Intelligent emotion feedback mental rehabilitation system

Abstract

The invention provides an intelligent emotion feedback mental rehabilitation system, and belongs to the technical field of emotion rehabilitation. The rehabilitation system comprises a registration unit used for receiving registration information of a target patient, and an anonymization unit used for anonymizing the registration information. Group recommendation unit for recommending at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for a target patient based on an anonymized personal tag and an anonymized diagnostic tag, and for prompting the target patient to select at least one first emotional rehabilitation group and at least one second emotional rehabilitation group from recommendation results given by the group recommendation unit and the second emotion rehabilitation group is added into the group selection unit. According to the technical scheme provided by the invention, the targeted emotion feedback type mental rehabilitation strategy can be intelligently executed based on the group information matched with the accurate label, so that the mental rehabilitation experience of related patients is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of emotional rehabilitation, and in particular relates to an intelligent emotional feedback mental rehabilitation system. Background Art

[0002] Patients with affective disorders usually refer to psychiatric patients with certain affective disorder symptoms. Common affective disorder symptoms include mania, depression, emotional disorder / irritability, frequent sadness, sadness / low mood, irritability, poor sleep (insomnia) and even suicidal and self-abuse tendencies. Clinically, corresponding antipsychotic drugs are usually given for treatment, and medication in the early stages of symptoms can effectively relieve related symptoms.

[0003] However, in addition to the typical clinical symptoms mentioned above, mental patients are often accompanied by varying degrees of social barriers due to their susceptibility to emotional fluctuations and psychological symptoms, making it difficult for them to communicate normally with others, which seriously affects their social functions. In addition, in the self-awareness of mental patients, they will consciously be on the margins of society. Mental illnesses not only face the mental symptoms and physical pain brought about by the disease itself, but also bear the heavy pressure of the symbolic meaning imposed on the disease. In this case, drug treatment alone cannot achieve the expected rehabilitation purpose.

[0004] To this end, the Chinese invention patent application with publication number CN106295184A proposes an intelligent wearable device for emotional rehabilitation, which provides stimulation to the user at the conscious and subconscious levels, and at the same time combines nasal injection of oxytocin to mobilize the empathy nuclei in the user's brain to activate the corresponding neuronal activity, so that the brain reshapes the empathy ability to restore the user's symptoms of lack of empathy and emotional indifference, that is, to allow the user to form a conditioned empathy ability to increase the level of empathy, thereby achieving the effect of emotional rehabilitation.

[0005] However, the above-mentioned program still provides relevant treatment at the individual level, and fails to take into account the social value attributes, group value attributes, and emotional value attributes required for the relevant rehabilitation process. Patients cannot truly experience emotional feedback, and the rehabilitation program has certain limitations. Summary of the invention

[0006] In view of the above technical problems, the present invention proposes an intelligent emotional feedback mental rehabilitation system, and the technical solution of the intelligent emotional feedback mental rehabilitation system includes: A registration unit, used to receive registration information of a target patient, wherein the registration information includes basic personal information and personal diagnosis information; an anonymization unit, used to anonymize the registration information to obtain at least one anonymized personal label and at least one anonymized diagnostic label; a grouping recommendation unit, configured to recommend at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for the target patient based on the anonymized personal label and the anonymized diagnostic label; a group selection unit, used to prompt the target patient to select at least one first emotional rehabilitation group and at least one second emotional rehabilitation group to join from the recommendation results given by the group recommendation unit; Wherein, each of the first emotional rehabilitation groups corresponds to at least one first rehabilitation community unit, and the first rehabilitation community unit provides a diagnostic emotional rehabilitation program for the first emotional rehabilitation group; Each of the second emotional rehabilitation groups corresponds to at least one second rehabilitation community unit, and the second rehabilitation community unit provides a personal emotional rehabilitation plan for the second emotional rehabilitation group.

[0007] The group recommendation unit recommends at least one first emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label D, specifically including: Each of the first emotional rehabilitation groups includes N registered patients, each of which has an anonymized personal label Pi and an anonymized diagnostic label Di, i=1, 2, ..., N; N is an integer greater than 2; The first emotional rehabilitation group is denoted as G1 = {(P1, D1), (P2, D2), …, (PN, DN)}; For each first emotional rehabilitation group, when the similarity between the anonymous personal label Pi corresponding to each registered patient contained therein and the anonymous personal label P of the target patient is greater than a preset first threshold, the first emotional rehabilitation group is recommended as the first emotional rehabilitation group.

