Recommended method for mindfulness therapy tasks for multi-dimensional evaluation of training effects

Abstract

The present invention relates to the technical field of insomnia treatment, and in particular to a mindfulness treatment task recommendation method for multi-dimensional evaluation of training effect; the method comprises the following steps: S1, patient evaluation; S2, stratifying patients for insomnia according to the evaluation results of patients; S3, pushing corresponding eight-week initialization training programs to the patients after insomnia stratification, and the patients perform training on the first day of the week according to the corresponding eight-week initialization training programs; S4, recommending tasks within the week; S5, after completing the training of the week and before switching to the training of the next week, determining whether to adjust the difficulty ratio of training items in a training task library; more accurately and comprehensively evaluating the characteristics of patients, recommending more suitable tasks with more matching difficulty to patients, so that the training effect is maximized and the compliance is better.

Description

Technical Field

[0001] The present invention relates to the technical field of insomnia treatment, and in particular to a mindfulness treatment task recommendation method for multi-dimensional evaluation of training effects. Background Art

[0002] The continued development of insomnia will damage the individual's cardiovascular system, endocrine system, immunity, cognitive ability, psychology and other physical and mental health, and seriously reduce the patient's quality of life and sense of happiness. The methods for treating insomnia disorders include drugs and non-drug means. Although drug treatment is quick, it can lead to drug dependence, severe side effects and drug resistance. Therefore, the advantages of non-drug treatments for insomnia are highlighted.

[0003] Among them, there are more and more clinical studies and applications of evidence-based mindfulness therapy to intervene in insomnia. The intervention effect of this non-drug method on chronic insomnia disorders has been continuously confirmed and gradually become a consensus. Mindfulness training can regulate the patient's psychological state from the aspects of attention, cognition, emotion, thinking, etc., reduce negative emotions such as anxiety and depression, and ultimately improve the patient's physical and mental state and sleep quality. At present, the evaluation of the effect of patient mindfulness training is mainly based on the evaluation scale score and sleep efficiency. In fact, factors that affect the patient's training effect also include the patient's task execution during training, training continuity, sleep habits, cognitive level, health status, etc.

[0004] Chinese patent CN116936036A discloses a method and system for generating a mindfulness therapy task training program for insomnia, the method comprising: S1: patient assessment; S2: insomnia stratification; S3: push the initialization training program for patients to train on the first day of the week; S4: based on the training program of the previous day of the week, adjust and generate the training program for the day according to the education level, yesterday's sleep efficiency and age, and complete the training of the week accordingly; S5: before switching to the next week's training, adjust the difficulty ratio of the training items in the training task library according to the average execution degree of the patient's weekly tasks; S6: repeat S3-S5 to complete the training of the next week; and so on, complete the full-cycle task training program for 8 weeks. However, in the above method, the difficulty ratio of the training items is adjusted only by the cognitive level represented by the education level. At the same time, the calculation of the sleep efficiency of the elderly group is the same as that of other groups, but the elderly group has a reduced demand for sleep time, and the task execution, age factors and health status can easily affect the sleep efficiency, which is different from the adult group.

[0005] Therefore, there is an urgent need to provide a mindfulness therapy task recommendation method for multi-dimensional evaluation of training effects. Compared with existing technologies, it can more accurately and comprehensively evaluate the characteristics of patients and recommend more appropriate tasks with a better matching difficulty level to patients, so as to maximize their training effects and improve compliance. Summary of the invention

[0006] The present invention solves the technical problems existing in the prior art and provides a mindfulness therapy task recommendation method for multi-dimensional evaluation of training effects.

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

[0008] The recommended method for mindfulness therapy tasks for multi-dimensional evaluation of training effects includes the following steps:

[0009] S1. Patient assessment, including patient information collection, risk questionnaire survey, and scale assessment;

[0010] S2. According to the evaluation results of the patients in step S1, the patients are stratified into insomnia with anxiety, insomnia with depression, and general insomnia.

[0011] S3. For patients with insomnia with anxiety, insomnia with depression, and general insomnia, the corresponding eight-week initialization training program is pushed out respectively, and the patients perform training on the first day of the week according to the corresponding eight-week initialization training program;

[0012] S4. Weekly task recommendations:

[0013] S41, starting from the second day of the week, setting the patient's training program of the previous day of the week as the initial training program of the day;

[0014] S42. Adjust the difficulty ratio of the training items in the training task library according to the patient's cognitive level, and map the patient's cognitive level through the level of mindfulness;

[0015] S43, setting a first limit value and a second limit value of sleep efficiency, dividing the patients into age groups 1, 2, and 3 according to their ages, wherein the age of the patients in age group 3 is greater than or equal to 61 years old, and judging the sleep efficiency of the patients with the first limit value and the second limit value according to the sleep efficiency of the patients on the previous day, thereby adjusting the number of training items in the initialization training program of the day;

[0016] S44, dynamically adjusting the first threshold value and the second threshold value for judging the sleep efficiency of patients in age group 3;

[0017] S5. After completing the training for the current week and before moving on to the training for the next week, calculate the patient's comprehensive training effect for each day of the week, then calculate the effect deterioration rate for each day of the week and the comprehensive effect deterioration rate for the week, and determine whether to adjust the difficulty ratio of the training items in the training task library based on the effect deterioration rate for each day of the week and the comprehensive effect deterioration rate for the week.

