Generation method and system for mentality therapy scheme of depression patient

Abstract

The invention relates to the technical field of medical rehabilitation, in particular to a method and a system for generating a mentality therapy scheme for a depression patient. Comprising the following steps: S1, acquiring multi-dimensional information of a patient; s2, performing normalization processing on the multi-dimensional information of the patient acquired in the step S1; s3, a plurality of treatment methods are set, each treatment method corresponds to multi-dimensional information of a plurality of patients, the initial weight value of the treatment method is calculated according to the multi-dimensional information corresponding to each treatment method, and daily necessary tasks and selected tasks of the patients are set according to the initial weight values, so that a treatment scheme of the initial stage of the patients is obtained; s4, during the treatment period of the patient, setting a plurality of correction times, recalculating the correction weight value of each treatment method at each correction time, sorting, and resetting the treatment scheme of the patient according to the new sorting; the best treatment method is provided for each patient, and the treatment effect is improved.

Description

Technical Field

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

[0002] Depression is a common psychological disorder, and many people around the world are troubled by it. 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 also 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, it adaptively adjusts the music type, meditation time, and exercise intensity, so as to achieve the purpose of self-assessment and rehabilitation treatment for depression patients; it uses virtual reality technology to provide a comfortable treatment environment for patients, uses sensing and capture technology to collect electroencephalogram and motion information, and uses big data analysis methods 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, a motion 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 simple and lightweight equipment, which is conducive to the rehabilitation treatment of patients at home and in community hospitals, and is also conducive to 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 depressive patients, which can provide the best treatment method for each patient compared with the prior art and improve the treatment effect. 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 depressive patients.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows: A method for generating a mindfulness treatment plan for patients with depression, comprising the following steps: S1. Obtain the multi-dimensional information of the patient; S2. Normalize the multi-dimensional information of the patient obtained in step S1; 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 of each treatment method, sort the initial weight values from largest to smallest, 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; 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.

[0008] Further, in step S4, at each correction time, the correction weight value of each treatment method is calculated by the following formula: ; In the above formula, represents the correction weight value of the jth treatment method at the a-th 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 correction weight value calculated last time at the a-th 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.

[0009] Furthermore, the treatment methods include mindfulness-based cognitive therapy, cognitive behavioral therapy, interpersonal psychotherapy, insomnia therapy, exercise therapy, and cognitive training therapy.

[0010] Furthermore, when the patient's age is greater than 60 years old, the patient characteristic weighted value when calculating interpersonal psychotherapy increases by 0.1; when the patient is in an Internet occupation, the patient characteristic weighted value when calculating exercise therapy increases by 0.1; when the grade corresponding to the patient's body mass index is overweight or obese, the patient characteristic weighted value when calculating exercise therapy increases by 0.1.

[0011] Furthermore, when the patient has a metabolic disease, the weighted value of the patient characteristics during exercise therapy is increased by 0.05. When the patient has a chronic pain disease, the weighted value of the patient characteristics during mindfulness-based cognitive therapy is increased by 0.05. When the patient has a cardiovascular disease, the weighted value of the patient characteristics during exercise therapy and cognitive behavioral therapy is increased by 0.05. When the patient has cancer, the weighted value of the patient characteristics during interpersonal psychotherapy and mindfulness-based cognitive therapy is increased by 0.05. When the patient has a neurological disease, the weighted value of the patient characteristics during exercise therapy and cognitive behavioral therapy is increased by 0.05. When the patient has a respiratory disease, the weighted value of the patient characteristics during mindfulness-based cognitive therapy is increased by 0.05.

[0012] Furthermore, The initial value of [[]] is 0.3 and it decreases exponentially with the increase of treatment time.

[0013] Furthermore, when a = 1, is the initial weight value. When a > 1, is the initial weight value calculated after re-performing steps S1 - S3 on the patient.