[0008] The group recommendation unit recommends at least one second emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label T, specifically including: Get the anonymized personal label set PSet of registered patients; Determine the target personal tag Pset0 that has the greatest similarity with the anonymized personal tag P in the anonymized personal tag set PSet; Determine a second emotional rehabilitation group set where the target personal tag Pset0 is located, wherein the second emotional rehabilitation group set includes at least one second emotional rehabilitation group; Each of the second emotional rehabilitation groups includes M registered patients, each of which has an anonymized personal label P'j and an anonymized diagnostic label D'j, j=1, 2, ..., M; M is an integer greater than 2; The second emotional recovery group is denoted as G2 = {(P'1, D'1), (P'2, D'2), ..., (P'M, D'M)}; For each second emotional rehabilitation group, when the similarity between the anonymous diagnosis label D'j corresponding to each registered patient contained therein and the anonymous diagnosis label D of the target patient is greater than a preset second threshold, the second emotional rehabilitation group is recommended as the second emotional rehabilitation group.

[0009] The diagnostic emotional rehabilitation plan is related to the personal diagnostic information, including a drug treatment plan, an instrument treatment plan, and an exercise treatment plan.

[0010] The personal emotional rehabilitation program is related to the personal basic information, including an interpersonal communication therapy program, an emotion control therapy program, and a helping skills therapy program.

[0011] The rehabilitation system further comprises: A treatment cycle adjustment unit, used to adjust the mental rehabilitation treatment cycle of the target patient; Furthermore, during each treatment cycle, the target patient first executes the diagnostic emotional rehabilitation program provided by the first rehabilitation community unit for the first emotional rehabilitation group, and then executes the personal emotional rehabilitation program provided by the second rehabilitation community unit for the second emotional rehabilitation group.

[0012] The rehabilitation system further comprises: The treatment effect evaluation unit is used to evaluate the mental rehabilitation effect of the target patient after each treatment cycle; when the evaluation result meets the preset standard, the treatment cycle adjustment unit increases the mental rehabilitation treatment cycle of the target patient.

[0013] The rehabilitation system further comprises: A scenario simulation unit, wherein when the number of online users included in each second emotional rehabilitation group is lower than a preset number, the scenario simulation unit generates a simulation scenario, and the simulation scenario replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group.

[0014] The rehabilitation system further comprises: A human-computer interaction unit, which provides a variety of human-computer interaction components, so that when the scene simulation unit replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group, the target patient utilizes the human-computer interaction component to interact with the simulation scene to execute the personal emotional rehabilitation plan.

[0015] The rehabilitation system further comprises: A wearable device, at least some of the registered users wear the wearable device, the wearable device has a sensory interaction element, and the sensory interaction element provides sensory stimulation to the registered users based on an emotion control treatment plan (a personal emotion rehabilitation plan or a diagnostic emotion rehabilitation plan).

[0016] The technical solution of the present application fully considers the social value attributes, group value attributes and emotional value attributes required for the relevant rehabilitation process, and adopts a technical solution of intelligently executing targeted emotional feedback-based mental rehabilitation strategies based on precise label matching of group information, so that patients can truly experience emotional feedback, thereby enhancing the mental rehabilitation experience of relevant patients.

[0017] Further advantages of the present invention will be further reflected in detail in the specific embodiments section in conjunction with the drawings of the specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the functional units of an intelligent emotional feedback mental rehabilitation system according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the principle of labeling the registration information of a target patient; Figure 3 It is a schematic diagram of the principle of recommending the first emotional rehabilitation group for a certain target patient; Figure 4 It is a schematic diagram of the principle of recommending a second emotional rehabilitation group for a target patient. DETAILED DESCRIPTION

[0020] The relevant embodiments of the technical solution of this application involve the collection and upload process of user data. Therefore, it should be noted that the collection and upload process of user data requires the user's permission or consent, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0021] Specifically in the embodiments of the present invention, user data includes personal registration information. However, the technical solution of the present application includes an anonymization process, that is, after the registration information is anonymized, at least one anonymized personal label and at least one anonymized diagnostic label are obtained, and the data actually used subsequently are also anonymized personal labels and anonymized diagnostic labels, which cannot identify the user's identity and will not lead to user privacy leakage. Therefore, the collection, use and processing of relevant data fully comply with the relevant laws, regulations and standards of relevant countries and regions.

