A method and system for generating a mindfulness treatment plan for patients with depression

Abstract

The present invention relates to the field of medical rehabilitation technology, and particularly to a method and system for generating a mindfulness treatment plan for patients with depression; the method includes the following steps: S1, obtaining multi-dimensional information of the patient; S2, performing normalization processing on the multi-dimensional information of the patient obtained in step S1; S3, setting multiple treatment methods, each treatment method corresponding to the multi-dimensional information of multiple patients, calculating the initial weight value of each treatment method according to the multi-dimensional information corresponding to each treatment method, and setting the mandatory tasks and optional tasks for the patient every day according to the initial weight value, so as to obtain the treatment plan for the initial stage of the patient; S4, during the treatment of the patient, setting multiple correction times, recalculating the correction weight value of each treatment method at each correction time, sorting, and resetting the treatment plan of the patient according to the new sorting; providing the best treatment method for each patient to improve the treatment effect.

Description

Technical Field

[0001] The present invention relates to the technical field of medical rehabilitation, and particularly relates to a method and system for generating a mindfulness treatment plan for depression patients. Background Art

[0002] Depression is a common mental disorder, and many people around the world are troubled by depression. Depression seriously affects the lives and work of patients. Currently, the common treatment methods for depression patients mainly include drug treatment and psychotherapy. Drug treatment is the main treatment measure for moderate to severe depressive episodes, but the disadvantage is that some drugs have relatively large adverse reactions. Psychotherapy has obvious effects on depressive episodes with obvious psychosocial factors, especially it is very helpful for the cognitive behavioral therapy of patients. In addition to the above methods, research shows that exercise is a powerful weapon against mild to moderate depression. In addition, there are meditation and music therapy, which have a positive effect on the mood regulation of depression patients, but it is usually difficult for patients to adhere to at home.

[0003] Chinese Patent CN110292378A discloses a remote rehabilitation system for depression based on closed-loop monitoring of brain waves. By analyzing the real-time feedback of electroencephalogram signals generated by depression patients during specific music, meditation, or virtual reality-based exercise, the music type, meditation time, and exercise intensity are adaptively adjusted, so as to achieve the purpose of self-assessment and rehabilitation treatment for depression patients. The virtual reality technology is used to provide a comfortable treatment environment for patients, the sensing and capture technology is used to collect electroencephalogram and exercise information, and the big data analysis method is used to evaluate and adjust the treatment plan for patients. The system includes a client side and a server side. The client side includes a virtual scene module, a rehabilitation module, an electroencephalogram acquisition module, an exercise acquisition module, a processor, and a display. The server side includes a cloud service module, a database, and a data analysis module. This system has the advantages of simple and light equipment, which is beneficial for patients to carry out rehabilitation treatment at home and in community hospitals, and is also beneficial for application and promotion.

[0004] However, the above system only adjusts the intensity of each method according to the real-time feedback of the patient's electroencephalogram signals, and does not adjust the order between each method. The best treatment method for each patient may be different, and using the same best quality method for all patients may lead to a weakening of the treatment effect.

[0005] Therefore, there is an urgent need to provide a method and system for generating a mindfulness treatment plan for depression patients, which can provide the best treatment method for each patient compared with the prior art and improve the treatment effect. [[ID= 19]]Summary of the Invention

[0006] The present invention solves the technical problems existing in the prior art, and provides a method and system for generating a mindfulness treatment plan for depression patients.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] A method for generating a mindfulness treatment plan for patients with depression, comprising the following steps:

[0009] S1. Obtain multi-dimensional information of the patient;

[0010] S2. Normalize the multi-dimensional information of the patient obtained in step S1;

[0011] S3. Set multiple treatment methods, each treatment method corresponding to the multi-dimensional information of multiple patients. Calculate the initial weight value of each treatment method according to the corresponding multi-dimensional information, sort the initial weight values from large to small, and take the top three treatment methods as the daily mandatory tasks of the patient in the initial stage, and take the fourth and fifth treatment methods as the optional tasks of the patient in the initial stage. The patient needs to perform the mandatory tasks daily and choose one of the optional tasks to perform, so as to obtain the treatment plan for the initial stage of the patient;

[0012] S4. During the treatment of the patient, set multiple correction times, and recalculate the correction weight value of each treatment method at each correction time, perform sorting, and reset the treatment plan of the patient according to the new sorting.

