavior training module 103 is configured to implement cognitive behavior training on the user according to a training course selected in advance, in combination with a training stage where the user is currently located, and according to training content corresponding to the training stage in a training interface.
According to the cognitive behavior training system 10, the user logs in the platform through the network, autonomous cognitive behavior training can be performed anytime and anywhere, cognitive deviation of the user is improved, recurrence is prevented and reduced, user experience is improved, and the system can be used as a system training tool for basic skills and concepts of a cognitive behavior therapist.
Example two
Based on the cognitive behavior training method and system provided by the first embodiment, in three training courses of depression, anxiety and insomnia, the user is evaluated before each training period, the evaluation result is displayed in the form of a graph, the evaluation data used for obtaining the evaluation result directly reflects the training result of the current user, and has a great auxiliary effect on behavior cognitive training, so that how the evaluation data clearly and accurately reflects the data in the form of the graph is a technical problem to be solved by the embodiment, and based on this, preferably, the evaluation data is displayed in the form of a quartile graph in the embodiment, specifically:
defining a data grid Gx and determining the display scale of an X axis;
and carrying out configuration, scanning and reading steps of the evaluation data, wherein the steps comprise: carrying out evaluation data configuration according to the independent variable X and the dependent variable Y; acquiring the minimum value and the maximum value of the independent variable X, and correcting the maximum value and the minimum value according to the value interval; scanning the evaluation data, reading the X and Y values of each record: x and y, calculating a data grid Gx corresponding to the x and the y, and storing the data into the Gx;
analyzing the stored data and correcting the X-axis display scale, and further calculating the quartile of the data in each data grid Gx of each scale level; when the number of Gx in the scale of a certain level is less than 2 times of the number of Gx of the upper level, deleting the scale of the certain level;
adopting a quartering bitmap to perform data display steps, comprising: the display can be carried out by modifying the upper limit or the lower limit in a single direction and dragging the whole range, the whole range dragging is realized by switching to zoom the Gx display scales, the display can be carried out by selecting one region, and the display is detailed information in the corresponding data grid Gx.
By the method, the evaluation data are configured, scanned and read, and are displayed in the form of the quadrant bitmap, and the evaluation data are visually displayed, so that the data can be clearly and accurately displayed, and the cognitive behavior training is assisted.
Wherein, the display scales are 4 and can be switched mutually. Wherein, calculating the quartile of the data in each data grid Gx of each scale level comprises: lowest order, one quarter order, median order, three quarter order, and highest order. Correcting the maximum value and the minimum value according to the value interval; the minimum value and the maximum value are multiples of the power n (n is an integer) of 10, that is, Xmin (or Xmax) ═ m × 10^ n. If the actual value range of X is [0.1, 983.7], the minimum value of X after trimming is 0 and the maximum value is 1000, namely the value range is: [0, 1000]. The corrected X-axis value interval is divided into a series of equidistant Gx, the space scale Sx of Gx is dynamically identified as the n-th power of 10 (n is an integer), i.e. s is 10^ n, and possible values are 1, 10, 100, 1000000, 0.1, 0.01, etc. Meanwhile, in order to support the zooming function, the system supports 3 Gx display scales simultaneously and supports switching (n is continuous, and each time the switching is carried out, the corresponding zooming is carried out by 10 times). The 4 Gx display scales are dynamically identified, the identification standard is that the X axis is equally divided into 10-100 Gx when the scale is displayed at the maximum, if the distribution interval of the X data is 0 to 50000, then the display scales of the Gx supported by the system will be: 1. 10, 100, 1000.
The evaluation data is scanned, X, Y values x and y of each record are read, data grids Gx corresponding to x and y are calculated, and the data are stored in the Gx. If X is 155.3 and the X-axis scale is "10", 155.3/10 is 15.53, Gx is Gx {150, 160}, and if the scale is 1, Gx {155, 156 }.
After the evaluation data are read, the stored data are analyzed, the X-axis display scale is corrected, and if the number of the effective Gx in the scale of a certain small level (if the number of records in the Gx is greater than 0, the Gx is called to be effective) is less than 2 times of the number of the effective Gx of the upper level, the scale is deleted. The reason for deleting the scale is that when zooming in to that level, the information is not increased much and the actual data detail is not effectively zoomed in. And determining the largest scale of the reserved effective display scales as the scale of the initial display.
EXAMPLE III
Based on the cognitive behavior training method and system provided by the first embodiment and the quartile graph display method for the evaluation data in the second embodiment, in four training courses of depression, anxiety, insomnia and compulsion, the strength and content of the training courses can be adjusted based on the psychological state of the user, for example, the psychological state of the user is stable in a recent period of time, and the training strength can be increased; if the user's psychological state is unstable in a recent period of time, and the fluctuation is big, then suitably reduce the training to alleviate training intensity, like this according to every user's different psychological state, intelligent adjustment training course promotes user experience, provides a psychological state's decision-making method in this embodiment, specifically does:
