AI-guided psychological massage chair personalized treatment method and system

Abstract

The invention discloses an AI-guided psychological massage chair personalized treatment method and system, relates to the field of biomedical engineering, solves the problem of poor treatment effect of a massage chair personalized treatment method, and comprises the following steps: S1, carrying out periodic integral myoelectricity value monitoring on a cancer patient in a physiological index monitoring period, s2, carrying out periodic blood pressure index monitoring on the cancer patient in the psychological index monitoring period, and obtaining a periodic blood pressure index monitoring value corresponding to the psychological index monitoring period according to the monitoring result; s3, guiding treatment is conducted on the cancer patient according to the myoelectricity index monitoring index value and the periodic blood pressure index monitoring numerical value, pertinence of the treatment process of the massage chair can be improved, and the treatment effect of the massage chair is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of biomedical engineering and relates to monitoring and treatment equipment manufacturing technology, specifically an AI-guided psychological massage chair personalized treatment method and system. Background Art

[0002] The existing personalized treatment methods of psychological massage chairs have the following specific defects when treating cancer patients:

[0003] 1. It is impossible to perform periodic integrated electromyographic value monitoring on cancer patients who are in the physiological indicator monitoring cycle. It is impossible to obtain the electromyographic indicator monitoring index value corresponding to the physiological indicator monitoring cycle based on the monitoring results to automatically control the massage for cancer patients, resulting in errors in the on and off time of the massage function, which may easily lead to poor massage treatment effects.

[0004] 2. It is impossible to conduct periodic blood pressure monitoring on cancer patients who are in the psychological indicator monitoring period. It is impossible to obtain the periodic blood pressure indicator monitoring values corresponding to the psychological indicator monitoring period based on the monitoring results to perform automatic music therapy control on cancer patients, which leads to errors in the opening and closing time of the music therapy function, which may easily cause poor music therapy effects.

[0005] To this end, we propose an AI-guided psychological massage chair personalized treatment method and system. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an AI-guided psychological massage chair personalized treatment method and system, and the present invention aims to improve the therapeutic effect of the massage chair personalized treatment method.

[0007] In order to achieve the above objectives, the present invention adopts the following technical solution: an AI-guided psychological massage chair personalized treatment method, comprising the following specific steps:

[0008] Step S1: in the process of monitoring the physiological indicators of cancer patients, marking a physiological indicator monitoring period, performing periodic integrated myoelectric value monitoring on the cancer patients in the physiological indicator monitoring period, and obtaining the myoelectric indicator monitoring index value corresponding to the physiological indicator monitoring period according to the monitoring result;

[0009] Step S2: During the process of monitoring the psychological indicators of cancer patients, a psychological indicator monitoring period is marked, and periodic blood pressure indicator monitoring is performed on the cancer patients in the psychological indicator monitoring period, and the periodic blood pressure indicator monitoring value corresponding to the psychological indicator monitoring period is obtained according to the monitoring results;

[0010] Step S3: guiding treatment for cancer patients based on the myoelectricity index monitoring index value and the periodic blood pressure index monitoring value.

[0011] Furthermore, the step S1 further includes the following specific steps:

[0012] Step S11: During the process of monitoring the physiological indicators of the cancer patient, the massage chair marks the time point corresponding to the current moment as the cycle end time point, marks the time point when the massage chair performs autonomous control as the cycle start time point, and marks the time range between the cycle start time point and the cycle end time point as the physiological indicator monitoring cycle;

[0013] Step S12: Acquire the limb area of the cancer patient in contact with the massage chair to obtain a massage contact area, divide the massage contact area into a plurality of massage monitoring sub-areas, and mark the divided massage monitoring sub-areas as m1 massage monitoring sub-area to ma massage monitoring sub-area;

[0014] Step S13: performing periodic myoelectric index monitoring on the m1 massage monitoring sub-region in the physiological index monitoring period, and obtaining the regional myoelectric index monitoring value corresponding to the m1 massage monitoring sub-region according to the monitoring result;

[0015] Step S14: respectively obtain the regional electromyographic index monitoring values corresponding to the m2 massage monitoring sub-area to the ma massage monitoring sub-area, obtain multiple regional electromyographic index monitoring values, and perform numerical comparison on the multiple regional electromyographic index monitoring values obtained, and mark the regional electromyographic index monitoring value with the largest value as the electromyographic index monitoring index value.