[0014] Furthermore, in step S3, 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 normalized value of the h-th multi-dimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

[0015] Furthermore, the multi-dimensional information corresponding to mindfulness-based cognitive therapy includes anxiety value, mindfulness level value, attentional bias value, physical disease value, and disease recurrence times. The multi-dimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, physical 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 physical disease value. The multi-dimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen time, and physical disease value. The multi-dimensional information corresponding to exercise therapy includes insomnia value, daily steps, daily sitting and lying time, physical 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.

[0016] 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 physical disease value is set to 0.1, and the weight value of the number of disease relapses is set to 0.25.

[0017] 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 physical disease value is set to 0.1, and the weight value of the number of disease relapses is set to 0.15.

[0018] 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 physical disease value is set to 0.05.

[0019] 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 physical disease value is set to 0.05.

[0020] Furthermore, the weight value of the insomnia value corresponding to exercise therapy is set to 0.1, the weight value of the daily step count 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 value is set to 0.2, and the weight value of the body mass index is set to 0.15.

[0021] 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.

[0022] Furthermore, 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.

[0023] Furthermore, in step S2, the anxiety value is specifically normalized by the following formula: ; In the above formula, Represents the normalized value of the anxiety level, which represents the anxiety level.

[0024] Furthermore, in step S2, for 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, the following formula is used for normalization: ; In the above formula, represents the normalized value of the i-th multi-dimensional information mentioned above, represents the maximum value corresponding to the i-th multi-dimensional information mentioned above, represents the minimum value corresponding to the i-th multi-dimensional information mentioned above, represents the value corresponding to the i-th multi-dimensional information mentioned above.

[0025] Furthermore, during the entire treatment period of the patient, a forced rule trigger is set, and the forced rule trigger is: obtain the depression value of the patient. When the level corresponding to the depression value of the patient 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 optional tasks are obtained through the methods in S3 or step S4.

[0026] 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 2 or above, it is forced to switch to manual intervention.

[0027] 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 the forced rule trigger, and the crisis intervention module is used to execute the safety rule trigger.

[0028] Compared with the prior art, the beneficial effects of the present invention are: (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 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 daily mandatory tasks and optional tasks of 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.

[0029] (2) The present invention also sets up forced rule triggering and safety rule triggering, taking into account both the urgency of the patient's symptoms and the patient's safety, further improving the treatment efficiency of the patient while ensuring the patient's safety. Description of the Drawings

[0030] Figure 1 It is a flowchart of the method of the present invention. Specific Embodiments

[0031] The technical solution of the present invention will be clearly described below in conjunction with the description of the drawings. Obviously, the described embodiments are not all 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.

[0032] As Figure 1 shown, the present invention provides a method for generating a mindfulness treatment plan for patients with depression, including the following steps: 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.

[0033] Specifically, the depression value is obtained from the PHQ-9 depression test questions filled in by the patient, the anxiety value is obtained from the Hamilton Anxiety Scale filled in by the patient, the mindfulness level is obtained from the Five-Factor Mindfulness Questionnaire filled in 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 method 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 in by the patient, the insomnia value is obtained from the Insomnia Severity Index (ISI) filled in by the patient, the interpersonal problem value is obtained from the Interpersonal Problems Questionnaire filled in by the patient, the adjustment disorder value is obtained from the Adjustment Disorder Questionnaire filled in by the patient, the daily steps are obtained from the smart wearable device worn by the patient, the daily screen usage 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, the physical diseases the patient has, and the disease recurrence times are obtained from the questionnaire filled in 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.

[0034] The daily sleep efficiency is obtained by dividing the actual daily sleep time by the daily time in bed.

[0035] S2. Normalize the multi-dimensional information of the patient obtained in step S1. The specific method is as follows: (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 steps, daily screen time, daily sitting and lying time, disease recurrence times, body mass index, and sleep efficiency are as follows: ; 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.

[0036] (2) The normalization method for age is as follows: When the age is less than 18 years old, the normalized value of the patient's age is 0.2.

[0037] 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.

[0038] 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.

[0039] When the age is greater than 60 years old, the normalized value of the patient's age is 1.

[0040] (3) The normalization method for the somatic disease value is as follows: The somatic disease value of each patient is calculated by the following formula: ; ; 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 association 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, 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, Take 0.4.