[0022] On this basis, the following illustrative embodiments of the technical solution of the present application are described in detail.

[0023] See first Figure 1 , Figure 1 A schematic diagram showing the composition of functional units of an intelligent emotional feedback mental rehabilitation system according to an embodiment of the present invention.

[0024] Figure 1 The rehabilitation system includes a registration unit for receiving registration information of a target patient, an anonymization unit for anonymizing the registration information, a grouping recommendation unit for recommending at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for the target patient based on anonymized personal tags and anonymized diagnostic tags, and a grouping selection unit for prompting the target patient to select at least one first emotional rehabilitation group and at least one second emotional rehabilitation group to join from the recommendation results given by the grouping recommendation unit.

[0025] Next, the various functional units of the system are introduced in detail in the order in which the functional units perform their functions as follows: A registration unit, used to receive registration information of a target patient, wherein the registration information includes basic personal information and personal diagnosis information; an anonymization unit, used to anonymize the registration information to obtain at least one anonymized personal label and at least one anonymized diagnostic label; a grouping recommendation unit, configured to recommend at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for the target patient based on the anonymized personal label and the anonymized diagnostic label; A group selection unit, used to prompt the target patient to select at least one first emotional rehabilitation group and at least one second emotional rehabilitation group to join from the recommendation results given by the group recommendation unit; wherein each of the first emotional rehabilitation groups corresponds to at least one first rehabilitation community unit, and the first rehabilitation community unit provides a diagnostic emotional rehabilitation plan for the first emotional rehabilitation group; Each of the second emotional rehabilitation groups corresponds to at least one second rehabilitation community unit, and the second rehabilitation community unit provides a personal emotional rehabilitation plan for the second emotional rehabilitation group.

[0026] Next, combine Figure 2-Figure 4 ,right Figure 1 The various functional units of the embodiment and some implementation principles of the technical solution of the present invention are introduced in detail.

[0027] The registration unit is used to receive the registration information of the target patient, wherein the registration information includes basic personal information and personal diagnosis information.

[0028] As an example, basic personal information includes name, gender, age, blood type, marital status, etc.; personal diagnosis information includes the name of the diagnosed disease, diagnosis symptoms, and drug treatment information.

[0029] The embodiments of this section are introduced by taking the mental illness "bipolar disorder" as an example. Some relevant personal basic information and personal diagnosis information are as follows: Name: Zhang San; Gender: Female; Age: 35 Marital status: Divorced; Diagnostic information: Bipolar disorder; Symptoms: depression, mania; Drug treatment: Quetiapine fumarate; If the original personal information is used directly, there are legal risks even if the user agrees. For example, whether the current "consent" status of the mentally ill patient is valid, the original personal information may be leaked, resulting in the leakage of personal privacy, etc. Of course, the main consideration for introducing the anonymization processing unit in the present invention is that the technical solution of the present invention is aimed at mentally ill patients, and the particularity of mentally ill patients is also manifested in the possibility of behavioral capacity restrictions in certain periods of time. Therefore, this technical means is targeted at actual scenarios.

[0030] Based on this, the anonymization unit is used to anonymize the registration information to obtain at least one anonymized personal label and at least one anonymized diagnostic label.

[0031] The anonymization process in this embodiment does not simply remove personal sensitive information, but further obtains data labels.

[0032] Compared with directly using the original data information, the use of data labels can make subsequent processing faster and avoid the natural language analysis process in the subsequent processing, making the solution more efficient.

[0033] Preferably, see Figure 2 The schematic diagram of the principle of labeling the registration information of a target patient is given. Based on the personal basic information and personal diagnosis information given above, at least one anonymized personal label and at least one anonymized diagnosis label that can be obtained include: Personal labels: female, middle-aged, divorced; Diagnostic labels: bipolar disorder, depression, mania, quetiapine fumarate; Next, we enter the group recommendation and group selection stage.

[0034] When implementing the embodiments of the present invention, the corresponding hardware device also includes at least one user handheld terminal or user wearable device, etc. The user handheld terminal or user wearable device has a human-computer interaction unit, and the human-computer interaction unit includes a human-computer interaction component and a human-computer interaction interface.