[0018] Furthermore, in step S42, the evaluation of the cognitive level includes low, average, and high. When the cognitive level is judged to be low, the corresponding easy training items in the training task library account for 90%, and the difficult tasks account for 10%; when the cognitive level is judged to be average, the corresponding easy training items in the training task library account for 60%, and the difficult tasks account for 40%; when the cognitive level is judged to be high, the corresponding easy training items in the training task library account for 35%, and the difficult tasks account for 65%.

[0019] Furthermore, in step S42, when the cognitive level is greater than 0 and less than 3, the patient's cognitive level is judged to be low, when the cognitive level is greater than or equal to 3 and less than 5, the patient's cognitive level is judged to be average, and when the cognitive level is greater than or equal to 5, the patient's cognitive level is judged to be high.

[0020] Furthermore, the cognitive level is calculated by the following formula:

[0021] ;

[0022] In the above formula, Indicates cognitive level; Indicates the assigned scores of different educational backgrounds, where primary school education is assigned a score of 1, junior high school education is assigned a score of 2, high school education is assigned a score of 3, junior college education is assigned a score of 4, undergraduate education is assigned a score of 5, and postgraduate education is assigned a score of 6; Represents the Mindfulness Five-Factor Scale Index.

[0023] Furthermore, the Mindfulness Five-Factor Scale Index Calculated by the following formula:

[0024] ;

[0025] In the above formula, represents the actual score of the patient's five-factor mindfulness scale, represents the theoretical minimum score of the five-factor mindfulness scale, Represents the theoretical maximum score of the Mindfulness Five-Factor Scale.

[0026] Furthermore, in step S44, the first limit value and the second limit value are adjusted by the following formula:

[0027] ;

[0028] In the above formula, represents the i-th limit value, i is 1 or 2, represents the first limit value, represents the second limit value; represents the initial i-th limit value, is 85%, 90%; represents the impact rate of the execution factor, represents the influence rate of age factor, Represents the impact rate of disease factors.

[0029] Furthermore, the impact rate of execution factor, age factor and disease factor are calculated by the following formulas:

[0030] ;

[0031] ;

[0032] ;

[0033] In the above formula, , , is a constant; Indicates the task execution threshold; Indicates the weekly average execution degree; Indicates the actual age of the patient. Indicates the maximum age; Indicates the disease factor, which is 0 or 1. When the patient has no chronic disease, It indicates that the patient has a chronic disease.

[0034] Furthermore, S5 specifically includes the following steps:

[0035] S51. Calculate the comprehensive training effect of each day of the week;

[0036] S52, calculating the effect deterioration rate of each day of the week according to the comprehensive training effect calculated in step S51; when the effect deterioration rate is a positive value, it indicates that the effect is deteriorating; when the effect deterioration rate is a negative value, it indicates that the effect is improving;

[0037] S53, calculating the comprehensive effect deterioration rate of the week based on the effect deterioration rate of each day of the week calculated in S52;

[0038] S54. For the second week, if there are four days of deterioration in the first week, and the comprehensive deterioration rate of the first week is positive, adjust the difficulty ratio of the training items in the training task library according to the average weekly execution rate of the first week. Otherwise, do not adjust it. For the third to eighth weeks, set the comprehensive deterioration rate of the previous week to The overall effect deterioration rate of the previous week was ,if , then the difficulty ratio of the same training items in the current week remains unchanged from the previous week. , adjust the difficulty ratio of the training items in the training task library according to the average weekly execution rate of the previous week.

[0039] Furthermore, in step S51, the comprehensive training effect of each day of the week is calculated by the following formula:

[0040] ;

[0041] In the above formula, represents the comprehensive training effect on the jth day of the week, represents the reference score value of the Pittsburgh Sleep Quality Scale, represents the actual score of the Pittsburgh Sleep Quality Scale on day j, Indicates The weight value of the negative indicator for the week, Indicates The reference score value of negative indicators, The patient's day j of the week The actual score of the negative indicator, Indicates the total number of negative indicators; Indicates The weight value of the positive indicator for the week, The patient's day j of the week The actual value or actual score of a positive indicator, Indicates The reference value or reference score of a positive indicator, Represents the total number of positive indicators.

[0042] Furthermore, the negative indicators include the Insomnia Severity Scale, the Generalized Anxiety Questionnaire, and the Depression Questionnaire; the positive indicators include the Mindfulness Five-Factor Scale, task execution, training continuity, sleep hygiene, and sleep efficiency.

[0043] Furthermore, the actual value of task execution = duration completion rate Task completion rate, duration completion rate = viewing time / total time, task completion rate = number of completed tasks / total task data; the actual value of training continuity = number of completed days / total days.

[0044] Furthermore, the weight values ​​of different indicators for the current week are adjusted according to the weight values ​​of the corresponding indicators in the previous week. The specific method is: collect data of each indicator in the previous week and perform multivariate linear regression analysis to obtain the auxiliary weight value of each indicator for the current week, and calculate the weight value of each indicator for the current week based on the auxiliary weight value of each indicator for the current week and the weight value of each indicator in the previous week.