[0013] Further, in step S4, at each correction time, the correction weight value of each treatment method is calculated by the following formula:

[0014] ;

[0015] In the above formula, represents the correction weight value of the jth treatment method at the ath correction time, represents the basic weight of the comprehensive index, a ranges from 1 to A, and A is the total number of correction times, represents the initial weight value or the correction weight value calculated last time at the ath correction time, represents the time decay factor weight, 、 both represent parameters for controlling the decay speed, represents the current time point, represents the patient characteristic weight, represents the patient characteristic weighted value.

[0016] Furthermore, the treatment methods include mindfulness-based cognitive therapy, cognitive behavioral therapy, interpersonal psychotherapy, insomnia therapy, exercise therapy, and cognitive training therapy.

[0017] Furthermore, when the patient's age is greater than 60 years old, the weighted value of the patient characteristics for calculating interpersonal psychotherapy increases by 0.1; when the patient has an Internet-related occupation, the weighted value of the patient characteristics for calculating exercise therapy increases by 0.1; when the patient's body mass index corresponds to overweight or obesity, the weighted value of the patient characteristics for calculating exercise therapy increases by 0.1.

[0018] Furthermore, when the patient has a metabolic disease, the weighted value of the patient characteristics for calculating exercise therapy increases by 0.05; when the patient has a chronic pain disease, the weighted value of the patient characteristics for calculating mindfulness-based cognitive therapy increases by 0.05; when the patient has a cardiovascular disease, the weighted value of the patient characteristics for calculating exercise therapy and cognitive behavioral therapy increases by 0.05; when the patient has cancer, the weighted value of the patient characteristics for calculating interpersonal psychotherapy and mindfulness-based cognitive therapy increases by 0.05; when the patient has a neurological disease, the weighted value of the patient characteristics for calculating exercise therapy and cognitive behavioral therapy increases by 0.05; when the patient has a respiratory disease, the weighted value of the patient characteristics for calculating mindfulness-based cognitive therapy increases by 0.05.

[0019] Furthermore, The initial value of [[]] is 0.3 and decreases exponentially with the increase of treatment time.

[0020] Furthermore, when a is 1, is the initial weight value; when a is greater than 1, is the initial weight value calculated after re-performing steps S1 - S3 on the patient.

[0021] Furthermore, in step S3, the initial weight value of each treatment method is calculated by the following formula:

[0022] ;

[0023] In the above formula, represents the initial weight value of the j-th treatment method, where j ranges from 1 to 6, represents the weight value of the h-th multi-dimensional information corresponding to the j-th treatment method, represents the normalized value of the h-th multi-dimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

[0024] Furthermore, the multi-dimensional information corresponding to mindfulness-based cognitive therapy includes anxiety value, mindfulness level value, attentional bias value, somatic disease value, and disease recurrence times. The multi-dimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, somatic disease value, and disease recurrence times. The multi-dimensional information corresponding to interpersonal psychotherapy includes anxiety value, interpersonal problem value, adjustment disorder value, age, and somatic disease value. The multi-dimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen time, and somatic disease value. The multi-dimensional information corresponding to exercise therapy includes insomnia value, daily steps, daily sitting and lying time, somatic disease value, and body mass index. The multi-dimensional information corresponding to cognitive training therapy includes attentional bias value, memory function value, processing speed value, executive function value, and age.

[0025] Furthermore, the weight value of the anxiety value corresponding to mindfulness-based cognitive therapy is set to 0.2, the weight value of the mindfulness level value is set to 0.3, the weight value of the attentional bias value is set to 0.15, the weight value of the somatic disease value is set to 0.1, and the weight value of the disease recurrence times is set to 0.25.

[0026] Furthermore, the weight value of the anxiety value corresponding to cognitive behavioral therapy is set to 0.25, the weight value of the executive function value is set to 0.3, the weight value of the insomnia value is set to 0.2, the weight value of the somatic disease value is set to 0.1, and the weight value of the disease recurrence times is set to 0.15.

[0027] Furthermore, the weight value of the anxiety value corresponding to interpersonal psychotherapy is set to 0.2, the weight value of the interpersonal problem value is set to 0.35, the weight value of the adjustment disorder value is set to 0.25, the weight value of the age is set to 0.15, and the weight value of the somatic disease value is set to 0.05.

[0028] Furthermore, the weight value of the anxiety value corresponding to insomnia therapy is set to 0.2, the weight value of the insomnia value is set to 0.35, the weight value of the sleep efficiency is set to 0.3, the weight value of the daily screen time is set to 0.1, and the weight value of the somatic disease value is set to 0.05.