[0041] The correlation degree between somatic diseases and the pathogenesis of depression is related to the correlation degree index. The correlation degree between each somatic disease and the pathogenesis of depression is the total number of correlation degree indexes possessed by the somatic disease multiplied by 0.25. The correlation degree indexes include neuroinflammation, neuroendocrine abnormalities (HPA axis), neurotransmitter disorders, and brain structure and function abnormalities.

[0042] The clinical outcomes of somatic diseases are related to the clinical outcome indexes. The clinical outcome corresponding to each somatic disease is the total number of clinical outcome indexes possessed by the somatic disease multiplied by 0.25. The clinical outcome indexes include the risk of death, slow functional recovery, high recurrence frequency, and decreased quality of life. For the four indexes of the risk of death, slow functional recovery, high recurrence frequency, and decreased quality of life, judgments are made according to medical standards.

[0043] 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 with the pathogenesis of depression, and the clinical outcomes are obtained according to Table 1: Table 1

[0044] The normalized value of the somatic disease value is calculated according to the following formula: ; 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 between the i-th somatic disease and the pathogenesis of 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.

[0045] (4) The anxiety value is normalized by the following formula: ; In the above formula, represents the normalized value of the anxiety value, represents the anxiety value.

[0046] 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 daily mandatory tasks for the patient in the initial stage, and take the fourth and fifth treatment methods as the optional tasks for the patient in 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.

[0047] 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, physical disease value, and disease recurrence times, the multi-dimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, physical 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 physical disease value, the multi-dimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen usage time, and physical disease value, the multi-dimensional information corresponding to exercise therapy includes insomnia value, daily steps, daily sitting and lying time, physical disease value, and body mass index, and the multi-dimensional information corresponding to cognitive training therapy includes attentional bias value, memory function value, processing speed value, executive function value, and age.

[0048] 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 normalized value of the h-th multi-dimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

[0049] 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 physical disease value is set to 0.1, the weight value of the number of disease relapses 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 value is set to 0.3, the weight value of the insomnia value is set to 0.2, the weight value of the physical disease value is set to 0.1, the weight value of the number of disease relapses 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 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, the weight value of the physical disease value 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 value 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 step count 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 value 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 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, the weight value of the age is set to 0.1.

[0050] S4. During the treatment period of the patient, set multiple calibration times. At each calibration time, recalculate the calibration weight values of each treatment method, sort all the calibration weight values from largest to smallest, and reset the treatment plan of the patient according to the new sorting.

[0051] The period from the start of the patient's treatment to the first calibration time is the initial stage.

[0052] The calibration weight value of each treatment method at the a-th calibration time 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, a takes values 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 weight of the time decay factor, The initial value is 0.3 and it decreases exponentially with the increase of treatment time; and both represent parameters for controlling the attenuation 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.

[0053] The patient characteristic weighted value is obtained according to the following rules: 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.

[0054] When the patient is in a profession such as the Internet, the patient characteristic weighted value for calculating exercise therapy needs to be increased by 0.1.

[0055] 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.

[0056] When the patient has a metabolic disease, the patient characteristic weighted value for calculating exercise therapy needs to be increased by 0.05.

[0057] 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.

[0058] 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.

[0059] 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.

[0060] When the patient has a neurological disease, the patient characteristic weighted value for calculating exercise therapy and cognitive behavioral therapy needs to be increased by 0.05.

[0061] When the patient has a respiratory disease, the patient characteristic weighted value for calculating mindfulness-based cognitive therapy needs to be increased by 0.05.

[0062] During the entire treatment period of the patient, due to the need to consider the patient's symptom urgency and safety, a mandatory rule trigger and a safety rule trigger are set.

[0063] Mandatory rule trigger: When the grade corresponding to the patient's depression value is moderate or above, the 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.

[0064] Safety rule trigger: When the score of the 9th item in the PHQ-9 depression test for this patient is above 2 points, it is forced to switch to manual intervention.

[0065] The present invention also provides a mindfulness treatment plan generation system for depression 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 forced rule trigger, and the crisis intervention module is used to execute the safety rule trigger.