determining at least two mental state indicators describing the mental state of the test individual; designing induced psychological state change experiments of different stimulation modes, acquiring and acquiring psychological state index data of a tested individual in real time, and constructing training sets corresponding to different psychological states of the tested individual;
presetting the importance degree of mental state index data in a training set corresponding to different mental states, further constructing judgment matrixes of the mental state index data corresponding to different mental states, and calculating weight matrixes of the mental state index data in the training set corresponding to different mental states and the maximum characteristic values of the corresponding judgment matrixes;
respectively multiplying the mental state index data in the training set corresponding to different mental states by corresponding weight matrixes to obtain mental state index data matrixes of the training set corresponding to different mental states and storing the mental state index data matrixes in the training set;
collecting psychological state index data of a test individual under non-experimental conditions, multiplying the psychological state index data by weight matrixes corresponding to different psychological states respectively, and then making a difference with the corresponding elements in the training set psychological state set to obtain a difference matrix; and if the absolute value of any element of the difference matrix is smaller than the maximum eigenvalue corresponding to the element in the current training set psychological state set, judging that the psychological state of the tested individual is the psychological state corresponding to the element in the current training set psychological state set.
The psychological state index data comprises a facial micro-expression image characteristic value and physiological index data. The specific process of acquiring and obtaining the psychological state index data of the tested individual in real time comprises the following steps:
acquiring facial micro-expression images and physiological index data in real time;
according to a pre-constructed two-dimensional visual angle face model, extracting the characteristic value of the facial micro expression image, further acquiring the characteristic value of the facial micro expression image of the tested individual, and then combining the acquired physiological index data to obtain the psychological state index data of the tested individual.
The real-time collection of the facial micro-expression images requires that a user opens a camera of a user terminal while recording an event so as to collect the facial micro-expressions of the user. Specifically, a two-dimensional view face model including a front face and a side face is established.
The frontal perspective model consists of 30 features, 25 of which are determined by feature points on 19 faces, the rest being some of the mouth and chin shape features. The face model of the side consists of 10 face contour points, corresponding to the extreme points of the side contour rate. Firstly, the most significant facial feature outlines are located, and then corresponding features are extracted aiming at an input multi-view image. Firstly, the most significant facial feature outlines are located, and then corresponding features are extracted aiming at an input multi-view image.
The collected n expression images are divided into k classes and expressed as { X1,X2,...,XK}; class i XiContaining niAn image. Vectorizing all images to form a data matrix A with dimension of N × N, wherein each column of the matrix A is the embodiment of vectorization of an image matrix element, and setting a transformation G belonging to RnEach column a of Ai(1. ltoreq. i.ltoreq.n) vector b mapped from an N-dimensional space to an I-dimensional spacei
Two scatter matrices are defined: within-class scatter matrix SWAnd inter-class scatter matrix SbRespectively defined as:
Figure GDA0002327675530000321
wherein m isiAnd representing the intra-class mean of the ith class expression image, and m represents the overall mean of all the images, the optimal change is the maximum characteristic value of G.
In the embodiment, the characteristic value of the facial micro-expression image is extracted through the two-dimensional visual angle face model, so that the most obvious face characteristic outline can be accurately obtained, the corresponding characteristics of the received multi-visual angle image can be conveniently and accurately extracted, and a foundation is laid for accurately judging the psychological state of the tested individual.
Wherein the physiological index data includes: heart rate, body temperature, and respiratory rate. The experiment for inducing the change of the mental state of different stimulation modes, such as inducing the change of the mental state of the test individual by using stimulation modes including external force, language and substance, in the embodiment, the mental state change of the user is grasped in a way that the user records events by himself.
In the embodiment, the mental state of the tested individual is comprehensively and more accurately described by utilizing the facial micro-expression image characteristic value and the multi-dimensional data of the physiological index data, so that the error caused by describing the mental state of the tested individual by a single data index is avoided.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.