[0029] Furthermore, the weight value of the insomnia value corresponding to exercise therapy is set to 0.1, the weight value of the daily steps is set to 0.3, the weight value of the daily sitting and lying time is set to 0.25, the weight value of the somatic disease value is set to 0.2, and the weight value of the body mass index is set to 0.15.

[0030] Furthermore, the weight value of the attentional bias value corresponding to cognitive training therapy is set to 0.25, the weight value of the memory function value is set to 0.2, the weight value of the processing speed value is set to 0.15, the weight value of the executive function value is set to 0.3, and the weight value of the age is set to 0.1.

[0031] Furthermore, the method for normalizing the age of the patient is as follows:

[0032] When the age is less than 18 years old, the normalized value of the patient's age is 0.2;

[0033] When the age is greater than or equal to 18 years old and less than or equal to 30 years old, the normalized value of the patient's age is 0.5;

[0034] When the age is greater than or equal to 31 years old and less than or equal to 60 years old, the normalized value of the patient's age is 0.8;

[0035] When the age is greater than 60 years old, the normalized value of the patient's age is 1.

[0036] Furthermore, in step S2, the anxiety value is normalized specifically by the following formula:

[0037] ;

[0038] In the above formula, represents the normalized value of the anxiety value, represents the anxiety value.

[0039] Furthermore, in step S2, the mindfulness level value, attention bias value, memory function value, processing speed value, executive function value, insomnia value, interpersonal problem value, adjustment disorder value, daily step count, daily screen usage time, daily sitting and lying time, disease recurrence times, body mass index, and sleep efficiency are normalized by the following formula:

[0040] ;

[0041] In the above formula, represents the normalized value of the i-th multidimensional information above, represents the maximum value corresponding to the i-th multidimensional information above, represents the minimum value corresponding to the i-th multidimensional information above, represents the value corresponding to the i-th multidimensional information above.

[0042] Furthermore, during the entire treatment period of the patient, a forced rule trigger is set, and the forced rule trigger is: obtain the patient's depression value. When the level corresponding to the patient's depression value is moderate or above, mindfulness-based cognitive therapy is forced to be the daily mandatory task and the first treatment method, and the remaining mandatory tasks and selected tasks are obtained by the methods in S3 or step S4.

[0043] Furthermore, during the entire treatment period of the patient, a safety rule trigger is set, and the safety rule trigger is: the patient obtains the depression value by filling out the PHQ-9 depression test questions. When the score of the 9th item in the patient's PHQ-9 depression test questions is more than 2 points, it is forced to switch to manual intervention.

[0044] A mindfulness treatment plan generation system for patients with depression, including a therapy setting module and a crisis intervention module. The therapy setting module is used to execute the methods in steps S1 - S4 and trigger mandatory rules, and the crisis intervention module is used to trigger safety rules.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] (1) According to the sorting results based on the initial weight values of each treatment method, the present invention formulates the daily mandatory tasks and optional tasks for patients in the initial stage. At the same time, multiple calibration times are set during the treatment of each patient. At each calibration time, the calibrated weight values of each treatment method are recalculated, and the daily mandatory tasks and optional tasks for the patient are reset according to the calibrated weight values, making the treatment plan for each patient more suitable for that patient, providing the best treatment plan for each patient, and effectively improving the treatment effect of the patient.

[0047] (2) The present invention also sets mandatory rule triggering and safety rule triggering, taking into account both the urgency of the patient's symptoms and the safety of the patient, further improving the treatment efficiency of the patient while ensuring the safety of the patient. Description of the Drawings

[0048] Figure 1 is a flowchart of the method of the present invention. Detailed Embodiments

[0049] The technical solutions of the present invention will be clearly described below in conjunction with the description of the drawings. Obviously, the described embodiments are not all the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] As Figure 1 shown, the present invention provides a mindfulness treatment plan generation method for patients with depression, including the following steps:

[0051] S1. Obtain the multi-dimensional information of the patient. The multi-dimensional information includes depression value, anxiety value, mindfulness level value, attentional bias value, memory function value, processing speed value, executive function value, rumination value, insomnia value, interpersonal problem value, adjustment disorder value, daily steps, daily screen usage time, daily sitting and lying time, age, physical disease value, disease recurrence times, body mass index, and daily sleep efficiency.