[0016] Furthermore, the step S13 further includes the following specific steps:

[0017] Divide the physiological index monitoring cycle into a number of continuous and equal-length electromyographic monitoring sub-cycles, and randomly select a sample electromyographic monitoring sub-cycle from the multiple electromyographic monitoring sub-cycles obtained;

[0018] Randomly select several electromyographic monitoring time points within the sample electromyographic monitoring sub-cycle, obtain the electromyographic intensity value of the m1 massage monitoring sub-area at each electromyographic monitoring time point, obtain multiple electromyographic intensity values at each moment, and calculate the average value of the obtained multiple electromyographic intensity values to obtain the average electromyographic intensity value corresponding to the sample electromyographic monitoring sub-cycle;

[0019] Repeat the process of obtaining the average value of the electromyographic intensity corresponding to the sample electromyographic monitoring sub-cycle, obtain the average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle respectively, and compare the numerical values of the multiple electromyographic intensity average values obtained, mark the electromyographic intensity average value with the largest value as the cycle electromyographic intensity peak value, and mark the electromyographic intensity average value with the smallest value as the cycle electromyographic intensity valley value.

[0020] Furthermore, the step S13 further includes the following specific steps:

[0021] Marking a plurality of myoelectric intensity subintervals within a numerical range between a trough value and a peak value of the cycle myoelectric intensity, and marking the marked plurality of myoelectric intensity subintervals as J1 myoelectric intensity subinterval to Jb myoelectric intensity subinterval;

[0022] Obtain the intermediate values of the myoelectric intensity of the intervals corresponding to the J1 myoelectric intensity sub-interval to the Jb myoelectric intensity sub-interval respectively, and obtain the intermediate value of the myoelectric intensity of the J1 interval to the intermediate value of the myoelectric intensity of the Jb interval;

[0023] The average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle is interval-matched with the J1 electromyographic intensity sub-interval to the Jb electromyographic intensity sub-interval, and the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J1 electromyographic intensity sub-interval is accumulated to obtain the J1 electromyographic interval duration value; the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J2 electromyographic intensity sub-interval is accumulated to obtain the J2 electromyographic interval duration value; and so on, the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the Jb electromyographic intensity sub-interval is accumulated to obtain the Jb electromyographic interval duration value;

[0024] The duration of the physiological indicator monitoring cycle is acquired to obtain the duration of the physiological indicator monitoring cycle.

[0025] Furthermore, the step S13 further includes the following specific steps:

[0026] The electromyographic index monitoring value of the area corresponding to the m1 massage monitoring sub-area is obtained by calculating the electromyographic index monitoring value of the area from the middle value of the electromyographic intensity of the J1 interval to the middle value of the electromyographic intensity of the Jb interval, the electromyographic interval duration value of the J1 interval to the electromyographic interval duration value of the Jb interval, and the duration of the physiological index monitoring cycle;

[0027] Calculate the regional electromyographic index monitoring values corresponding to the m1 massage monitoring sub-area.

[0028] Furthermore, the step S2 further includes the following specific steps:

[0029] Step S21: During the process of monitoring the psychological indicators of the cancer patient, the massage chair marks the time point corresponding to the current moment as the cycle end time point, marks the time point when the massage chair performs autonomous control as the cycle start time point, and marks the time range between the cycle start time point and the cycle end time point as the psychological indicator monitoring cycle;

[0030] Step S22: performing periodic blood pressure index monitoring on the cancer patient who is in the psychological index monitoring period, and obtaining the periodic blood pressure index monitoring value according to the monitoring result.

[0031] Furthermore, the step S22 further includes the following specific steps:

[0032] Divide the psychological index monitoring period into a number of continuous and equal-length blood pressure monitoring sub-periods, and randomly select a sample blood pressure monitoring sub-period from the multiple blood pressure monitoring sub-periods obtained;

[0033] Randomly select a number of blood pressure monitoring time points within the sample blood pressure monitoring sub-cycle, obtain the blood pressure monitoring value of the cancer patient at each blood pressure monitoring time point, obtain multiple blood pressure monitoring values at each time point, and calculate the average value of the multiple blood pressure values obtained to obtain the blood pressure average value corresponding to the sample blood pressure monitoring sub-cycle;

[0034] Repeat the process of obtaining the average blood pressure values corresponding to the sample blood pressure monitoring sub-cycles, obtain the average blood pressure values corresponding to each blood pressure monitoring sub-cycle respectively, and compare the values of the multiple average blood pressure values obtained. Mark the average blood pressure value with the largest value as the peak value of the cycle blood pressure index, and mark the average blood pressure value with the smallest value as the valley value of the cycle blood pressure index.

[0035] Furthermore, the step S22 further includes the following specific steps:

[0036] Marking a plurality of blood pressure index subintervals within a numerical range between a trough value of a periodic blood pressure index and a peak value of a periodic blood pressure index, and marking the marked plurality of blood pressure index subintervals as X1 blood pressure index subinterval to Xc blood pressure index subinterval;

[0037] Obtain the intermediate values of the blood pressure indicators corresponding to the X1 blood pressure indicator subinterval to the Xc blood pressure indicator subinterval, respectively, to obtain the intermediate values of the blood pressure indicators in the X1 interval to the Xc interval;

[0038] The average blood pressure value corresponding to each blood pressure monitoring sub-cycle is interval-matched with the X1 blood pressure index sub-interval to the Xc blood pressure index sub-interval, and the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X1 blood pressure index sub-interval is accumulated to obtain the X1 blood pressure interval duration value. The cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X2 blood pressure index sub-interval is accumulated to obtain the X2 blood pressure interval duration value. Similarly, the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the Xc blood pressure index sub-interval is accumulated to obtain the Xc blood pressure interval duration value.