Claims (1)

1. A cognitive behavior training system, comprising:
the login module is used for acquiring login request information of a user and realizing login;
the training course selection module is used for entering a course training page corresponding to a pre-selected training course after logging in to select the training course, wherein the training course comprises four training courses of depression, anxiety, insomnia and compulsion, each course comprises a plurality of training stages, and the course training page comprises training content corresponding to each training stage;
the cognitive behavior training module is used for realizing cognitive behavior training on the user according to the preselected training course and the training stage where the user is currently located in a training interface according to the training content corresponding to the training stage;
the cognitive behavior training module is specifically configured to:
when the current training stage of the user is a first anxiety training stage, acquiring at least one event recorded by the user every day, including the time and content of the event, the current emotion information and the evaluation information of the event, and forming a first anxiety thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first anxiety thinking recording list, and entering a second anxiety training stage after the thinking mode is completed;
when the current training stage of the user is the second anxiety training stage, continuing recording according to the recording mode in the first anxiety training stage, and forming a second anxiety thinking recording list after recording the preset number of days;
performing relaxation training once a day according to the second anxiety thinking recording list, performing relaxation training according to the preset number of days, and entering a third anxiety training stage after completion;
when the current training stage of the user is the third anxiety training stage, continuing recording according to the recording mode in the first anxiety training stage, and forming a third anxiety recording list after recording the preset number of days;
combining the third anxiety thinking recording list according to a plurality of antagonistic thinking methods, and forming a first anxiety antagonistic thinking recording list after the antagonistic thinking training for the preset number of days;
performing anxiety grade division on the event according to the first anxiety thinking resistance recording list to form an anxiety grade list, and entering a fourth anxiety training stage after the anxiety grade division is completed;
when the training stage of the user is the fourth anxiety training stage, continuing to perform the thinking resistance training according to the multiple thinking resistance methods, and forming a second thinking resistance record list after performing the thinking resistance training for the preset number of days;
acquiring active thinking records of the user in the antagonistic thinking training, forming an anxiety active thinking record list and storing the anxiety active thinking record list;
performing exposure training and breathing training according to different anxiety grade events in the anxiety grade list, and entering a fifth anxiety training stage, wherein the exposure training and the breathing training are continued until the anxiety grade in the anxiety grade list is reduced to a specified standard, the training is ended, and the fifth anxiety training stage is entered;
when the current training stage of the user is the fifth anxiety training stage, performing thinking resistance consolidation training according to a plurality of thinking resistance methods, performing intensive training according to the anxiety active thinking record list by means of an image training method, a problem making method and a corresponding solution method after the practice for the preset number of days, and entering a sixth anxiety training stage after the completion;
when the current training stage of the user is the sixth anxiety training stage, performing anxiety training verification through an anxiety self-measuring table to finish the training of the anxiety training course;
the cognitive behavior training module is further configured to:
when the preselected training course is a depression training course, combining the training stage where the user is currently located, and according to the training content corresponding to the training stage, realizing the cognitive behavior training of the user in a training interface:
when the current training stage of the user is a first depression training stage, acquiring at least one event recorded by the user every day, wherein the event comprises the time and content of the event, the current emotion information and evaluation information of the event, and forming a first depressed thinking recording list after recording preset days;
analyzing the thinking mode of the user according to the first depressed thinking recording list, and entering a second depressed training stage after the thinking mode is completed;
when the training stage of the user at present is the second depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a second depression thinking recording list after recording the preset number of days;
performing activity arrangement training once a day according to the second depressed thinking recording list, and entering a third depressed training stage after the training is finished for a preset time;
when the training stage of the user at present is the third depression training stage, continuing recording according to the recording mode in the first depression training stage, and forming a third depression thinking recording list after recording the preset number of days;
according to multiple antagonistic thinking methods, combining the third depression thinking record list, and forming a first depression antagonistic thinking record list after the preset days of the antagonistic thinking training;
performing the activity arrangement training for the preset number of days according to the activity arrangement training in the second depression training stage, obtaining the implementation situation of the event in the activity arrangement training and the mood after the implementation, and entering a fourth depression training stage after the completion;
when the training stage of the user at present is the fourth depression training stage, acquiring active thinking records of the user in the antagonistic thinking training to form a depression active thinking record list for storage;
training through the depression active thinking recording list, changing attribution modes and task processing modes of the user, and entering a fifth depression training stage;
when the training stage of the user is the fifth depression training stage, performing intensive training by a method of formulating problems and corresponding solutions according to the depression active thinking recording list, and entering a sixth depression training stage after the intensive training is completed;
when the current training stage of the user is a sixth depression training stage, performing verification of depression training through a depression self-measuring scale to finish training of the depression training course;
the cognitive behavior training module is further configured to:
when the preselected training course is an insomnia training course, combining the current training stage of the user, and realizing the cognitive behavior training of the user in a training interface according to the training content corresponding to the training stage:
when the current training stage of the user is a first insomnia training stage, acquiring sleep log information recorded by the user every day, wherein the sleep log information comprises bed-getting time, bed-falling time, wake-up time, bed-getting-up time, accumulated bed-falling time, accumulated sleep-falling time and daily dozing times of the user at night, forming a sleep log after recording preset days, and entering a second insomnia training stage;