[0052] Specifically, the depression value is obtained from the PHQ-9 depression test filled out by the patient, the anxiety value is obtained from the Hamilton Anxiety Scale filled out by the patient, the mindfulness level is obtained from the Five-Factor Mindfulness Questionnaire filled out by the patient, the attentional bias value is obtained by the dot-probe task method for the patient, the memory function value is obtained by the spatial recognition memory method for the patient, the processing speed value is obtained by the Symbol Digit Modalities Test for the patient, the executive function value is obtained by the Stroop task method for the patient, the rumination value is obtained from the Rumination Scale filled out by the patient, the insomnia value is obtained from the Insomnia Severity Index (ISI) filled out by the patient, the interpersonal problem value is obtained from the Inventory of Interpersonal Problems filled out by the patient, the adjustment disorder value is obtained from the Adjustment Disorder Scale filled out by the patient, the daily step count is obtained from the smart wearable device worn by the patient, the daily screen time is obtained from the smart wearable device worn by the patient, the daily sitting and lying time is obtained from the smart wearable device worn by the patient, the age, physical diseases and disease recurrence times of the patient are obtained from the questionnaire filled out by the patient, and the body mass index is calculated by the existing calculation method; the physical diseases include cardiovascular diseases, diabetes, obesity and metabolic diseases, chronic pain diseases, dementia, Parkinson's disease, tumors, respiratory diseases, digestive diseases and chronic kidney diseases, and the physical disease value is obtained according to all the physical diseases the patient has.

[0053] The daily sleep efficiency is obtained by dividing the actual daily sleep time by the daily bedridden duration.

[0054] S2. Normalize the multi-dimensional information of the patient obtained in step S1. The specific method is as follows:

[0055] (1) The normalization methods for the depression value, mindfulness level value, attentional bias value, memory function value, processing speed value, executive function value, rumination value, insomnia value, interpersonal problem value, adjustment disorder value, daily step count, daily screen time, daily sitting and lying time, disease recurrence times, body mass index, and sleep efficiency are as follows:

[0056] ;

[0057] In the above formula, represents the normalized value of the i-th multi-dimensional information above, represents the maximum value corresponding to the i-th multi-dimensional information above, represents the minimum value corresponding to the i-th multi-dimensional information above, represents the value corresponding to the i-th multi-dimensional information above.

[0058] (2) The normalization method for age is as follows:

[0059] When the age is less than 18 years old, the normalized value of the patient's age is 0.2.

[0060] When the age is greater than or equal to 18 years old and less than or equal to 30 years old, the normalized value of the patient's age is 0.5.

[0061] When the age is greater than or equal to 31 years old and less than or equal to 60 years old, the normalized value of the patient's age is 0.8.

[0062] When the age is greater than 60 years old, the normalized value of the patient's age is 1.

[0063] (3)The method for normalizing the somatic disease value is as follows:

[0064] The somatic disease value of each patient is calculated by the following formula:

[0065] ;

[0066] ;

[0067] In the above formula, represents the somatic disease value of the patient, represents the comorbidity rate of the j-th somatic disease and depression, represents the correlation degree of the pathogenesis of the j-th somatic disease and depression, represents the clinical outcome of the j-th somatic disease, J represents the total number of somatic diseases the patient has, and j takes values from 1 to J, represents the actual comorbidity rate of the j-th somatic disease and depression, represents the maximum comorbidity rate of somatic diseases and depression, takes 0.4.

[0068] The correlation degree of the pathogenesis of somatic diseases and depression is related to the correlation degree index. The correlation degree of the pathogenesis of each somatic disease and depression is the total number of items of the correlation degree index the somatic disease has multiplied by 0.25; the correlation degree index includes neuroinflammation, neuroendocrine abnormality (HPA axis), neurotransmitter disorder, and brain structure and function abnormality.

[0069] The clinical outcome of somatic diseases is related to the clinical outcome index. The clinical outcome corresponding to each somatic disease is the total number of items of the clinical outcome index the somatic disease has multiplied by 0.25; the clinical outcome index includes having a risk of death, slow functional recovery, high recurrence frequency, and decreased quality of life. For the four indicators of risk of death, slow functional recovery, high recurrence frequency, and decreased quality of life, they are judged according to medical standards.