[0045] Furthermore, the auxiliary weight value of each indicator for the week is obtained by the following formula:

[0046] ;

[0047] In the above formula, represents the multiple linear regression function, , All represent constants, Indicates the auxiliary weight value of the first negative indicator in the current week. represents the first negative indicator variable, Indicates The auxiliary weight value of the negative indicator for the week, Indicates A negative indicator variable, Indicates the auxiliary weight value of the first positive indicator for the week. represents the first positive indicator variable, Indicates The auxiliary weight value of the positive indicator for the week, Indicates A positive indicator variable.

[0048] Furthermore, the weight value of each indicator for the week is calculated by the following formula:

[0049] ;

[0050] ;

[0051] In the above formula, Indicates The weight value of the negative indicator for the week, Indicates The weight value of the negative indicator last week, Indicates The auxiliary weight value of the negative indicator for the week; Indicates The weight value of the positive indicator for the week, Indicates The weight value of the positive indicator last week, Indicates The auxiliary weight value of the positive indicator for the week.

[0052] Furthermore, the weight values ​​of each indicator in the first week are:

[0053] The weight values ​​of each indicator in the first week for patients with insomnia and anxiety were: Insomnia Severity Scale was 0.2, Generalized Anxiety Questionnaire was 0.18, Depression Questionnaire was 0.15, Mindfulness Five-Factor Scale was 0.13, Task Execution was 0.11, Training Continuity was 0.11, Sleep Hygiene was 0.07, Sleep Efficiency was 0.05;

[0054] The weight values ​​of each indicator in the first week for patients with insomnia and depression were: Insomnia Severity Scale was 0.2, Generalized Anxiety Questionnaire was 0.18, Depression Questionnaire was 0.05, Mindfulness Five-Factor Scale was 0.13, Task Execution was 0.11, Training Continuity was 0.11, Sleep Hygiene was 0.07, Sleep Efficiency was 0.15;

[0055] The weight values ​​of each indicator for general insomnia patients in the first week are: Insomnia Severity Scale is 0.125, Generalized Anxiety Questionnaire is 0.125, Depression Questionnaire is 0.125, Mindfulness Five-Factor Scale is 0.125, Task Execution is 0.125, Training Continuity is 0.125, Sleep Hygiene is 0.125, and Sleep Efficiency is 0.125.

[0056] Furthermore, it is characterized in that, in step S52, the effect deterioration rate of each day of the week is calculated by the following formula:

[0057] ;

[0058] In the above formula, It indicates the effect deterioration rate on the jth day of the week, It indicates the effect deterioration threshold. A negative value of the effect deterioration rate indicates an improvement in the effect, and a positive value of the effect deteriorates the effect.

[0059] Furthermore, the comprehensive effect deterioration rate of the week in step S53 is calculated by the following formula:

[0060] ;

[0061] In the above formula, Indicates the overall effect deterioration rate for the week.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] The present invention measures the patient's mindfulness level to demonstrate the cognitive level, and on the basis of academic qualifications, takes the patient's mindfulness level into consideration to correct the patient's cognitive level; dynamically adjusts the limit value of the sleep efficiency of the elderly group by considering their execution, age, and disease conditions; in terms of adjusting the difficulty ratio of weekly training items, multiple indicators are considered to obtain the comprehensive training effect, effect deterioration rate, and comprehensive effect deterioration rate, and whether to adjust the difficulty ratio of the training items of the week is determined based on the effect deterioration rate and the comprehensive effect deterioration rate; the patient's characteristics can be evaluated more accurately and comprehensively, and more appropriate tasks with a better matching difficulty level can be recommended to maximize the training effect and improve compliance. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0065] The technical solution of the present invention will be clearly described below in conjunction with the accompanying drawings. Obviously, the described embodiments are not all embodiments of the present invention, and all other embodiments obtained by ordinary technicians in the field without making creative work are within the protection scope of the present invention.

[0066] like Figure 1 As shown, the present invention provides a mindfulness therapy task recommendation method for multi-dimensional evaluation of training effect, comprising the following steps:

[0067] S1. Patient assessment, including patient information collection, risk questionnaire survey, and scale assessment.

[0068] Among them, the patient's information includes: name, age, gender, height, weight, BMI and contact information, etc.

[0069] The risk questionnaire survey content includes: insomnia duration, family history, physical illness, mental symptoms, medication history, nature of work and educational background, etc.

[0070] The scale assessment contents include: Pittsburgh Sleep Quality Index PSQI, Insomnia Severity Index ISI, Mindfulness Five-Factor Scale, Sleepiness Scale ESS, Generalized Anxiety Scale GAD-7 and Brief Depression Questionnaire PHQ-9.

[0071] S2. According to the patient evaluation results in step S1, the patients are stratified for insomnia analysis. The insomnia stratification includes insomnia with anxiety, insomnia with depression, and general insomnia.

[0072] Among them, the criteria for judging the insomnia with anxiety level are: patients with a generalized anxiety scale assessment level of mild or above, and a simple self-rated depression scale assessment level of normal; the criteria for judging the insomnia with depression level are: patients with a normal assessment level of generalized anxiety scale, and a simple self-rated depression scale assessment level of mild or above; the criteria for judging the general insomnia level are: patients with both generalized anxiety scale and simple self-rated depression scale assessment levels of mild or above, or both are normal patients.