[0039] Obtain the duration of the psychological indicator monitoring cycle to obtain the duration of the psychological indicator monitoring cycle;

[0040] The corresponding periodic blood pressure index monitoring value of cancer patients is obtained by calculating the blood pressure index median value of the X1 interval to the blood pressure index median value of the Xc interval, the blood pressure interval duration value of the X1 interval to the blood pressure interval duration value of the Xc interval, and the psychological index monitoring cycle duration;

[0041] Calculate the periodic blood pressure index monitoring values corresponding to cancer patients.

[0042] Furthermore, the step S3 further includes the following specific steps:

[0043] Obtain the myoelectricity index monitoring index value and the periodic blood pressure index monitoring index value respectively;

[0044] Obtaining a reference interval of an electromyographic index monitoring indicator value; if the electromyographic index monitoring indicator value is within the electromyographic index monitoring indicator value interval, controlling the massage chair to start seat massage and begin massage treatment for the cancer patient; if the electromyographic index monitoring indicator value is not within the electromyographic index monitoring indicator value interval, controlling the massage chair to turn off seat massage and stop massage treatment for the cancer patient;

[0045] Obtain the reference interval of the cyclical blood pressure indicator monitoring value. If the cyclical blood pressure indicator monitoring value is within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn on the music therapy. If the cyclical blood pressure indicator monitoring value is not within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn off the music therapy.

[0046] An AI-guided psychological massage chair personalized treatment system, including:

[0047] Myoelectric monitoring module: In the process of monitoring the physiological indicators of cancer patients, a physiological indicator monitoring cycle is marked, and periodic integrated myoelectric value monitoring is performed on the cancer patients in the physiological indicator monitoring cycle. The myoelectric indicator monitoring index value corresponding to the physiological indicator monitoring cycle is obtained according to the monitoring results;

[0048] Blood pressure monitoring module: In the process of monitoring the psychological indicators of cancer patients, a psychological indicator monitoring period is marked, and periodic blood pressure indicator monitoring is performed on the cancer patients in the psychological indicator monitoring period. The periodic blood pressure indicator monitoring value corresponding to the psychological indicator monitoring period is obtained according to the monitoring results;

[0049] Guided treatment module: guides treatment for cancer patients based on the myoelectric index monitoring values and periodic blood pressure index monitoring values.

[0050] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0051] 1. The present invention performs periodic integrated electromyographic value monitoring on cancer patients who are in the physiological indicator monitoring period, and obtains the electromyographic indicator monitoring index value corresponding to the physiological indicator monitoring period based on the monitoring results to automatically control the massage of the cancer patients, which can improve the accuracy of the on and off time of the massage function and further ensure the massage treatment effect.

[0052] 2. The present invention performs periodic blood pressure index monitoring on cancer patients who are in the psychological index monitoring period, and obtains the periodic blood pressure index monitoring value corresponding to the psychological index monitoring period based on the monitoring results to perform automatic music therapy control on the cancer patients, which can improve the accuracy of the opening and closing time of the music therapy function and further ensure the effect of music therapy. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0054] Figure 1 It is a diagram of the implementation steps of the present invention;

[0055] Figure 2 This is a block diagram of the overall system of the present invention. DETAILED DESCRIPTION

[0056] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0057] Example 1

[0058] See also Figure 1 The AI-guided psychological massage chair in the present invention belongs to a monitoring and treatment device. The present invention provides a technical solution: an AI-guided psychological massage chair personalized treatment method, including the following specific steps:

[0059] Step S1: in the process of monitoring the physiological indicators of cancer patients, marking a physiological indicator monitoring period, performing periodic integrated myoelectric value monitoring on the cancer patients in the physiological indicator monitoring period, and obtaining the myoelectric indicator monitoring index value corresponding to the physiological indicator monitoring period according to the monitoring result;

[0060] The step S1 further includes the following specific steps:

[0061] Step S11: During the process of monitoring the physiological indicators of the cancer patient, the massage chair marks the time point corresponding to the current moment as the cycle end time point, marks the time point when the massage chair performs autonomous control as the cycle start time point, and marks the time range between the cycle start time point and the cycle end time point as the physiological indicator monitoring cycle;

[0062] Step S12: Acquire the limb area of the cancer patient in contact with the massage chair to obtain a massage contact area, divide the massage contact area into a plurality of massage monitoring sub-areas, and mark the divided massage monitoring sub-areas as m1 massage monitoring sub-area to ma massage monitoring sub-area;