[0066] Based on the sorting results obtained from 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 period 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. In addition, the present invention also sets a forced 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.

[0067] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than limiting the protection scope of the present invention. Any simple modification or equivalent replacement of the technical solution of the present invention by those of ordinary skill in the art shall not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A method for generating a mindfulness treatment plan for a depressed patient, characterized in that: The following steps are involved: S1. Obtain multidimensional information of patients; S2, normalizing the multidimensional information of the patient obtained in step S1; 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 the treatment method, sort the initial weight values ​​from large to small, and use the top three treatment methods as the patient's daily mandatory tasks in the initial stage, and use the fourth and fifth treatment methods as the patient's daily optional tasks in the initial stage. The patient needs to perform the mandatory tasks and select one of the optional tasks every day, so as to obtain the patient's initial treatment plan; S4. During the treatment of the patient, multiple correction times are set, and the correction weight value of each treatment method is recalculated and sorted at each correction time. According to the new sorting, the patient's treatment plan is reset.

2. The method for generating a mindfulness treatment plan for a depressed patient according to claim 1, characterized in that: In step S4, at each correction time, the correction weight value of each treatment method is calculated by the following formula: ； In the above formula, represents the correction weight value of the jth treatment method at the ath correction time, The basic weight a of the comprehensive index ranges from 1 to A, where A is the total number of correction times. Indicates the initial weight value or the corrected weight value calculated at the last correction time a. represents the time decay factor weight, , All represent parameters that control the decay speed. Indicates the current time point. represents the patient characteristic weight, represents the weighted value of patient characteristics.

3. The method for generating a mindfulness treatment plan for a depressed patient according to claim 2, characterized in that: Treatments include mindfulness-based cognitive therapy, cognitive behavioral therapy, interpersonal psychotherapy, insomnia therapy, exercise therapy, and cognitive training therapy.

4. The method for generating a mindfulness treatment plan for a depressed patient according to claim 3, characterized in that: When the patient is older than 60 years old, the weighted value of the patient's characteristics when calculating interpersonal psychotherapy increases by 0.1; when the patient is an Internet professional, the weighted value of the patient's characteristics when 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's characteristics when calculating exercise therapy increases by 0.

1.

5. The method for generating a mindfulness treatment plan for a depressed patient according to claim 3, characterized in that: When the patient has metabolic diseases, the weighted value of the patient characteristics when calculating exercise therapy is increased by 0.05; when the patient has chronic pain diseases, the weighted value of the patient characteristics when calculating mindfulness-based cognitive therapy is increased by 0.05; when the patient has cardiovascular diseases, the weighted value of the patient characteristics when calculating exercise therapy and cognitive behavioral therapy is increased by 0.05; when the patient has cancer, the weighted value of the patient characteristics when calculating interpersonal psychotherapy and mindfulness-based cognitive therapy is increased by 0.05; when the patient has neurological diseases, the weighted value of the patient characteristics when calculating exercise therapy and cognitive behavioral therapy is increased by 0.05; when the patient has respiratory diseases, the weighted value of the patient characteristics when calculating mindfulness-based cognitive therapy is increased by 0.

05.

6. The method for generating a mindfulness treatment plan for a depressed patient according to claim 2, characterized in that: The initial value of is 0.3 and decreases exponentially with the increase of treatment time.

7. The method for generating a mindfulness treatment plan for a depressed patient according to claim 2, characterized in that: When a is 1, is the initial weight value. When a is greater than 1, It is the initial weight value calculated after re-performing steps S1 to S3 for the patient.

8. The method for generating a mindfulness treatment plan for a depressed patient according to claim 3, characterized in that: In step S3, 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 jth treatment method, j ranges from 1 to 6, represents the weight value of the h-th multidimensional information corresponding to the j-th treatment method, Represents the normalized value of the h-th multidimensional information corresponding to the j-th treatment method, where h ranges from 1 to 5.