[0035] Preferably, the user handheld terminal or user wearable device is configured with an emotion feedback mental rehabilitation treatment APP or other types of client software, and the client software provides a cloud server, or the client software provides intelligent emotion feedback mental rehabilitation services for a large number of relevant target patients through a cluster platform server. Therefore, there are multiple relevant target patients who have registered with the emotion feedback mental rehabilitation treatment APP or other types of client software through similar steps mentioned above.

[0036] At this time, after the client software collects a large amount of anonymized user registration information of relevant patients through the cluster platform server, it can obtain at least one anonymized personal tag and at least one anonymized diagnosis tag corresponding to each registered patient.

[0037] Then, based on the similarity between anonymous personal labels or anonymous diagnostic labels, multiple registered patients who are the same or whose similarity meets predetermined conditions are divided into different groups. Each group is called an emotional rehabilitation group. Each emotional rehabilitation group corresponds to at least one rehabilitation community unit, and the rehabilitation community unit provides an emotional rehabilitation plan for the emotional rehabilitation group.

[0038] However, unlike ordinary data clustering grouping that only gives one recommended grouping, the technical solution of the present invention is targeted at the personal emotional needs and personal diagnostic needs of psychiatric patients. The technical solution is further improved to utilize a grouping recommendation unit to recommend at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for the target patient based on the anonymized personal labels and the anonymized diagnostic labels.

[0039] Next, we will take an illustrative example and combine Figure 3-Figure 4 The above principle of recommending at least one first emotional rehabilitation group and at least one second emotional rehabilitation group is further elaborated.

[0040] An illustrative example is as follows: Registered users A, B, C, D, E, F, their corresponding anonymized personal labels and anonymized diagnostic labels are as follows: A:{anonymous personal label AP, anonymized diagnosis label AD}; B:{anonymous personal label BP, anonymized diagnosis label BD}; C:{anonymous personal label CP, anonymized diagnosis label CD}; D: {anonymized personal label DP, anonymized diagnosis label DD}; E:{anonymous personal label EP, anonymized diagnosis label ED}; F:{anonymous personal label FP, anonymized diagnosis label FD}; Assuming that after a similarity comparison of diagnostic labels, the anonymous diagnostic labels of users A, E, and F are the same or have similarities, users A, E, and F are divided into the same first emotional rehabilitation group G11; the anonymous diagnostic labels of users B, C, and D are the same or have similarities, users B, C, and D are divided into another first emotional rehabilitation group G12.

[0041] That is, G11={(AP,AD),(EP,ED),(FP,FD)};G12={(BP,BD),(CP,CD),(DP,DD)}.

[0042] Assuming that after personal label similarity comparison, the anonymous personal labels of users A, B, and F are the same or have similarities, users A, B, and F are divided into the same second emotional rehabilitation group G21; the anonymous diagnostic labels of users C, D, and E are the same or have similarities, users C, D, and E are divided into another second emotional rehabilitation group G22.

[0043] That is, G21={(AP,AD),(BP,BD),(FP,FD)};G22={(CP,CD),(DP,DD),(EP,ED)}.

[0044] It can be understood that although the above example only shows the situation that each user belongs to only one emotional rehabilitation group, in actual application, as the number of users increases and the similarity threshold used in the similarity comparison is adjusted, each user can belong to multiple first emotional rehabilitation groups or multiple second emotional rehabilitation groups. That is, each user belongs to at least one emotional rehabilitation group, including the situation that each user belongs to multiple first emotional rehabilitation groups or multiple second emotional rehabilitation groups.

[0045] Next, the situation in which each user belongs to only one emotional rehabilitation group given in the above example will be introduced. The situation in which each user belongs to multiple first emotional rehabilitation groups or multiple second emotional rehabilitation groups can be derived in a similar way.

[0046] See also Figure 3 , Figure 3 It is a schematic diagram of the principle of recommending the first emotional rehabilitation group for a target patient.