[0063] Step S13: performing periodic myoelectric index monitoring on the m1 massage monitoring sub-region in the physiological index monitoring period, and obtaining the regional myoelectric index monitoring value corresponding to the m1 massage monitoring sub-region according to the monitoring result;

[0064] The step S13 further includes the following specific steps:

[0065] Divide the physiological index monitoring cycle into a number of continuous and equal-length electromyographic monitoring sub-cycles, and randomly select a sample electromyographic monitoring sub-cycle from the multiple electromyographic monitoring sub-cycles obtained;

[0066] Randomly select several electromyographic monitoring time points within the sample electromyographic monitoring sub-cycle, obtain the electromyographic intensity value of the m1 massage monitoring sub-area at each electromyographic monitoring time point, obtain multiple electromyographic intensity values at each moment, and calculate the average value of the obtained multiple electromyographic intensity values to obtain the average electromyographic intensity value corresponding to the sample electromyographic monitoring sub-cycle;

[0067] Repeat the process of obtaining the average value of the myoelectric intensity corresponding to the sample myoelectric monitoring sub-cycle, obtain the average value of the myoelectric intensity corresponding to each myoelectric monitoring sub-cycle respectively, and compare the values of the multiple obtained myoelectric intensity average values, mark the myoelectric intensity average value with the largest value as the cycle myoelectric intensity peak value, and mark the myoelectric intensity average value with the smallest value as the cycle myoelectric intensity valley value;

[0068] Marking a plurality of myoelectric intensity subintervals within a numerical range between a trough value and a peak value of the cycle myoelectric intensity, and marking the marked plurality of myoelectric intensity subintervals as J1 myoelectric intensity subinterval to Jb myoelectric intensity subinterval;

[0069] Obtain the intermediate values of the myoelectric intensity of the intervals corresponding to the J1 myoelectric intensity sub-interval to the Jb myoelectric intensity sub-interval respectively, and obtain the intermediate value of the myoelectric intensity of the J1 interval to the intermediate value of the myoelectric intensity of the Jb interval;

[0070] The average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle is interval-matched with the J1 electromyographic intensity sub-interval to the Jb electromyographic intensity sub-interval, and the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J1 electromyographic intensity sub-interval is accumulated to obtain the J1 electromyographic interval duration value; the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J2 electromyographic intensity sub-interval is accumulated to obtain the J2 electromyographic interval duration value; and so on, the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the Jb electromyographic intensity sub-interval is accumulated to obtain the Jb electromyographic interval duration value;

[0071] Acquiring the duration of the physiological indicator monitoring cycle to obtain the duration of the physiological indicator monitoring cycle;

[0072] The electromyographic index monitoring value of the area corresponding to the m1 massage monitoring sub-area is obtained by calculating the electromyographic index monitoring value of the area from the middle value of the electromyographic intensity of the J1 interval to the middle value of the electromyographic intensity of the Jb interval, the electromyographic interval duration value of the J1 interval to the electromyographic interval duration value of the Jb interval, and the duration of the physiological index monitoring cycle;

[0073] Calculate the regional electromyographic index monitoring value corresponding to the m1 massage monitoring sub-area. The specific formula is as follows:

[0074]

[0075] Among them, Jqz is the regional electromyographic index monitoring value, Qzi is the middle value of the electromyographic intensity of the Ji interval, Sci is the duration value of the Ji electromyographic interval, Zsc is the duration of the physiological index monitoring cycle, and b is the quantity value corresponding to the electromyographic intensity subinterval;

[0076] Step S14: Acquire the regional electromyographic index monitoring values corresponding to the massage monitoring sub-region m2 to the massage monitoring sub-region ma respectively to obtain multiple regional electromyographic index monitoring values, perform numerical comparison on the obtained multiple regional electromyographic index monitoring values, and mark the regional electromyographic index monitoring value with the largest value as the electromyographic index monitoring indicator value;

[0077] Step S2: During the process of monitoring the psychological indicators of cancer patients, a psychological indicator monitoring period is marked, and periodic blood pressure indicator monitoring is performed on the cancer patients in the psychological indicator monitoring period, and the periodic blood pressure indicator monitoring value corresponding to the psychological indicator monitoring period is obtained according to the monitoring results;

[0078] The step S2 further includes the following specific steps:

[0079] Step S21: During the process of monitoring the psychological indicators of the cancer patient, the massage chair marks the time point corresponding to the current moment as the cycle end time point, marks the time point when the massage chair performs autonomous control as the cycle start time point, and marks the time range between the cycle start time point and the cycle end time point as the psychological indicator monitoring cycle;

[0080] Step S22: performing periodic blood pressure index monitoring on the cancer patient who is in the psychological index monitoring period, and obtaining the periodic blood pressure index monitoring value according to the monitoring result;

[0081] The step S22 further includes the following specific steps:

[0082] Divide the psychological index monitoring period into a number of continuous and equal-length blood pressure monitoring sub-periods, and randomly select a sample blood pressure monitoring sub-period from the multiple blood pressure monitoring sub-periods obtained;