when the current training stage of the user is the second insomnia training stage, continuously recording according to the recording mode in the first insomnia training stage, and forming a second sleep log after recording the preset number of days;
performing insomnia training by a sleep knowledge learning method according to the second sleep log, performing insomnia training verification of a second insomnia training stage by an insomnia severity index table after the insomnia training is performed for the preset number of days, and entering a third insomnia training stage after the insomnia training is completed;
when the current training stage of the user is the third insomnia training stage, continuously recording according to the recording mode in the second insomnia training stage, and forming a third sleep log after recording the preset number of days;
calculating the average bed time, the sleeping time and the sleeping efficiency per night according to the third sleeping log;
calculating to obtain the time when the user should be in the bed according to the sleep time and the ideal sleep efficiency, and determining the corresponding time when the user gets in the bed and the time when the user gets out of the bed;
according to the corresponding bed-getting time and the bed-getting-up time, combining with a sleep suggestion, after a week of training, carrying out first adjustment on the corresponding bed-getting-up time to form a work and rest time table;
performing insomnia training verification of the third insomnia training stage through an insomnia severity table, and entering a fourth insomnia training stage after the insomnia training verification is completed;
when the current training stage of the user is the fourth insomnia training stage, continuously recording according to the recording mode in the third insomnia training stage, and forming a fourth sleep log after recording the preset number of days;
performing behavior training through a stimulation control method according to the fourth sleep log, and updating the work and rest time table for the first time;
according to the first updated work and rest time table and in combination with the sleep suggestion, carrying out second adjustment on the corresponding time of getting to bed;
performing insomnia training verification of the fourth insomnia training stage through the insomnia severity index table, and entering a fifth insomnia training stage after the insomnia training verification is completed;
when the training stage of the user is the fifth insomnia training stage, acquiring a feedback problem of the user, and answering the feedback problem;
continuing to record according to the recording mode in the fourth insomnia training stage, and forming a fifth sleep log after recording the preset number of days;
according to the fifth sleep log, in combination with the answer to the feedback question, the work and rest time table is updated for the second time;
according to the second updated work and rest time table, in combination with the sleep suggestion, the corresponding time of getting to bed is adjusted for the third time;
performing insomnia training verification of the fifth insomnia training stage through the insomnia severity index table, and entering a sixth insomnia training stage after the insomnia training verification is completed;
when the current training stage of the user is the sixth insomnia training stage, continuously recording according to the recording mode in the fourth insomnia training stage, and forming a sixth sleep log after recording the preset number of days;
updating the work and rest time table for the third time according to the sleep log of the sixth insomnia training stage;
according to the work and rest schedule updated for the third time, the corresponding time of getting to bed is adjusted for the fourth time by combining the sleep suggestion;
performing insomnia training verification of the sixth insomnia training stage through an insomnia severity index table to finish training of the insomnia training course;
the cognitive behavior training module is further configured to:
when the preselected training course is a forced training course, combining the training stage where the user is currently located, and implementing the cognitive behavior training of the user in a training interface according to the training content corresponding to the training stage:
when the current training stage of the user is a first compulsive training stage, acquiring an obsessive compulsive disorder recording log of the user, wherein the obsessive compulsive disorder recording log comprises the occurrence date, time, stimulus events, thinking response, behavior response, compulsive consequences and subjective discomfort unit scores, and entering a second compulsive training stage after recording preset days;
when the training stage in which the user is currently positioned is the second forced training stage, performing training of the forced training stage by an exposure response prevention method:
making an exposure grade table according to a compulsive disorder recording log in the first compulsive training stage, wherein the exposure grade table is sorted from low to high according to subjective discomfort unit scores in the compulsive disorder recording log, each subjective discomfort unit score corresponds to one exposure symptom, and the exposure grade table is continuously updated;
starting to exercise exposure items according to exposure symptoms corresponding to the intermediate subjective discomfort unit scores in the exposure level table until the exposure symptoms corresponding to the highest subjective discomfort unit scores in the exposure level table are subjected to exercise of the exposure items, and completing one exercise of the exposure items, wherein the exposure items comprise real exposure and imagination exposure;
repeating the exposure project exercises for a plurality of times until the user achieves the expected effect, and entering a third forced training stage;
when the training stage of the user is the third forced training stage, obtaining an award list, wherein the award list comprises behaviors which the user wants to do and corresponding award contents;
selecting exposure items of exercises according to the exposure level table;
performing corresponding exercises according to the exposure items of the selected exercises, and entering a fourth forced training stage after the exercises are completed;
when the training stage of the user is the fourth forced training stage, repeatedly performing exposure exercise according to the exposure symptom corresponding to the lowest subjective discomfort unit score in the exposure grade table until habituation is generated;
after the practice is finished, performing exposure practice of the exposure symptom corresponding to the next subjective discomfort unit score, after the exposure symptom corresponding to the highest subjective discomfort unit score is subjected to repeated exposure practice, habituating, ending the practice, generating an exposure exercise list, and entering a fifth forced training stage;
when the training stage where the user is currently located is the fifth forced training stage, performing exercise review test;
and after the test is finished, making a life plan, and finishing the training of the forced training course.
CN201710309053.5A 2017-05-04 2017-05-04 Cognitive behavior training method and system Active CN107169272B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710309053.5A CN107169272B (en) 2017-05-04 2017-05-04 Cognitive behavior training method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710309053.5A CN107169272B (en) 2017-05-04 2017-05-04 Cognitive behavior training method and system