[0070] The specific values of the comorbidity rate of each somatic disease and depression, the actual comorbidity rate of each somatic disease and depression, the correlation degree of the pathogenesis, and the clinical outcome are obtained from Table 1:

[0071] Table 1

[0072]

[0073] The normalized value of the somatic disease value is calculated according to the following formula:

[0074] ;

[0075] In the above formula, represents the normalized value of the somatic disease value, represents the comorbidity rate of the i-th somatic disease and depression, represents the correlation degree of the pathogenesis of the i-th somatic disease and depression, represents the clinical outcome of the i-th somatic disease. I represents the total number of all somatic diseases, i ranges from 1 to I, and I is equal to 10.

[0076] (4) Normalize the anxiety value through the following formula:

[0077] ;

[0078] In the above formula, represents the normalized value of the anxiety value, represents the anxiety value.

[0079] S3. Set multiple treatment methods. Each treatment method corresponds to the multi-dimensional information of multiple patients. Calculate the initial weight value of each treatment method according to the multi-dimensional information corresponding to each treatment method. Sort the obtained initial weight values from largest to smallest. Take the top three treatment methods as the mandatory tasks for the patient every day at the initial stage, and take the fourth and fifth treatment methods as the optional tasks for the patient every day at the initial stage. The patient must perform the mandatory tasks every day, and for the optional tasks, one of them can be selected, so as to obtain the treatment plan corresponding to the initial stage of the patient.

[0080] The treatment methods include mindfulness-based cognitive therapy, cognitive behavioral therapy, interpersonal psychotherapy, insomnia therapy, exercise therapy, and cognitive training therapy; the multi-dimensional information corresponding to mindfulness-based cognitive therapy includes anxiety value, mindfulness level value, attentional bias value, somatic disease value, and disease recurrence times; the multi-dimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, somatic disease value, and disease recurrence times; the multi-dimensional information corresponding to interpersonal psychotherapy includes anxiety value, interpersonal problem value, adjustment disorder value, age, and somatic disease value; the multi-dimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen usage time, and somatic disease value; the multi-dimensional information corresponding to exercise therapy includes insomnia value, daily steps, daily sitting and lying time, somatic disease value, and body mass index; the multi-dimensional information corresponding to cognitive training therapy includes attentional bias value, memory function value, processing speed value, executive function value, and age.

[0081] The initial weight value of each treatment method is calculated by the following formula:

[0082] ;

[0083] In the above formula, represents the initial weight value of the j-th treatment method, where j ranges from 1 to 6, represents the weight value of the h-th multi-dimensional information corresponding to the j-th treatment method, represents the normalization value of the h-th multi-dimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

[0084] The weight value of the anxiety value corresponding to mindfulness-based cognitive therapy is set to 0.2, the weight value of the mindfulness level is set to 0.3, the weight value of the attentional bias is set to 0.15, the weight value of the physical disease is set to 0.1, the weight value of the disease recurrence times is set to 0.25, the weight value of the anxiety value corresponding to cognitive behavioral therapy is set to 0.25, the weight value of the executive function is set to 0.3, the weight value of the insomnia value is set to 0.2, the weight value of the physical disease is set to 0.1, the weight value of the disease recurrence times is set to 0.15, the weight value of the anxiety value corresponding to interpersonal psychotherapy is set to 0.2, the weight value of the interpersonal problem is set to 0.35, the weight value of the adjustment disorder is set to 0.25, the weight value of the age is set to 0.15, the weight value of the physical disease is set to 0.05, the weight value of the anxiety value corresponding to insomnia therapy is set to 0.2, the weight value of the insomnia value is set to 0.35, the weight value of the sleep efficiency is set to 0.3, the weight value of the daily screen time is set to 0.1, the weight value of the physical disease is set to 0.05, the weight value of the insomnia value corresponding to exercise therapy is set to 0.1, the weight value of the daily steps is set to 0.3, the weight value of the daily sitting and lying time is set to 0.25, the weight value of the physical disease is set to 0.2, the weight value of the body mass index is set to 0.15, the weight value of the attentional bias corresponding to cognitive training therapy is set to 0.25, the weight value of the memory function is set to 0.2, the weight value of the processing speed is set to 0.15, the weight value of the executive function is set to 0.3, the weight value of the age is set to 0.1.

[0085] S4. During the treatment period of the patient, set multiple correction times, and recalculate the correction weight values of each treatment method at each correction time. Sort all the correction weight values from largest to smallest, and reset the treatment plan of the patient according to the new ranking.

[0086] The period from the start of the patient's treatment to the first correction time is the initial stage.