[0083] Randomly select a number of blood pressure monitoring time points within the sample blood pressure monitoring sub-cycle, obtain the blood pressure monitoring value of the cancer patient at each blood pressure monitoring time point, obtain multiple blood pressure monitoring values at each time point, and calculate the average value of the multiple blood pressure values obtained to obtain the blood pressure average value corresponding to the sample blood pressure monitoring sub-cycle;

[0084] Repeat the process of obtaining the average blood pressure values corresponding to the sample blood pressure monitoring sub-cycles, obtain the average blood pressure values corresponding to each blood pressure monitoring sub-cycle respectively, and compare the values of the obtained multiple average blood pressure values. Mark the average blood pressure value with the largest value as the peak value of the period blood pressure index, and mark the average blood pressure value with the smallest value as the valley value of the period blood pressure index.

[0085] Marking a plurality of blood pressure index subintervals within a numerical range between a trough value of a periodic blood pressure index and a peak value of a periodic blood pressure index, and marking the marked plurality of blood pressure index subintervals as X1 blood pressure index subinterval to Xc blood pressure index subinterval;

[0086] Obtain the intermediate values of the blood pressure indicators corresponding to the X1 blood pressure indicator subinterval to the Xc blood pressure indicator subinterval, respectively, to obtain the intermediate values of the blood pressure indicators in the X1 interval to the Xc interval;

[0087] The average blood pressure value corresponding to each blood pressure monitoring sub-cycle is interval-matched with the X1 blood pressure index sub-interval to the Xc blood pressure index sub-interval, and the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X1 blood pressure index sub-interval is accumulated to obtain the X1 blood pressure interval duration value. The cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X2 blood pressure index sub-interval is accumulated to obtain the X2 blood pressure interval duration value. Similarly, the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the Xc blood pressure index sub-interval is accumulated to obtain the Xc blood pressure interval duration value.

[0088] Obtain the duration of the psychological indicator monitoring cycle to obtain the duration of the psychological indicator monitoring cycle;

[0089] The corresponding periodic blood pressure index monitoring value of cancer patients is obtained by calculating the blood pressure index median value of the X1 interval to the blood pressure index median value of the Xc interval, the blood pressure interval duration value of the X1 interval to the blood pressure interval duration value of the Xc interval, and the psychological index monitoring cycle duration;

[0090] The corresponding periodic blood pressure index monitoring values of cancer patients are calculated using the following formula:

[0091]

[0092] Among them, Xqz is the monitoring value of the periodic blood pressure index, Xzi is the middle value of the blood pressure index in the Xi interval, Xci is the duration value of the Xi blood pressure interval, Xsc is the duration of the psychological index monitoring cycle, and c is the quantity value corresponding to the blood pressure index subinterval;

[0093] Step S3: guiding treatment for cancer patients based on the myoelectricity index monitoring index value and the periodic blood pressure index monitoring value;

[0094] The step S3 further includes the following specific steps:

[0095] Obtain the myoelectricity index monitoring index value and the periodic blood pressure index monitoring index value respectively;

[0096] Obtaining a reference interval of an electromyographic index monitoring indicator value; if the electromyographic index monitoring indicator value is within the electromyographic index monitoring indicator value interval, controlling the massage chair to start seat massage and begin massage treatment for the cancer patient; if the electromyographic index monitoring indicator value is not within the electromyographic index monitoring indicator value interval, controlling the massage chair to turn off seat massage and stop massage treatment for the cancer patient;

[0097] Obtain the reference interval of the cyclical blood pressure indicator monitoring value. If the cyclical blood pressure indicator monitoring value is within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn on the music therapy. If the cyclical blood pressure indicator monitoring value is not within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn off the music therapy.

[0098] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.

[0099] Example 2

[0100] See also Figure 2 , an AI-guided psychological massage chair personalized treatment method, based on another concept of the same invention, now proposes an AI-guided psychological massage chair personalized treatment system, including an electromyography monitoring module, a blood pressure monitoring module, a guided treatment module and a server, the electromyography monitoring module, the blood pressure monitoring module and the guided treatment module are respectively connected to the server, and the server controls the electromyography monitoring module, the blood pressure monitoring module and the guided treatment module respectively;

[0101] The electromyography monitoring module marks a physiological indicator monitoring cycle during the process of monitoring the physiological indicators of cancer patients, performs periodic integrated electromyography value monitoring on the cancer patients in the physiological indicator monitoring cycle, and obtains the electromyography monitoring index value corresponding to the physiological indicator monitoring cycle according to the monitoring results;

[0102] The details are as follows:

[0103] When the massage chair monitors the physiological indicators of cancer patients, the current time point is marked as the cycle end time point, the time point when the massage chair performs autonomous control is marked as the cycle start time point, and the time range between the cycle start time point and the cycle end time point is marked as the physiological indicator monitoring cycle;

[0104] It should be noted here that:

[0105] The autonomous regulation involved here specifically includes turning on and off the massage function, and the autonomous regulation time point involved here must be before the end time point of the cycle.