Publications (2)

Publication Number Publication Date
CN107169272A CN107169272A (en) 2017-09-15
CN107169272B true CN107169272B (en) 2020-03-27

Family

ID=59812998

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710309053.5A Active CN107169272B (en) 2017-05-04 2017-05-04 Cognitive behavior training method and system

Country Status (1)

Country Link
CN (1) CN107169272B (en)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108922292A (en) * 2018-07-27 2018-11-30 李明旭 Training method and training system for delaying the elderly's cognitive ability to fail
CN109215762A (en) * 2018-08-09 2019-01-15 上海常仁信息科技有限公司 A kind of user psychology inference system and method
CN109545330A (en) * 2018-11-30 2019-03-29 北京京师脑力科技有限公司 It is a kind of to improve the cognitive training method and system for executing function
CN110379512A (en) * 2019-05-29 2019-10-25 北京点赞无限网络科技有限公司 A kind of data assessment method and system for development sex dysfunction
CN111341417A (en) * 2020-02-11 2020-06-26 山西泉新科技有限公司 Computer social cognitive assessment and correction system
CN111921059A (en) * 2020-07-08 2020-11-13 李婧 A homework account hand saddlebag for cognitive behavior treatment
CN112185513B (en) * 2020-09-08 2024-03-29 嘉兴桐乡市镜象科技有限公司 Psychological treatment control method, psychological treatment system, terminal and medium based on CBT
CN113113114A (en) * 2021-04-07 2021-07-13 浙江工业大学 Personal plan management APP terminal interactive system based on cognitive behavioral therapy
CN113116350A (en) * 2021-04-19 2021-07-16 上海市精神卫生中心(上海市心理咨询培训中心) Depression disorder cognitive reconstruction training method, system, equipment and storage medium
CN113223665A (en) * 2021-05-13 2021-08-06 四川望里科技有限公司 Online emotional intervention system based on cognitive behavior therapy
CN113643796B (en) * 2021-10-12 2022-02-08 北京智精灵科技有限公司 Man-machine interaction method and system for cognitive correction training
CN116168805B (en) * 2023-01-20 2023-08-01 北京瑞帆科技有限公司 Thinking training device and cognitive training system for cognitive training
CN116936036B (en) * 2023-07-28 2024-03-15 北京又见一心网络文化有限公司 Insomnia positive-concept treatment task training scheme generation method and system
CN117695501B (en) * 2024-02-02 2024-05-28 北京智精灵科技有限公司 Self-help suicide idea intervention system for young people