[0087] The correction weight values of each treatment method at the a-th correction time are calculated by the following formula:

[0088] ;

[0089] In the above formula, represents the calibration weight value of the j-th treatment method at the a-th calibration time, where a ranges from 1 to A, and A is the total number of calibration times. represents the basic weight of the comprehensive index, takes 0.6; represents the initial weight value or calibration weight value calculated in the previous time at the a-th calibration time. When a = 1, is When a > 1, is the value calculated by re-performing steps S1 - S3 on the patient; represents the time decay factor weight, The initial value of is 0.3 and decreases exponentially with the increase of treatment time; both represent parameters for controlling the decay rate, takes 0.1, represents 14 days, represents the current time point, represents the patient characteristic weight, takes 0.1, represents the patient characteristic weighted value.

[0090] The patient characteristic weighted value is obtained according to the following rules:

[0091] When the patient's age is greater than 60 years old, the patient characteristic weighted value for calculating interpersonal psychotherapy needs to be increased by 0.1.

[0092] When the patient is in an occupation such as the Internet, the patient characteristic weighted value for calculating exercise therapy needs to be increased by 0.1.

[0093] When the grade corresponding to the patient's body mass index is overweight or obese, the patient characteristic weighted value for calculating exercise therapy needs to be increased by 0.1.

[0094] When the patient has a metabolic disease, the patient characteristic weighted value for calculating exercise therapy needs to be increased by 0.05.

[0095] When the patient has a chronic pain disease, the patient characteristic weighted value for calculating mindfulness-based cognitive therapy needs to be increased by 0.05.

[0096] When the patient has a cardiovascular disease, the patient characteristic weighted value for calculating exercise therapy and cognitive behavioral therapy needs to be increased by 0.05.

[0097] When the patient has cancer, the patient characteristic weighted value for calculating interpersonal psychotherapy and mindfulness-based cognitive therapy needs to be increased by 0.05.

[0098] When a patient has a neurological disease, the weighted value of the patient's characteristics for calculating exercise therapy and cognitive behavioral therapy needs to be increased by 0.05.

[0099] When a patient has a respiratory disease, the weighted value of the patient's characteristics for calculating mindfulness-based cognitive therapy needs to be increased by 0.05.

[0100] During the entire treatment period of the patient, due to the need to consider the patient's symptom urgency and safety, mandatory rule triggers and safety rule triggers are set.

[0101] Mandatory rule trigger: When the level corresponding to the patient's depression value is moderate or above, mindfulness-based cognitive therapy is compulsorily used as the first treatment method for the patient every day, and for other treatment methods, the other two mandatory tasks and optional tasks are set by sorting.

[0102] Safety rule trigger: When the score of the 9th item in the PHQ-9 depression test for this patient is more than 2 points, it is compulsorily transferred to manual intervention.

[0103] The present invention also provides a mindfulness treatment plan generation system for depressed patients, including a therapy setting module and a crisis intervention module. The therapy setting module is used to perform the methods in steps S1 - S4 and execute the mandatory rule trigger, and the crisis intervention module is used to execute the safety rule trigger.

[0104] Through the sorting results based on the initial weight values of each treatment method, the present invention formulates the mandatory tasks and optional tasks for each day in the initial stage of the patient, and at the same time sets multiple calibration times during the treatment period of each patient. At each calibration time, the calibrated weight values of each treatment method are recalculated, and the mandatory tasks and optional tasks for the patient's daily are reset according to the calibrated weight values, making the treatment plan for each patient more suitable for the patient, providing the best treatment plan for each patient, and effectively improving the treatment effect of the patient. And the present invention also sets a mandatory rule trigger and a safety rule trigger, taking into account both the urgency of the patient's symptoms and the safety of the patient, further improving the treatment efficiency of the patient while ensuring the safety of the patient.