[0106] The limb area of the cancer patient in contact with the massage chair is obtained to obtain a massage contact area, which is divided into several massage monitoring sub-areas, and the divided massage monitoring sub-areas are marked as m1 massage monitoring sub-area to ma massage monitoring sub-area;

[0107] It should be noted here that:

[0108] In the present application, m referred to here is the sign symbol corresponding to the massage monitoring sub-area, a referred to here is the quantity value corresponding to the massage monitoring sub-area, and a is an integer greater than 0.

[0109] Perform periodic electromyographic index monitoring on the m1 massage monitoring sub-area in the physiological index monitoring cycle, and obtain the regional electromyographic index monitoring value corresponding to the m1 massage monitoring sub-area based on the monitoring results;

[0110] The details are as follows:

[0111] Divide the physiological index monitoring cycle into a number of continuous and equal-length electromyographic monitoring sub-cycles, and randomly select a sample electromyographic monitoring sub-cycle from the multiple electromyographic monitoring sub-cycles obtained;

[0112] It should be noted here that the myoelectric intensity involved here refers to the conductivity of the muscle electrical activity signal recorded by the myoelectric sensor, and the unit is microsiemens.

[0113] Randomly select several electromyographic monitoring time points within the sample electromyographic monitoring sub-cycle, obtain the electromyographic intensity value of the m1 massage monitoring sub-area at each electromyographic monitoring time point, obtain multiple electromyographic intensity values at each moment, and calculate the average value of the obtained multiple electromyographic intensity values to obtain the average electromyographic intensity value corresponding to the sample electromyographic monitoring sub-cycle;

[0114] Repeat the process of obtaining the average value of the myoelectric intensity corresponding to the sample myoelectric monitoring sub-cycle, obtain the average value of the myoelectric intensity corresponding to each myoelectric monitoring sub-cycle respectively, and compare the values of the multiple obtained myoelectric intensity average values, mark the myoelectric intensity average value with the largest value as the cycle myoelectric intensity peak value, and mark the myoelectric intensity average value with the smallest value as the cycle myoelectric intensity valley value;

[0115] Marking a plurality of myoelectric intensity subintervals within a numerical range between a trough value and a peak value of the cycle myoelectric intensity, and marking the marked plurality of myoelectric intensity subintervals as J1 myoelectric intensity subinterval to Jb myoelectric intensity subinterval;

[0116] It should be noted here that:

[0117] In the present application, J mentioned here is the sign symbol corresponding to the myoelectric strength sub-interval, and b mentioned here is the numerical value corresponding to the myoelectric strength sub-interval.

[0118] Obtain the intermediate values of the myoelectric intensity of the intervals corresponding to the J1 myoelectric intensity sub-interval to the Jb myoelectric intensity sub-interval respectively, and obtain the intermediate value of the myoelectric intensity of the J1 interval to the intermediate value of the myoelectric intensity of the Jb interval;

[0119] The average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle is interval-matched with the J1 electromyographic intensity sub-interval to the Jb electromyographic intensity sub-interval, and the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J1 electromyographic intensity sub-interval is accumulated to obtain the J1 electromyographic interval duration value; the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the J2 electromyographic intensity sub-interval is accumulated to obtain the J2 electromyographic interval duration value; and so on, the cycle duration of the electromyographic monitoring sub-cycle whose average electromyographic intensity is in the Jb electromyographic intensity sub-interval is accumulated to obtain the Jb electromyographic interval duration value;

[0120] Acquiring the duration of the physiological indicator monitoring cycle to obtain the duration of the physiological indicator monitoring cycle;

[0121] The electromyographic index monitoring value of the area corresponding to the m1 massage monitoring sub-area is obtained by calculating the electromyographic index monitoring value of the area from the middle value of the electromyographic intensity of the J1 interval to the middle value of the electromyographic intensity of the Jb interval, the electromyographic interval duration value of the J1 interval to the electromyographic interval duration value of the Jb interval, and the duration of the physiological index monitoring cycle;

[0122] Calculate the regional electromyographic index monitoring value corresponding to the m1 massage monitoring sub-area. The specific formula is as follows:

[0123]

[0124] Among them, Jqz is the regional electromyographic index monitoring value, Qzi is the middle value of the electromyographic intensity of the Ji interval, Sci is the duration value of the Ji electromyographic interval, Zsc is the duration of the physiological index monitoring cycle, and b is the quantity value corresponding to the electromyographic intensity subinterval;

[0125] It should be noted here that:

[0126] In the present application, the middle value of the myoelectric intensity of the Ji interval involved here can be any middle value of the myoelectric intensity of the J1 interval to the middle value of the myoelectric intensity of the Jb interval, and the value of the myoelectric interval duration of the Ji interval involved here can be any value of the myoelectric interval duration of the J1 interval to the Jb interval duration;

[0127] In the specific implementation, there are the following test data:

[0128] If the physiological index monitoring cycle is 180s, the median value of the J1 interval EMG intensity is 25μS, the J1 EMG interval duration is 20s, the median value of the J2 interval EMG intensity is 30μS, the J2 EMG interval duration is 50s, the median value of the J3 interval EMG intensity is 35μS, the J3 EMG interval duration is 60s, the median value of the J4 interval EMG intensity is 40μS, and the J4 EMG interval duration is 50s, then the regional EMG index monitoring value can be calculated to be 8.45.