[0073] The scoring criteria for each scale are shown in Table 1 below:

[0074] Table 1 Scoring criteria for each scale

[0075]

[0076] S3. For patients who have been stratified for insomnia, the corresponding eight-week initialization training program is pushed. In the eight-week initialization training program, a training program for the first day of each week is formulated according to the weekly theme and training goals. Patients perform training on the first day of the week according to the initialization training program.

[0077] Among them, the eight-week initialization training program corresponding to patients with different insomnia stratifications is shown in Table 2, Table 3, and Table 4 below. The training is conducted continuously for 6-7 days per week. In the embodiment of the present invention, 6 days is preferred. The training item columns in Table 2, Table 3, and Table 4 are the task training items on the first day of each week, and the training items on the remaining days are dynamically adjusted and generated based on the training items of the previous day. The specific adjustment method is shown in step S4.

[0078] Table 2 Initialization training plan for insomnia with anxiety layer

[0079]

[0080] Table 3 Initialization training scheme for insomnia with depression layer

[0081]

[0082] Table 4 General insomnia layer initialization training scheme (standard training task)

[0083]

[0084] S4, weekly task recommendation, starting from the second day of the week, set the patient's training plan of the previous day as the initial training plan for the day, then adjust the difficulty ratio of the training items in the training task library according to the patient's cognitive level, and then adjust the number of training items in the initial training plan for the day according to the patient's sleep efficiency of the previous day and the patient's age, and get the training plan for the day and push it to the patient for training; and so on, complete the training plan push for the week. Specifically including the following steps:

[0085] S41. Starting from the second day of the week, the patient's training program from the previous day of the week is set as the initialization training program for the day.

[0086] S42. Adjust the difficulty ratio of the training items in the training task library according to the patient's cognitive level. The Five-Factor Mindfulness Scale has 39 items, consisting of five dimensions: observation, description, mindful action, non-judgment, and non-reactivity. The higher the score, the higher the patient's mindfulness ability and level. Therefore, the patient's mindfulness level is measured as a correction variable for the cognitive level.

[0087] The cognitive level is calculated by the following formula:

[0088] ;

[0089] In the above formula, Indicates cognitive level; Indicates the assigned scores of different educational backgrounds. The larger the value, the higher the educational background. For primary school education, the value is 1; for junior high school education, the value is 2; for high school education, the value is 3; for junior college education, the value is 4; for undergraduate education, the value is 5; and for postgraduate education, the value is 6; Represents the Mindfulness Five-Factor Scale Index.

[0090] The five-factor mindfulness scale index was calculated using the following formula:

[0091] ;

[0092] In the above formula, represents the actual score of the patient's five-factor mindfulness scale, represents the theoretical minimum score of the five-factor mindfulness scale, represents the theoretical maximum score of the five-factor mindfulness scale. Specifically, is 39, is 195.

[0093] When the cognitive level is greater than or equal to 0 and less than 3, the patient's cognitive level is judged to be low; when the cognitive level is greater than or equal to 3 and less than 5, the patient's cognitive level is judged to be average; when the cognitive level is greater than or equal to 5, the patient's cognitive level is judged to be high.

[0094] The cognitive level is judged to be low, and the corresponding training task library list has 90% easy training items and 10% difficult tasks.

[0095] The cognitive level is judged to be average, and the corresponding training task library list contains 60% easy training items and 40% difficult tasks.

[0096] The cognitive level is judged to be high, and the corresponding training task library list has 35% easy training items and 65% difficult tasks.

[0097] S43. According to the patient's sleep efficiency on the previous day and the patient's age, the number of training items in the initial training program of the day is adjusted, specifically:

[0098] S431. Divide the patients into age groups according to their ages, and obtain the upper limit of the number of daily task training items and the lower limit of the total duration of daily task training corresponding to the age of the patients.

[0099] For patients of different age groups, the upper limit of the number of daily task training items is set to be the same, which is 3-6. In the embodiment of the present invention, 4 is preferably set.

[0100] The lower limit of the total duration of daily task training for different age groups is set as follows:

[0101] Age group 1 (18-44 years old): The total time of task training per day shall not be less than 30 minutes.

[0102] Age group 2 (45-60 years old): The total time of task training per day shall not be less than 40 minutes.

[0103] Age group 3 (61-100 years old): The total task training time per day shall not be less than 45 minutes.

[0104] S432, calculating the patient's sleep efficiency on the previous day, and determining whether the task training items on the day need to be increased or decreased based on the patient's sleep efficiency on the previous day and the patient's age group, specifically:

[0105] Sleep efficiency is calculated by the following formula:

[0106] ;

[0107] In the above formula, represents the sleep efficiency, Indicates the actual sleep duration of the patient the previous day. Indicates the length of time the patient spent in bed the previous day.

[0108] The criteria for increasing or decreasing the daily task training items are as follows:

[0109] (1) If the sleep efficiency yesterday was , if it is judged that the sleep efficiency is low, the task training items of the day will be adjusted, specifically:

[0110] First, determine the number of task training items for the day;

[0111] 1) If the number of task training items on that day is less than the upper limit of the number of task training items for the patient's age group (all 4), the number of task training items on that day will be increased by 1 at a time, and after each increase, the number of task training items on that day and the total duration of task training on that day will be judged: If the number of task training items on that day = the upper limit of the number of task training items for the patient's age group, or the total duration of task training on that day ≥ the lower limit of the total duration of task training for the patient's age group, if either of the two conditions is met, stop adding training items; otherwise, continue to add training items.