[0105] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than a limitation on the protection scope of the present invention. Simple modifications or equivalent replacements made by those of ordinary skill in the art to the technical solution of the present invention do not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A mindfulness treatment plan generation system for patients with depression, characterized in that, It includes a therapy setting module and a crisis intervention module. The crisis intervention module is used to execute safety rule triggering, and the therapy setting module is used to execute mandatory rule triggering and the following: Obtain the multi-dimensional information of the patient; Normalize the obtained multi-dimensional information of the patient; Set multiple treatment methods. Each treatment method corresponds to the multi-dimensional information of multiple patients. Calculate the initial weight value of each treatment method according to the corresponding multi-dimensional information of each treatment method. Sort the initial weight values from largest to smallest. Take the top three treatment methods as the daily mandatory tasks of the patient in the initial stage, and take the fourth and fifth treatment methods as the optional tasks of the patient in the initial stage. The patient needs to perform the mandatory tasks every day and choose one of the optional tasks to obtain the treatment plan for the initial stage of the patient; During the treatment of the patient, set multiple calibration times. Recalculate the calibration weight value of each treatment method at each calibration time, perform sorting, and reset the treatment plan of the patient according to the new sorting; At each calibration time, the calibration weight value of each treatment method is calculated by the following formula: ； In the above formula, represents the calibration weight value of the j-th treatment method at the a-th calibration time, represents that the comprehensive index base weight a ranges from 1 to A, where A is the total number of calibration times, represents the initial weight value or calibration weight value calculated in the previous time at the a-th calibration time, represents the time decay factor weight, 、 both represent the parameters for controlling the decay speed, represents the current time point, represents the patient characteristic weight, represents the patient characteristic weighted value.

2. The mindfulness treatment plan generation system for depressive patients according to claim 1, wherein The treatment methods include mindfulness-based cognitive therapy, cognitive behavioral therapy, interpersonal psychotherapy, insomnia therapy, exercise therapy, and cognitive training therapy.

3. The mindfulness treatment plan generation system for depressive patients according to claim 2, wherein When the patient's age is greater than 60 years old, the patient characteristic weighting value when calculating interpersonal psychotherapy increases by 0.1; when the patient is in an Internet occupation, the patient characteristic weighting value when calculating exercise therapy increases by 0.1; when the patient's body mass index corresponds to the overweight or obese level, the patient characteristic weighting value when calculating exercise therapy increases by 0.

1.

4. The mindfulness treatment plan generation system for depressive patients according to claim 2, wherein, When the patient has a metabolic disease, the patient characteristic weighting value when calculating exercise therapy increases by 0.

05. When the patient has a chronic pain disease, the patient characteristic weighting value when calculating mindfulness-based cognitive therapy increases by 0.

05. When the patient has a cardiovascular disease, the patient characteristic weighting values when calculating exercise therapy and cognitive behavioral therapy increase by 0.

05. When the patient has cancer, the patient characteristic weighting values when calculating interpersonal psychotherapy and mindfulness-based cognitive therapy increase by 0.

05. When the patient has a neurological disease, the patient characteristic weighting values when calculating exercise therapy and cognitive behavioral therapy increase by 0.

05. When the patient has a respiratory disease, the patient characteristic weighting value when calculating mindfulness-based cognitive therapy increases by 0.

05.

5. The mindfulness treatment plan generation system for depression patients according to claim 1, characterized in that, The initial value is 0.3 and it decreases exponentially with the increase of treatment time.

6. The mindfulness treatment plan generation system for depressive patients according to claim 1, wherein When a is 1, it is the initial weight value. When a is greater than 1, it is the initial weight value calculated after repeating the previous three steps for the patient.

7. A mindfulness treatment plan generation system for depression patients according to claim 2, characterized in that The initial weight value of each treatment method is calculated by the following formula: ； In the above formula, represents the initial weight value of the j-th treatment method, where j ranges from 1 to 6, represents the weight value of the h-th multi-dimensional information corresponding to the j-th treatment method, represents the normalization value of the h-th multi-dimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

8. A mindfulness treatment plan generation system for depression patients according to claim 7, characterized in that, The multi-dimensional information corresponding to mindfulness-based cognitive therapy includes anxiety value, mindfulness level value, attentional bias value, somatic disease value, and disease recurrence times. The multi-dimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, somatic disease value, and disease recurrence times. The multi-dimensional information corresponding to interpersonal psychotherapy includes anxiety value, interpersonal problem value, adjustment disorder value, age, and somatic disease value. The multi-dimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen time, and somatic disease value. The multi-dimensional information corresponding to exercise therapy includes insomnia value, daily steps, daily sitting and lying time, somatic disease value, and body mass index. The multi-dimensional information corresponding to cognitive training therapy includes attentional bias value, memory function value, processing speed value, executive function value, and age.