9. The method for generating a mindfulness treatment plan for a depressed patient according to claim 8, characterized in that: The multidimensional information corresponding to mindfulness-based cognitive therapy includes anxiety value, mindfulness level value, attention bias value, physical disease value and number of disease relapses; the multidimensional information corresponding to cognitive behavioral therapy includes anxiety value, executive function value, insomnia value, physical disease value and number of disease relapses; the multidimensional information corresponding to interpersonal psychotherapy includes anxiety value, interpersonal problem value, adjustment disorder value, age and physical disease value; the multidimensional information corresponding to insomnia therapy includes anxiety value, insomnia value, sleep efficiency, daily screen time and physical disease value; the multidimensional information corresponding to exercise therapy includes insomnia value, daily step count, daily sitting and lying time, physical disease value and body mass index; the multidimensional information corresponding to cognitive training therapy includes attention bias value, memory function value, processing speed value, executive function value and age.

10. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: 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 attention bias value is set to 0.15, the weight value of the physical disease value is set to 0.1, and the weight value of the number of disease relapses is set to 0.

25.

11. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: The weight value of anxiety corresponding to cognitive behavioral therapy is set to 0.25, the weight value of executive function value is set to 0.3, the weight value of insomnia value is set to 0.2, the weight value of physical disease value is set to 0.1, and the weight value of disease relapse number is set to 0.

15.

12. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, 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 value is set to 0.15, and the weight value of the physical disease value is set to 0.

05.

13. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: The weight value of the anxiety value corresponding to insomnia treatment 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 physical disease value is set to 0.

05.

14. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: The weight value of insomnia corresponding to exercise therapy is set to 0.1, the weight value of daily steps is set to 0.3, the weight value of daily sitting and lying time is set to 0.25, the weight value of physical disease value is set to 0.2, and the weight value of body mass index is set to 0.

15.

15. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: The weight value of attention bias corresponding to cognitive training therapy was set to 0.25, the weight value of memory function value was set to 0.2, the weight value of processing speed value was set to 0.15, the weight value of executive function value was set to 0.3, and the weight value of age was set to 0.

1.

16. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: In step S2, the method for normalizing the patient's age is: When the age is less than 18 years, the normalized value of the patient's age is 0.2; When the age is greater than or equal to 18 years and less than or equal to 30 years, the normalized value of the patient's age is 0.5; When the age is greater than or equal to 31 years and less than or equal to 60 years, the normalized value of the patient's age is 0.8; When the age is greater than 60 years, the normalized value of the patient's age is 1.

17. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: In step S2, the anxiety value is normalized by the following formula: ； In the above formula, represents the normalized value of anxiety value, Indicates the anxiety value.

18. The method for generating a mindfulness treatment plan for a depressed patient according to claim 9, characterized in that: 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 time, daily sitting and lying time, number of disease relapses, body mass index, and sleep efficiency are normalized by the following formula: ； In the above formula, represents the normalized value of the above i-th multidimensional information, 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 numerical value corresponding to the i-th multidimensional information mentioned above.

19. A method for generating a mindfulness treatment plan for a depressed patient according to any one of claims 3 to 18, characterized in that: During the entire treatment period of the patient, a mandatory rule trigger is set, and the mandatory rule trigger is: obtain the patient's depression value. When the level corresponding to the patient's depression value is moderate or above, mindfulness cognitive therapy is forced to be a daily mandatory task and the first treatment method. The remaining mandatory tasks and seat selection tasks are obtained through the method in S3 or step S4.

20. A method for generating a mindfulness treatment plan for a depressed patient according to any one of claims 3-18, characterized in that: During the entire treatment period of the patient, a safety rule trigger is set. The safety rule trigger is: the patient obtains a depression value by filling out the PHQ-9 depression test questions. When the score of the 9th item in the PHQ-9 depression test questions of the patient is 2 points or more, manual intervention is performed.

21. A mindfulness treatment plan generation system for patients with depression, characterized in that: A method for generating a mindfulness therapy program for depressed patients is used according to any one of claims 1-20, comprising a therapy setting module and a crisis intervention module, wherein the therapy setting module is used to execute the method in steps S1-S4 and mandatory rule triggering, and the crisis intervention module is used to execute safety rule triggering.

Images