[0112] The method of gradually adding training items is as follows: according to the list of the initialization training program library of the layer where the patient is located, a training item is sequentially taken down as the added training item.

[0113] 2) If the number of task training items on that day has reached the upper limit of the number of task training items for the patient's age group, the number of task training items on that day will remain unchanged and the total duration of the task training will no longer be determined.

[0114] (2) If the sleep efficiency yesterday was , if the sleep efficiency is judged to be normal, the task training items for that day will remain the same as yesterday.

[0115] (3) If the sleep efficiency yesterday was , if the sleep efficiency is judged to be good, the task training items of the day will be reduced and adjusted, specifically:

[0116] First, determine the number of task training items for the day.

[0117] 1) If the number of task training items for the day is greater than the number of task training items on the first day of the week, the number of task training items for the day will be reduced by 1, and the total duration of the task training for the day after reducing 1 training item will be determined: if the total duration of the task training for the day is less than the lower limit of the total duration of task training for the patient's age group, the reduced 1 training item will be cancelled, the number of task training items for the day will remain unchanged, and the reduction will be terminated; if the total duration of the task training for the day is ≥ the lower limit of the total duration of task training for the patient's age group, the number of task training items for the day will be reduced by 1 training item, and the reduction will be terminated.

[0118] The way to reduce training items is to subtract the most recently added training item; if no training items have been added recently, subtract the last training item in the training plan for the day.

[0119] 2) If the number of task training items for the day = the number of task training items on the first day of the week, the number of task training items for the day remains unchanged and the total duration of the task training will no longer be determined.

[0120] Different from adding one training item at a time during adjustment, only one reduction is made during adjustment, and one training item is reduced. The purpose is to avoid excessively reducing training items, which may lead to a significant decrease in the patient's sleep efficiency when the patient's current sleep efficiency is good.

[0121] In step S432, the method for obtaining the added or reduced training items is as follows:

[0122] The parameter information of all training items is stored in the training task library list, including: training item type, format, function, training time, content level, difficulty, training form, whether training is required, training frequency, audio duration, anxiety-associated sorting parameter, depression-associated sorting parameter and insomnia sorting parameter; the anxiety-associated sorting parameter, depression-associated sorting parameter and insomnia sorting parameter are respectively set for the three insomnia stratifications, and are used to sort all the training items stored in the training task library list corresponding to the three insomnia stratifications, specifically:

[0123] In the training task library list corresponding to the insomnia with anxiety layer, the anxiety-associated sorting parameters of all training items are stored, and all training items are sorted in ascending order according to the principle of "reducing insomnia symptoms and relieving anxiety"; in the training task library list corresponding to the insomnia with depression layer, the depression-associated sorting parameters of all training items are stored, and all training items are sorted in ascending order according to the principle of "improving insomnia and reducing depression"; in the training task library list corresponding to the chronic insomnia layer, the general insomnia sorting parameters of all training items are stored, and all training items are sorted in ascending order according to the principle of "improving insomnia and relieving negative emotions".

[0124] The first limit value is 85%, and the second limit value is 90%.

[0125] S44. Dynamically adjust the first and second limit values ​​for determining sleep efficiency of patients in age group 3. For adults, sleep needs are relatively stable, and the limit values ​​are relatively stable. However, for the elderly, sleep needs are reduced, and task execution, age factors, and health conditions can easily affect sleep efficiency, making the sleep efficiency of the elderly different from that of the adult group. Therefore, it is necessary to dynamically adjust the first and second limit values ​​according to the characteristics of the elderly group. Specifically:

[0126] For patients in age group 3, starting from the third week, if the accumulated sleep efficiency for four days in the second week is less than 75%, and the weekly average execution is less than or equal to 80%, the first and second limit values ​​need to be adjusted. Similarly, the sleep efficiency and weekly average execution data of the previous week will be judged each week to decide whether to adjust the first and second limit values.

[0127] The first and second limit values ​​are adjusted by the following formula:

[0128] ;

[0129] In the above formula, represents the i-th limit value, i is 1 or 2, that is, represents the first limit value, represents the second limit value; represents the initial i-th limit value, that is, is 85%, 90%; represents the impact rate of the execution factor, represents the influence rate of age factor, represents the impact rate of disease factors; the impact rate of execution factor, the impact rate of age factor and the impact rate of disease factor are calculated by the following formulas:

[0130] ;

[0131] ;

[0132] ;

[0133] In the above formula, is 0.08, is 0.05, is 0.01; Indicates the task execution threshold, specifically 80%; Indicates the weekly average execution degree; Indicates the actual age of the patient. Indicates the maximum age; Indicates the disease factor, which is 0 or 1. When the patient has no chronic disease, When , it means the patient has a chronic disease; , , The value can be adjusted.