[0129] Repeat the process of obtaining the regional electromyographic index monitoring value corresponding to the m1 massage monitoring sub-region, and obtain the regional electromyographic index monitoring values corresponding to the m2 massage monitoring sub-region to the ma massage monitoring sub-region respectively, to obtain multiple regional electromyographic index monitoring values, and perform numerical comparison on the obtained multiple regional electromyographic index monitoring values, and mark the regional electromyographic index monitoring value with the largest value as the electromyographic index monitoring index value;

[0130] The electromyography monitoring module obtains the electromyography monitoring index value and transmits it to the guided treatment module;

[0131] The blood pressure monitoring module marks a psychological indicator monitoring period during the process of monitoring the psychological indicators of cancer patients, performs periodic blood pressure indicator monitoring on cancer patients in the psychological indicator monitoring period, and obtains the periodic blood pressure indicator monitoring value corresponding to the psychological indicator monitoring period based on the monitoring results;

[0132] The details are as follows:

[0133] When the massage chair monitors the psychological indicators of cancer patients, the current time point is marked as the cycle end time point, the time point when the massage chair performs autonomous control is marked as the cycle start time point, and the time range between the cycle start time point and the cycle end time point is marked as the psychological indicator monitoring cycle;

[0134] It should be noted here that:

[0135] The autonomous control involved here specifically includes turning on the music function and turning off the music function. The autonomous control time point involved here must be before the end time point of the cycle.

[0136] Perform periodic blood pressure index monitoring on cancer patients who are in the psychological index monitoring period, and obtain periodic blood pressure index monitoring values based on the monitoring results;

[0137] The details are as follows:

[0138] Divide the psychological index monitoring period into a number of continuous and equal-length blood pressure monitoring sub-periods, and randomly select a sample blood pressure monitoring sub-period from the multiple blood pressure monitoring sub-periods obtained;

[0139] Randomly select a number of blood pressure monitoring time points within the sample blood pressure monitoring sub-cycle, obtain the blood pressure monitoring value of the cancer patient at each blood pressure monitoring time point, obtain multiple blood pressure monitoring values at each time point, and calculate the average value of the multiple blood pressure values obtained to obtain the blood pressure average value corresponding to the sample blood pressure monitoring sub-cycle;

[0140] It should be noted here that:

[0141] In this application, the blood pressure monitoring value at the moment involved here is specifically the average value of the diastolic blood pressure and the systolic blood pressure;

[0142] Repeat the process of obtaining the average blood pressure values corresponding to the sample blood pressure monitoring sub-cycles, obtain the average blood pressure values corresponding to each blood pressure monitoring sub-cycle respectively, and compare the values of the obtained multiple average blood pressure values. Mark the average blood pressure value with the largest value as the peak value of the period blood pressure index, and mark the average blood pressure value with the smallest value as the valley value of the period blood pressure index.

[0143] Marking a plurality of blood pressure index subintervals within a numerical range between a trough value of a periodic blood pressure index and a peak value of a periodic blood pressure index, and marking the marked plurality of blood pressure index subintervals as X1 blood pressure index subinterval to Xc blood pressure index subinterval;

[0144] It should be noted here that:

[0145] In the present application, X mentioned here is the sign symbol corresponding to the blood pressure index sub-interval, and c mentioned here is the quantitative value corresponding to the blood pressure index sub-interval.

[0146] Obtain the intermediate values of the blood pressure indicators corresponding to the X1 blood pressure indicator subinterval to the Xc blood pressure indicator subinterval, respectively, to obtain the intermediate values of the blood pressure indicators in the X1 interval to the Xc interval;

[0147] The average blood pressure value corresponding to each blood pressure monitoring sub-cycle is interval-matched with the X1 blood pressure index sub-interval to the Xc blood pressure index sub-interval, and the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X1 blood pressure index sub-interval is accumulated to obtain the X1 blood pressure interval duration value. The cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X2 blood pressure index sub-interval is accumulated to obtain the X2 blood pressure interval duration value. Similarly, the cycle duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the Xc blood pressure index sub-interval is accumulated to obtain the Xc blood pressure interval duration value.