[0047] The group recommendation unit recommends at least one first emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label D, specifically including: Get the anonymized diagnostic label set DSet of registered patients; Continuing with the above example, DSet={AD, BD, CD, DD, ED, FD}; Determine the target diagnostic label Dset0 that has the greatest similarity with the anonymized diagnostic label D in the anonymized diagnostic label set DSet;

[0048] Continuing with the above example, assuming that in DSet, ED has the greatest similarity with D, then the target diagnostic label Dset0 = ED; Determine a first emotional rehabilitation group set where the target diagnostic label Dset0 is located, wherein the first emotional rehabilitation group set includes at least one first emotional rehabilitation group; Continuing with the above example, the first emotional rehabilitation group set where the target diagnostic label Dset0 is located, that is, the first emotional rehabilitation group set where ED is located is G12 (the example only contains one first emotional rehabilitation group); Each of the first emotional rehabilitation groups includes N registered patients, each of which has an anonymized personal label Pi and an anonymized diagnostic label Di, i=1, 2, ..., N; N is an integer greater than 2; The first emotional rehabilitation group is denoted as G1 = {(P1, D1), (P2, D2), …, (PN, DN)}; Continuing with the above example, the first emotional rehabilitation group G12={(BP, BD),(CP, CD),(DP, DD)}.

[0049] For each first emotional rehabilitation group, when the similarity between the anonymous personal label Pi corresponding to each registered patient contained therein and the anonymous personal label P of the target patient is greater than a preset first threshold, the first emotional rehabilitation group is recommended as the first emotional rehabilitation group.

[0050] Continuing with the above example, if the similarities between BP, CP, DP and the target patient's anonymous personal label P are all greater than the preset first threshold, the first emotional rehabilitation group G12 is recommended as the first emotional rehabilitation group.

[0051] It can be understood that with the increase in the number of users and the adjustment of the similarity threshold used in the similarity comparison, each user can belong to multiple first emotional rehabilitation groups, that is, the G12 can be multiple, and based on the adjustment of the preset first threshold, in most cases, the first emotional rehabilitation group can be recommended for the target patient.

[0052] Of course, if in extreme cases, after traversing all situations, it is still impossible to recommend a first emotional rehabilitation group for the target patient, the current target patient can be grouped separately, that is, a new first emotional rehabilitation group is created.

[0053] As mentioned above, each of the first emotional rehabilitation groups corresponds to at least one first rehabilitation community unit, and the first rehabilitation community unit provides a diagnostic emotional rehabilitation plan for the first emotional rehabilitation group.

[0054] Specifically, after the client software collects a large amount of anonymized user registration information of relevant patients through the cluster platform server, it can obtain at least one anonymized personal tag and at least one anonymized diagnostic tag corresponding to each registered patient; Based on at least one anonymous personal tag and at least one anonymous diagnostic tag corresponding to all registered patients included in the first emotional rehabilitation group, the client software can recommend a diagnostic emotional rehabilitation plan that matches the current group through the cluster platform server, and then establish a first rehabilitation community unit, similar to a shared forum, shared folder, BBS, etc., to provide a diagnostic emotional rehabilitation plan for the first emotional rehabilitation group.

[0055] For example, the client software can count all existing anonymous diagnostic labels through the cluster platform server, and use the diagnostic emotional rehabilitation plan corresponding to the diagnostic label with the highest recognition among the grouped users as the diagnostic emotional rehabilitation plan for the first emotional rehabilitation group.

[0056] Of course, generating the diagnostic emotional rehabilitation plan for the first emotional rehabilitation group may also take other forms, such as a deep learning neural network self-learning model, a large model recommendation based on artificial intelligence, etc., which will not be elaborated in detail in the present invention.

[0057] Preferably, the diagnostic emotional rehabilitation program is related to the personal diagnostic information, including a drug treatment program, an instrument treatment program, and an exercise treatment program.

[0058] and Figure 3 Similarly, see Figure 4 , Figure 4 It is a schematic diagram of the principle of recommending a second emotional rehabilitation group for a target patient.

[0059] exist Figure 4 In the method, the group recommendation unit recommends at least one second emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label T, specifically including: Get the anonymized personal label set PSet of registered patients; Continuing with the above example, PSet={AP, BP, CP, DP, EP, FP}; Determine the target personal tag Pset0 that has the greatest similarity with the anonymized personal tag P in the anonymized personal tag set PSet; Continuing with the above example, assuming that in PSet, DD has the greatest similarity with D, then the target personal label Dset0 = DD; Determine a second emotional rehabilitation group set where the target personal tag Pset0 is located, wherein the second emotional rehabilitation group set includes at least one second emotional rehabilitation group; Continuing with the above example, the second emotional rehabilitation group set where the target personal label Pset0 is located, that is, the second emotional rehabilitation group set where DD is located is G22 (the example only contains one first emotional rehabilitation group); Continuing the above example, G22={(CP,CD),(DP,DD),(EP,ED)}; Each of the second emotional rehabilitation groups includes M registered patients, each of which has an anonymized personal label P'j and an anonymized diagnostic label D'j, j=1, 2, ..., M; M is an integer greater than 2; For each second emotional rehabilitation group, when the similarity between the anonymous diagnosis label D'j corresponding to each registered patient contained therein and the anonymous diagnosis label D of the target patient is greater than a preset second threshold, the second emotional rehabilitation group is recommended as the second emotional rehabilitation group.