[0134] S5. After completing the training of the current week and before starting the training of the next week, calculate the comprehensive training effect of the patient every day of the week, calculate the effect deterioration rate of each day of the week based on the comprehensive training effect, calculate the comprehensive effect deterioration rate of the week based on the effect deterioration rate of each day of the week, and determine whether to adjust the difficulty ratio of the training items in the training task library based on the effect deterioration rate and the comprehensive effect deterioration rate. Specifically, adjust the difficulty ratio of the training items in the training task library based on the weekly average execution degree. Specifically:

[0135] S51. Calculate the comprehensive training effect of each day of the week, which is calculated by the following formula:

[0136] ;

[0137] In the above formula, represents the comprehensive training effect on the jth day of the week, represents the reference score value of the Pittsburgh Sleep Quality Scale, represents the actual score of the Pittsburgh Sleep Quality Scale on day j, Indicates The weight value of the negative indicator for the week, Indicates The reference score value of negative indicators, The patient's day j of the week The actual score of the negative indicator, Represents the total number of negative indicators, Take 3; Indicates The weight value of the positive indicator for the week, The patient's day j of the week The actual value or actual score of a positive indicator, Indicates The reference value or reference score of a positive indicator, Represents the total number of positive indicators, Take 5; negative indicators include Insomnia Severity Scale, Generalized Anxiety Questionnaire, Depression Questionnaire; positive indicators include Mindfulness Five-Factor Scale, Task Execution, Training Continuity, Sleep Hygiene, Sleep Efficiency, among which, take the actual score and reference score of the Mindfulness Five-Factor Scale, take the actual value and reference value of task execution, training continuity, sleep hygiene, and sleep efficiency.

[0138] Among them, the actual value of task execution degree = duration completion rate Task completion rate, duration completion rate = viewing time / total time, task completion rate = number of completed tasks / total task data.

[0139] The actual value of training continuity = completed days / total days.

[0140] The weight values ​​of different indicators in the first week are shown in Table 5:

[0141] Table 5 Weight values ​​of different indicators in the first week

[0142]

[0143] The weight values ​​of different indicators in the second week are adjusted according to the weight values ​​in the first week, and the weight values ​​of different indicators in the third week are adjusted according to the weight values ​​in the second week, and so on. The specific method is:

[0144] The data of each indicator in the previous week were collected and multivariate linear regression analysis was performed to obtain the following formula, thereby obtaining the auxiliary weight value of each indicator in the current week:

[0145] ;

[0146] In the above formula, represents the multiple linear regression function, , All represent constants, Indicates the auxiliary weight value of the first negative indicator in the current week. represents the first negative indicator variable, Indicates The auxiliary weight value of the negative indicator for the week, Indicates A negative indicator variable, Indicates the auxiliary weight value of the first positive indicator for the week. represents the first positive indicator variable, Indicates The auxiliary weight value of the positive indicator for the week, Indicates Positive indicator variables. Among them, negative indicator variable = reference score value of the negative indicator / actual score value of the negative indicator in the previous week, positive indicator variable = actual score value or actual value of the positive indicator in the previous week / reference score value or reference value of the positive indicator in the previous week.

[0147] The weight values ​​of each indicator for the week are calculated using the following formula:

[0148] ;

[0149] ;

[0150] In the above formula, Indicates The weight value of the negative indicator for the week, Indicates The weight value of the negative indicator last week, Indicates The auxiliary weight value of the negative indicator for the week; Indicates The weight value of the positive indicator for the week, Indicates The weight value of the positive indicator last week, Indicates The auxiliary weight value of the positive indicator for the week.

[0151] S52. According to the daily effect deterioration rate of the week, it is calculated by the following formula:

[0152] ;

[0153] In the above formula, It indicates the effect deterioration rate on the jth day of the week, It indicates the effect deterioration threshold. A negative value of the effect deterioration rate indicates an improvement in the effect, and a positive value of the effect deteriorates the effect.

[0154] S53. Calculate the comprehensive effect deterioration rate of the week based on the daily effect deterioration rate of the week, which is specifically calculated by the following formula:

[0155] ;

[0156] In the above formula, Indicates the overall effect deterioration rate for the week.

[0157] S54. For the second week, if there are four cumulative days of deterioration in the effect in the first week and the comprehensive deterioration rate of the effect in the first week is a positive value, the difficulty ratio of the training items in the training task library is adjusted according to the weekly average execution rate of the first week. Otherwise, the difficulty ratio of the training items in the training task library remains unchanged.

[0158] For the third to eighth weeks, set the overall effect deterioration rate of the previous week The overall effect deterioration rate of the previous week was ,if , then the difficulty ratio of the training items in the current week remains the same as that of the previous week. If , adjust the difficulty ratio of the training items in the training task library based on the average weekly execution rate of the previous week.

[0159] ;

[0160] In the above formula, Indicates the average execution rate of the previous week. represents the duration completion rate of the jth day of the previous week, Indicates the task completion rate on the jth day of the previous week.

[0161] The specific ratio of difficulty of training items in the training task library is adjusted according to the weekly average execution rate:

[0162] (1) If the average execution rate of the weekly tasks in the previous week is , the proportion of easy training items in the training task library list is adjusted to 90%, and the proportion of difficult task items is adjusted to 10%.

[0163] If the average execution rate of the weekly tasks in the previous week , the proportion of easy training items in the training task library list is adjusted to 85%, and the proportion of difficult task items is adjusted to 15%.