9. The mindfulness treatment plan generation system for depression patients according to claim 8, wherein, The weight value of the anxiety value corresponding to mindfulness-based cognitive therapy is set to 0.2, the weight value of the mindfulness level value is set to 0.3, the weight value of the attentional bias value is set to 0.15, the weight value of the somatic disease value is set to 0.1, and the weight value of the disease recurrence times is set to 0.

25.

10. A system for generating a mindfulness treatment plan for depression patients according to claim 8, characterized in that, The weight value of the anxiety value corresponding to cognitive behavioral therapy is set to 0.25, the weight value of the executive function value is set to 0.3, the weight value of the insomnia value is set to 0.2, the weight value of the somatic disease value is set to 0.1, and the weight value of the disease recurrence times is set to 0.

15.

11. A system for generating a mindfulness treatment plan for patients with depression according to claim 8, characterized in that, The weight value of the anxiety value corresponding to interpersonal psychotherapy is set to 0.2, the weight value of the interpersonal problem value is set to 0.35, the weight value of the adjustment disorder value is set to 0.25, the weight value of the age is set to 0.15, and the weight value of the somatic disease value is set to 0.

05.

12. A system for generating a mindfulness treatment plan for patients with depression according to claim 8, characterized in that, The weight value of the anxiety value corresponding to insomnia therapy is set to 0.2, the weight value of the insomnia value is set to 0.35, the weight value of the sleep efficiency is set to 0.3, the weight value of the daily screen time is set to 0.1, and the weight value of the somatic disease value is set to 0.

05.

13. A system for generating a mindfulness treatment plan for depression patients according to claim 8, characterized in that, The weight value of the insomnia value corresponding to exercise therapy is set to 0.1, the weight value of the daily steps is set to 0.3, the weight value of the daily sitting and lying time is set to 0.25, the weight value of the somatic disease value is set to 0.2, and the weight value of the body mass index is set to 0.

15.

14. A mindfulness treatment plan generation system for depression patients according to claim 8, characterized in that, The weight value of the attentional bias value corresponding to cognitive training therapy is set to 0.25, the weight value of the memory function value is set to 0.2, the weight value of the processing speed value is set to 0.15, the weight value of the executive function value is set to 0.3, and the weight value of the age is set to 0.

1.

15. A system for generating a mindfulness treatment plan for patients with depression according to claim 8, characterized in that, The method for normalizing the age of the patient is as follows: When the age is less than 18 years old, the normalized value of the patient's age is 0.2; When the age is greater than or equal to 18 years old and less than or equal to 30 years old, the normalized value of the patient's age is 0.5; When the age is greater than or equal to 31 years old and less than or equal to 60 years old, the normalized value of the patient's age is 0.8; When the age is greater than 60 years old, the normalized value of the patient's age is 1.

16. A mindfulness treatment plan generation system for patients with depression according to claim 8, characterized in that, Specifically, the following formula is used to normalize the anxiety value: ； In the above formula, represents the normalized value of the anxiety level, represents the anxiety level.

17. A system for generating a mindfulness treatment plan for patients with depression according to claim 8, characterized in that, For the mindfulness level value, attentional bias value, memory function value, processing speed value, executive function value, insomnia value, interpersonal problem value, adjustment disorder value, daily steps, daily screen time, daily sitting and lying time, disease recurrence times, body mass index, and sleep efficiency, the following formula is used for normalization: ； In the above formula, represents the normalized value of the above-mentioned \(i\)-th multi-dimensional information, represents the maximum value corresponding to the above-mentioned \(i\)-th multi-dimensional information, represents the minimum value corresponding to the above-mentioned \(i\)-th multi-dimensional information, represents the value corresponding to the above-mentioned \(i\)-th multi-dimensional information.

18. A system for generating a mindfulness treatment plan for patients with depression according to any one of claims 2-17, characterized in that, During the entire treatment period of the patient, a mandatory rule trigger is set. The mandatory rule trigger is as follows: Obtain the patient's depression value. When the level corresponding to the patient's depression value is moderate or above, mindfulness-based cognitive therapy is compulsorily set as the daily mandatory task and the first treatment method, and the remaining mandatory tasks and optional tasks are obtained by sorting the weight values.

19. A system for generating a mindfulness treatment plan for patients with depression according to claim 18, characterized in that, During the entire treatment period of the patient, a safety rule trigger is set. The safety rule trigger is as follows: The patient obtains a depression value by filling out the PHQ-9 depression test questions. When the score of the 9th item in the patient's PHQ-9 depression test questions is above 2 points, it is transferred to manual intervention.

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