[0060] Continuing with the above example, if the similarities between CD, DD, ED and the target patient's anonymous diagnosis label D are all greater than the preset second threshold, the second emotional rehabilitation group G22 is recommended as the second emotional rehabilitation group.

[0061] It can be understood that with the increase in the number of users and the adjustment of the similarity threshold used in the similarity comparison, each user can belong to multiple second emotional rehabilitation groups, that is, the G22 can be multiple, and based on the adjustment of the preset second threshold, in most cases, the second emotional rehabilitation group can be recommended for the target patient.

[0062] Of course, if in extreme cases, after traversing all situations, it is still impossible to recommend a second emotional rehabilitation group for the target patient, the current target patient can be grouped separately, that is, a new second emotional rehabilitation group can be created.

[0063] As mentioned above, each of the second emotional rehabilitation groups corresponds to at least one second rehabilitation community unit, and the second rehabilitation community unit provides a personal emotional rehabilitation plan for the first emotional rehabilitation group.

[0064] Specifically, after the client software collects a large amount of anonymized user registration information of relevant patients through the cluster platform server, it can obtain at least one anonymized personal tag and at least one anonymized diagnostic tag corresponding to each registered patient; Based on at least one anonymous personal tag and at least one anonymous diagnostic tag corresponding to all registered patients included in the second emotional rehabilitation group, the client software can recommend a diagnostic emotional rehabilitation plan that matches the current group through the cluster platform server, and then establish a second rehabilitation community unit, similar to a shared forum, shared folder, BBS, etc., to provide a diagnostic emotional rehabilitation plan for the second emotional rehabilitation group.

[0065] For example, the client software can count all existing anonymous diagnostic labels through the cluster platform server, and use the diagnostic emotional rehabilitation plan corresponding to the diagnostic label with the highest recognition among the grouped users as the diagnostic emotional rehabilitation plan for the second emotional rehabilitation group.

[0066] Of course, generating a diagnostic emotional rehabilitation plan for the second emotional rehabilitation group may also take other forms, such as a deep learning neural network self-learning model, a large model recommendation based on artificial intelligence, etc., which will not be elaborated in detail in the present invention.

[0067] Preferably, the personal emotional rehabilitation program is related to the personal basic information, including an interpersonal communication therapy program, an emotion control therapy program, and a helping skills therapy program.

[0068] Preferably, the personal emotional rehabilitation program can be implemented through online scenario simulation, online actual social scenario drills, etc.

[0069] For example, the online actual social scene drills of the interpersonal communication therapy program include: creating a comfortable and relaxed communication atmosphere for patients, encouraging patients to introduce themselves and their interests and hobbies, actively showing their personal strengths, and helping patients quickly integrate into the group through the "name relay" game. Teach patients to learn to listen, look at the other person sincerely during the listening process, respond to the other person in a timely manner, make the other person feel respected, and learn to comfort the other person with comforting words. In this process, patients need to be given appropriate guidance to let them experience how to get along well with others and gradually cultivate their basic social skills.

[0070] The online actual social scenario rehearsal of the emotion control treatment program includes: selecting several words representing emotions, asking one patient to make a corresponding emotional response, and the other patients guessing whether the emotion is positive or negative, and guiding the patients to talk about experiences related to the selected words, enhancing the patients' emotional perception ability, guiding the patients to correctly realize the dangers of emotional out-of-control, grasping the opportunity, giving appropriate guidance to the patients, and instructing the patients to correctly vent their emotions, such as deep breathing and relaxation training.