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1724086A (en) * 2004-07-23 2006-01-25 匹克斯有限公司 Insomnia assessment and treatment device and method
CN102448368A (en) * 2009-06-04 2012-05-09 皇家飞利浦电子股份有限公司 Method and system for providing behavioural therapy for insomnia
CN103977495A (en) * 2014-04-29 2014-08-13 广州市忆明科学仪器有限公司 Instrument system for digitalized intervention treatment of autistic children

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201322958A (en) * 2011-12-13 2013-06-16 Univ Nat Cheng Kung Method for ameliorating insomnia

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1724086A (en) * 2004-07-23 2006-01-25 匹克斯有限公司 Insomnia assessment and treatment device and method
CN102448368A (en) * 2009-06-04 2012-05-09 皇家飞利浦电子股份有限公司 Method and system for providing behavioural therapy for insomnia
CN103977495A (en) * 2014-04-29 2014-08-13 广州市忆明科学仪器有限公司 Instrument system for digitalized intervention treatment of autistic children

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"抑郁症的计算机化认知行为治疗";任志洪等;《心理科学进展》;20111231;第545-555页 *

Also Published As

Publication number Publication date
CN107169272A (en) 2017-09-15

Similar Documents

Publication Publication Date Title
CN107169272B (en) Cognitive behavior training method and system
Yates et al. The mind illuminated: A complete meditation guide integrating Buddhist wisdom and brain science for greater mindfulness
Feil Validation therapy with late-onset dementia populations
Germer What is mindfulness
US20170087301A1 (en) Life maintenance mode, a brain inhibition therapy and a personal health information platform
Clark et al. Synthesis of habit theory
Murphy et al. Person-centered therapy: Past, present, and future orientations.
Sheldon Research and theory
Gerber Understanding and managing coma stimulation: are we doing everything we can?
Zarbock et al. Mindfulness for therapists: Understanding mindfulness for professional effectiveness and personal well-being
Newman et al. Cognitive‐behavioral therapy (CBT) for generalized anxiety disorder (GAD)
Scott Effective stress relievers for your life
Braime From coping to thriving: How to turn self-care into a way of life
CN113687744A (en) Man-machine interaction method and device for emotion adjustment
Gawler Peace of mind
Sadu et al. Development of the Android-Based “NADA”(Napas Diafragma) Application Strategy for People of Productive Age Towards Mentally Healthy Indonesia
Ogden Building somatic resources: The theory and practice of sensorimotor psychotherapy in the treatment of trauma
Scott 8 Keys to Stress Management (8 Keys to Mental Health)
Rossman The Worry Solution: Using breakthrough brain science to turn stress and anxiety into confidence and happiness
Lago Innovations in Research and Development of Scientific Procedures to Reach the Success and the Excellence by Means of Psychology Applied to the High Performance
Starr Neurofeedback: the first fifty yearsdmy story
Ottoboni et al. An integrative body therapy approach: The Neo-Functionalism approach
Thomas Using the Occupational Therapy Practice Framework
Mun Brains, Breakthroughs and Beyond: True Stories of How Groundbreaking Methods In Neuroplasticity Changed The Impossible Into Possible
Leikert The Bodily Unconscious in Psychoanalytic Technique

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
GR01 Patent grant
GR01 Patent grant
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Wang Chun

Inventor after: Zhang Ning

Inventor after: Li Huifang

Inventor before: Li Huifang

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20211104

Address after: Nanjing Brain Hospital, 264 Guangzhou road, Nanjing, Jiangsu 210029

Patentee after: Wang Chun

Patentee after: Zhang Ning

Address before: Room 2401, building 2, international entrepreneurship Park, Shangdi 7th Street, Haidian District, Beijing 100085

Patentee before: BEIJING XINHAI NAVIGATION EDUCATION TECHNOLOGY CO.,LTD.