[0164] If the average execution rate of the weekly task last week , the proportion of easy training items in the training task library list is adjusted to 80%, and the proportion of difficult task items is adjusted to 20%.

[0165] If the average execution rate of the weekly tasks in the previous week , the proportion of easy training items in the training task library list is adjusted to 75%, and the proportion of difficult training items is adjusted to 25%.

[0166] The present invention measures the patient's mindfulness level to demonstrate the cognitive level, and on the basis of academic qualifications, takes the patient's mindfulness level into consideration to correct the patient's cognitive level; dynamically adjusts the limit value of the sleep efficiency of the elderly group by considering their execution, age, and disease conditions; in terms of adjusting the difficulty ratio of weekly training items, multiple indicators are considered to obtain the comprehensive training effect, effect deterioration rate, and comprehensive effect deterioration rate, and whether to adjust the difficulty ratio of the training items of the week is determined based on the effect deterioration rate and the comprehensive effect deterioration rate; the patient's characteristics can be evaluated more accurately and comprehensively, and more appropriate tasks with a better matching difficulty level can be recommended to maximize the training effect and improve compliance.

[0167] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions of the technical solution of the present invention by ordinary technicians in this field do not deviate from the essence and scope of the technical solution of the present invention.

Claims

1. A mindfulness therapy task recommendation method for multi-dimensional evaluation of training effects, characterized in that: The following steps are involved: S1. Patient assessment, including patient information collection, risk questionnaire survey, and scale assessment; S2. According to the evaluation results of the patients in step S1, the patients are stratified into insomnia with anxiety, insomnia with depression, and general insomnia. S3. For patients with insomnia with anxiety, insomnia with depression, and general insomnia, the corresponding eight-week initialization training program is pushed out respectively, and the patients perform training on the first day of the week according to the corresponding eight-week initialization training program; S4. Weekly task recommendations: S41, starting from the second day of the week, setting the patient's training program of the previous day of the week as the initial training program of the day; S42. Adjust the difficulty ratio of the training items in the training task library according to the patient's cognitive level, and map the patient's cognitive level through the level of mindfulness; S43, setting a first limit value and a second limit value of sleep efficiency, dividing the patients into age groups 1, 2, and 3 according to their ages, wherein the age of the patients in age group 3 is greater than or equal to 61 years old, and judging the sleep efficiency of the patients with the first limit value and the second limit value according to the sleep efficiency of the patients on the previous day, thereby adjusting the number of training items in the initialization training program of the day; S44, dynamically adjust the first threshold value and the second threshold value for judging the sleep efficiency of patients in age group 3; specifically, adjust by the following formula: ； In the above formula, represents the i-th limit value, i is 1 or 2, represents the first limit value, represents the second limit value; represents the initial i-th limit value, is 85%, 90%; represents the impact rate of the execution factor, represents the influence rate of age factor, represents the disease factor influence rate; The impact rate of execution factor, age factor and disease factor are calculated by the following formulas: ； ； ； In the above formula, , , is a constant; Indicates the task execution threshold; Indicates the weekly average execution degree; Indicates the actual age of the patient. Indicates the maximum age; Indicates the disease factor, which is 0 or 1. When the patient has no chronic disease, When , it means the patient has a chronic disease; S5. After completing the training of the current week and before starting the training of the next week, calculate the comprehensive training effect of the patient every day in the current week, then calculate the effect deterioration rate of each day in the current week and the comprehensive effect deterioration rate of the current week, and determine whether to adjust the difficulty ratio of the training items in the training task library according to the effect deterioration rate of each day in the current week and the comprehensive effect deterioration rate of the current week; The comprehensive training effect for each day of the week is calculated using the following formula: ； In the above formula, represents the comprehensive training effect on the jth day of the week, represents the reference score value of the Pittsburgh Sleep Quality Scale, represents the actual score of the Pittsburgh Sleep Quality Scale on day j, Indicates The weight value of the negative indicator for the week, Indicates The reference score value of negative indicators, The patient's day j of the week The actual score of the negative indicator, Indicates the total number of negative indicators; Indicates The weight value of the positive indicator for the week, The patient's day j of the week The actual value or actual score of a positive indicator, Indicates The reference value or reference score of a positive indicator, Represents the total number of positive indicators.

2. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 1, characterized in that: In step S42, the evaluation of cognitive level includes low, average, and high. When the cognitive level is judged to be low, the corresponding easy training items in the training task library account for 90%, and the difficult tasks account for 10%; when the cognitive level is judged to be average, the corresponding easy training items in the training task library account for 60%, and the difficult tasks account for 40%; when the cognitive level is judged to be high, the corresponding easy training items in the training task library account for 35%, and the difficult tasks account for 65%.

3. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 2, characterized in that: In step S42, when the cognitive level is greater than 0 and less than 3, the patient's cognitive level is judged to be low; when the cognitive level is greater than or equal to 3 and less than 5, the patient's cognitive level is judged to be average; when the cognitive level is greater than or equal to 5, the patient's cognitive level is judged to be high.

4. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 3, characterized in that: The cognitive level is calculated by the following formula: ； In the above formula, Indicates cognitive level; Indicates the assigned scores of different educational backgrounds, where primary school education is assigned a score of 1, junior high school education is assigned a score of 2, high school education is assigned a score of 3, junior college education is assigned a score of 4, undergraduate education is assigned a score of 5, and postgraduate education is assigned a score of 6; Represents the Mindfulness Five-Factor Scale Index.

5. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 4, characterized in that: Mindfulness Five-Factor Scale Index Calculated by the following formula: ； In the above formula, represents the actual score of the patient's five-factor mindfulness scale, represents the theoretical minimum score of the five-factor mindfulness scale, Represents the theoretical maximum score of the Mindfulness Five-Factor Scale.

6. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 1, characterized in that: S5 specifically includes the following steps: S51. Calculate the comprehensive training effect of each day of the week; S52, calculating the effect deterioration rate of each day of the week according to the comprehensive training effect calculated in step S51; when the effect deterioration rate is a positive value, it indicates that the effect is deteriorating; when the effect deterioration rate is a negative value, it indicates that the effect is improving; S53, calculating the comprehensive effect deterioration rate of the week based on the effect deterioration rate of each day of the week calculated in S52; S54. For the second week, if there are four days of deterioration in the first week, and the comprehensive deterioration rate of the first week is positive, adjust the difficulty ratio of the training items in the training task library according to the average weekly execution rate of the first week. Otherwise, do not adjust it. For the third to eighth weeks, set the comprehensive deterioration rate of the previous week to The overall effect deterioration rate of the previous week was ,if , then the difficulty ratio of the same training items in the current week remains unchanged from the previous week. , adjust the difficulty ratio of the training items in the training task library according to the average weekly execution rate of the previous week.

7. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 6, characterized in that: The negative indicators include the Insomnia Severity Scale, the Generalized Anxiety Questionnaire, and the Depression Questionnaire; the positive indicators include the Mindfulness Five-Factor Scale, task execution, training continuity, sleep hygiene, and sleep efficiency.

8. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 7, characterized in that: The actual value of task execution = duration completion rate Task completion rate, duration completion rate = viewing time / total time, task completion rate = number of completed tasks / total task data; the actual value of training continuity = number of completed days / total days.

9. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 7, characterized in that: The weight values ​​of different indicators for the current week are adjusted according to the weight values ​​of the corresponding indicators in the previous week. The specific method is: collect data of each indicator in the previous week and perform multivariate linear regression analysis to obtain the auxiliary weight value of each indicator for the current week; calculate the weight value of each indicator for the current week based on the auxiliary weight value of each indicator for the current week and the weight value of each indicator in the previous week.

10. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 9, characterized in that: The auxiliary weight value of each indicator for the week is obtained by the following formula: ； In the above formula, represents the multiple linear regression function, , All represent constants, Indicates the auxiliary weight value of the first negative indicator in the current week. represents the first negative indicator variable, Indicates The auxiliary weight value of the negative indicator for the week, Indicates A negative indicator variable, Indicates the auxiliary weight value of the first positive indicator for the week. represents the first positive indicator variable, Indicates The auxiliary weight value of the positive indicator for the week, Indicates A positive indicator variable.

11. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 10, characterized in that: The weight value of each indicator for the week is calculated using the following formula: ； ； In the above formula, Indicates The weight value of the negative indicator for the week, Indicates The weight value of the negative indicator last week, Indicates The auxiliary weight value of the negative indicator for the week; Indicates The weight value of the positive indicator for the week, Indicates The weight value of the positive indicator last week, Indicates The auxiliary weight value of the positive indicator for the week.

12. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 10, characterized in that: The weight values ​​of each indicator in the first week are: The weight values ​​of each indicator in the first week for patients with insomnia and anxiety were: Insomnia Severity Scale was 0.2, Generalized Anxiety Questionnaire was 0.18, Depression Questionnaire was 0.15, Mindfulness Five-Factor Scale was 0.13, Task Execution was 0.11, Training Continuity was 0.11, Sleep Hygiene was 0.07, Sleep Efficiency was 0.05; The weight values ​​of each indicator in the first week for patients with insomnia and depression were: Insomnia Severity Scale was 0.2, Generalized Anxiety Questionnaire was 0.18, Depression Questionnaire was 0.05, Mindfulness Five-Factor Scale was 0.13, Task Execution was 0.11, Training Continuity was 0.11, Sleep Hygiene was 0.07, Sleep Efficiency was 0.15; The weight values ​​of each indicator for general insomnia patients in the first week are: Insomnia Severity Scale is 0.125, Generalized Anxiety Questionnaire is 0.125, Depression Questionnaire is 0.125, Mindfulness Five-Factor Scale is 0.125, Task Execution is 0.125, Training Continuity is 0.125, Sleep Hygiene is 0.125, and Sleep Efficiency is 0.

125.

13. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to any one of claims 9 to 12, characterized in that: In step S52, the daily effect deterioration rate of the week is calculated by the following formula: ； In the above formula, It indicates the effect deterioration rate on the jth day of the week, It indicates the effect deterioration threshold. A negative value of the effect deterioration rate indicates an improvement in the effect, and a positive value of the effect deteriorates the effect.

14. The method for recommending mindfulness therapy tasks for multi-dimensional evaluation of training effects according to claim 13, characterized in that: The comprehensive effect deterioration rate of the week in step S53 is calculated by the following formula: ； In the above formula, Indicates the overall effect deterioration rate for the week.

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