[0071] The online scenario simulation of the Help Skills Treatment Program includes: organizing group members to role-play according to a specific social scenario, including bargaining for clothes, someone accidentally stepping on your foot when the bus brakes suddenly, and misunderstandings with good friends over trivial matters. After that, all members will discuss and encourage patients to communicate with each other, ask questions based on the development of the incident, express their own opinions, and summarize what they think is the best solution or the best words. Guide patients to find help correctly when they encounter difficulties, learn to "make requests" appropriately, such as clearly telling others what they want them to do and why, and thanking others in a timely manner after receiving help.

[0072] In order to better realize the above technical solution, as a further optimization; The rehabilitation system further comprises:

[0073] A treatment cycle adjustment unit, used to adjust the mental rehabilitation treatment cycle of the target patient; Furthermore, during each treatment cycle, the target patient first executes the diagnostic emotional rehabilitation program provided by the first rehabilitation community unit for the first emotional rehabilitation group, and then executes the personal emotional rehabilitation program provided by the second rehabilitation community unit for the second emotional rehabilitation group.

[0074] It can be seen that the execution sequence of the above treatment plans conforms to the basic teaching and interaction principles, which is also one of the rehabilitation strategies specifically adopted by the technical solution of the present invention for patients with mental disorders.

[0075] Preferably, the rehabilitation system further comprises: The treatment effect evaluation unit is used to evaluate the mental rehabilitation effect of the target patient after each treatment cycle; when the evaluation result meets the preset standard, the treatment cycle adjustment unit increases the mental rehabilitation treatment cycle of the target patient.

[0076] Preferably, the rehabilitation system further comprises: A scenario simulation unit, wherein when the number of online users included in each second emotional rehabilitation group is lower than a preset number, the scenario simulation unit generates a simulation scenario, and the simulation scenario replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group.

[0077] This preferred scheme can also be applied to the aforementioned extreme case where, after traversing all situations, it is still impossible to recommend a second or first emotional rehabilitation group for the target patient. In this case, the current target patient can be grouped separately, that is, a new second or first emotional rehabilitation group can be created, so that the technical scheme of the present application is more complete in its specific implementation, taking into account various clinical situations.

[0078] Preferably, the rehabilitation system further comprises: A human-computer interaction unit, which provides a variety of human-computer interaction components, so that when the scene simulation unit replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group, the target patient utilizes the human-computer interaction component to interact with the simulation scene to execute the personal emotional rehabilitation plan.

[0079] Preferably, the rehabilitation system further comprises: A wearable device, at least some of the registered users wear the wearable device, the wearable device has a sensory interaction element, and the sensory interaction element provides sensory stimulation to the registered users based on the above-mentioned emotion control treatment plan (personal emotion rehabilitation plan or diagnostic emotion rehabilitation plan).

[0080] The technical solution of the present application fully considers the social value attributes, group value attributes and emotional value attributes required for the relevant rehabilitation process, and adopts a technical solution of intelligently executing targeted emotional feedback-based mental rehabilitation strategies based on precise label matching of group information, so that patients can truly experience emotional feedback, thereby enhancing the mental rehabilitation experience of relevant patients.

[0081] The foregoing has shown and described the method embodiments and system of the present invention, but it is understandable to those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent emotional feedback mental rehabilitation system, characterized in that: The rehabilitation system comprises: A registration unit, used to receive registration information of a target patient, wherein the registration information includes basic personal information and personal diagnosis information; an anonymization unit, used to anonymize the registration information to obtain at least one anonymized personal label and at least one anonymized diagnostic label; a grouping recommendation unit, configured to recommend at least one first emotional rehabilitation group and at least one second emotional rehabilitation group for the target patient based on the anonymized personal label and the anonymized diagnostic label; a group selection unit, used to prompt the target patient to select at least one first emotional rehabilitation group and at least one second emotional rehabilitation group to join from the recommendation results given by the group recommendation unit; Wherein, each of the first emotional rehabilitation groups corresponds to at least one first rehabilitation community unit, and the first rehabilitation community unit provides a diagnostic emotional rehabilitation program for the first emotional rehabilitation group; Each of the second emotional rehabilitation groups corresponds to at least one second rehabilitation community unit, and the second rehabilitation community unit provides a personal emotional rehabilitation plan for the second emotional rehabilitation group.

2. The intelligent emotional feedback mental rehabilitation system according to claim 1, characterized in that: The group recommendation unit recommends at least one first emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label D, specifically including: Get the anonymized diagnostic label set DSet of registered patients; Determine the target diagnostic label Dset0 that has the greatest similarity with the anonymized diagnostic label D in the anonymized diagnostic label set DSet; Determine a first emotional rehabilitation group set where the target diagnostic label Dset0 is located, wherein the first emotional rehabilitation group set includes at least one first emotional rehabilitation group; Each of the first emotional rehabilitation groups includes N registered patients, each of which has an anonymized personal label Pi and an anonymized diagnostic label Di, i=1, 2, ..., N; N is an integer greater than 2; For each first emotional rehabilitation group, when the similarity between the anonymous personal label Pi corresponding to each registered patient contained therein and the anonymous personal label P of the target patient is greater than a preset first threshold, the first emotional rehabilitation group is recommended as the first emotional rehabilitation group.

3. The intelligent emotional feedback mental rehabilitation system according to claim 1, characterized in that: The group recommendation unit recommends at least one second emotional rehabilitation group for the target patient based on the target patient's anonymized personal label P and the anonymized diagnosis label T, specifically including: Get the anonymized personal label set PSet of registered patients; Determine the target personal tag Pset0 that has the greatest similarity with the anonymized personal tag P in the anonymized personal tag set PSet; Determine a second emotional rehabilitation group set where the target personal tag Pset0 is located, wherein the second emotional rehabilitation group set includes at least one second emotional rehabilitation group; Each of the second emotional rehabilitation groups includes M registered patients, each of which has an anonymized personal label P'j and an anonymized diagnostic label D'j, j=1, 2, ..., M; M is an integer greater than 2; For each second emotional rehabilitation group, when the similarity between the anonymous diagnosis label D'j corresponding to each registered patient contained therein and the anonymous diagnosis label D of the target patient is greater than a preset second threshold, the second emotional rehabilitation group is recommended as the second emotional rehabilitation group.

4. The intelligent emotional feedback mental rehabilitation system according to claim 1, characterized in that: The diagnostic emotional rehabilitation plan is related to the personal diagnostic information, including a drug treatment plan, an instrument treatment plan, and an exercise treatment plan.

5. The intelligent emotional feedback mental rehabilitation system according to claim 1, characterized in that: The personal emotional rehabilitation program is related to the personal basic information, including an interpersonal communication therapy program, an emotion control therapy program, and a helping skills therapy program.

6. The intelligent emotional feedback mental rehabilitation system according to claim 1, characterized in that: The rehabilitation system further comprises: The treatment cycle adjustment unit is used to adjust the mental rehabilitation treatment cycle of the target patient. Furthermore, during each treatment cycle, the target patient first executes the diagnostic emotional rehabilitation program provided by the first rehabilitation community unit for the first emotional rehabilitation group, and then executes the personal emotional rehabilitation program provided by the second rehabilitation community unit for the second emotional rehabilitation group.

7. The intelligent emotional feedback mental rehabilitation system according to claim 6, characterized in that: The rehabilitation system further comprises: The treatment effect evaluation unit is used to evaluate the mental rehabilitation effect of the target patient after each treatment cycle; when the evaluation result meets the preset standard, the treatment cycle adjustment unit increases the mental rehabilitation treatment cycle of the target patient.

8. The intelligent emotional feedback mental rehabilitation system according to claim 5, characterized in that: The rehabilitation system further comprises: A scenario simulation unit, wherein when the number of online users included in each second emotional rehabilitation group is lower than a preset number, the scenario simulation unit generates a simulation scenario, and the simulation scenario replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group.

9. The intelligent emotional feedback mental rehabilitation system according to claim 8, characterized in that: The rehabilitation system further comprises: A human-computer interaction unit, which provides a variety of human-computer interaction components, so that when the scene simulation unit replaces the second rehabilitation community unit to provide a personal emotional rehabilitation plan for the second emotional rehabilitation group, the target patient utilizes the human-computer interaction component to interact with the simulation scene to execute the personal emotional rehabilitation plan.

10. The intelligent emotional feedback mental rehabilitation system according to claim 9, characterized in that: The rehabilitation system further comprises: A wearable device, at least some of the registered users wear the wearable device, the wearable device has a sensory interaction element, and the sensory interaction element provides sensory stimulation to the registered users based on a personal emotional rehabilitation program or a diagnostic emotional rehabilitation program.

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