[0148] Obtain the duration of the psychological indicator monitoring cycle to obtain the duration of the psychological indicator monitoring cycle;

[0149] The corresponding periodic blood pressure index monitoring value of cancer patients is obtained by calculating the blood pressure index median value of the X1 interval to the blood pressure index median value of the Xc interval, the blood pressure interval duration value of the X1 interval to the blood pressure interval duration value of the Xc interval, and the psychological index monitoring cycle duration;

[0150] The corresponding periodic blood pressure index monitoring values of cancer patients are calculated using the following formula:

[0151]

[0152] Among them, Xqz is the monitoring value of the periodic blood pressure index, Xzi is the middle value of the blood pressure index in the Xi interval, Xci is the duration value of the Xi blood pressure interval, Xsc is the duration of the psychological index monitoring cycle, and c is the quantity value corresponding to the blood pressure index subinterval;

[0153] It should be noted here that:

[0154] In the present application, the middle value of the Xi interval blood pressure index involved here can be any middle value of the interval blood pressure index from the middle value of the X1 interval blood pressure index to the middle value of the Xc interval blood pressure index, and the Xi blood pressure interval duration value involved here can be any blood pressure interval duration value from the X1 blood pressure interval duration value to the Xc blood pressure interval duration value;

[0155] In the specific implementation, there are the following test data:

[0156] If the psychological index monitoring cycle is 120s, the median value of the blood pressure index in the X1 interval is 55mmHg, the value of the X1 blood pressure interval duration is 20s, the median value of the blood pressure index in the X2 interval is 60mmHg, the value of the X2 blood pressure interval duration is 50s, the median value of the blood pressure index in the X3 interval is 65mmHg, and the value of the X3 blood pressure interval duration is 50s, then the periodic blood pressure index monitoring value can be calculated to be 20.36.

[0157] The blood pressure monitoring module obtains the periodic blood pressure index monitoring values and transmits them to the guided treatment module;

[0158] The guided treatment module guides the treatment of cancer patients based on the values of myoelectric indicators and periodic blood pressure indicators;

[0159] The details are as follows:

[0160] Obtain the myoelectricity index monitoring index value and the periodic blood pressure index monitoring index value respectively;

[0161] Obtaining a reference interval of an electromyographic index monitoring indicator value; if the electromyographic index monitoring indicator value is within the electromyographic index monitoring indicator value interval, controlling the massage chair to start seat massage and begin massage treatment for the cancer patient; if the electromyographic index monitoring indicator value is not within the electromyographic index monitoring indicator value interval, controlling the massage chair to turn off seat massage and stop massage treatment for the cancer patient;

[0162] It should be noted here that:

[0163] The reference interval of the electromyographic index monitoring index value is obtained as follows:

[0164] Select several historical cancer patients who are in a massage treatment state, obtain the myoelectric index monitoring index value corresponding to each historical cancer patient, calculate the average value of the obtained myoelectric index monitoring index value to obtain a first myoelectric interval index value, calculate the standard deviation of the obtained multiple myoelectric index monitoring index values to obtain a second myoelectric interval index value, calculate the sum of the first myoelectric interval index value and the second myoelectric interval index value to obtain an upper limit of the myoelectric index monitoring index value reference interval, calculate the difference between the first myoelectric interval index value and the second myoelectric interval index value to obtain a lower limit of the myoelectric index monitoring index value reference interval, and mark the numerical range between the upper limit of the myoelectric index monitoring index value reference interval and the lower limit of the myoelectric index monitoring index value reference interval as the myoelectric index monitoring index value reference interval;

[0165] The massage therapy involved here includes the boundaries of the benchmark interval of the electromyographic index monitoring index value.

[0166] Obtain a reference interval of a cyclical blood pressure indicator monitoring value. If the cyclical blood pressure indicator monitoring value is within the cyclical blood pressure indicator monitoring value interval, control the massage chair to start music therapy. If the cyclical blood pressure indicator monitoring value is not within the cyclical blood pressure indicator monitoring value interval, control the massage chair to stop music therapy.

[0167] It should be noted here that:

[0168] The reference interval of the periodic blood pressure index monitoring value is obtained as follows:

[0169] Selecting several historical cancer patients who are in a massage treatment state, obtaining the periodic blood pressure index monitoring value corresponding to each historical cancer patient, calculating the average value of the obtained periodic blood pressure index monitoring value to obtain a first blood pressure interval index value, calculating the standard deviation of the obtained multiple periodic blood pressure index monitoring values to obtain a second blood pressure interval index value, calculating the sum of the first blood pressure interval index value and the second blood pressure interval index value to obtain an upper limit of a periodic blood pressure index monitoring value benchmark interval, calculating the difference between the first blood pressure interval index value and the second blood pressure interval index value to obtain a lower limit of a periodic blood pressure index monitoring value benchmark interval, and marking the value range between the upper limit of the periodic blood pressure index monitoring value benchmark interval and the lower limit of the periodic blood pressure index monitoring value benchmark interval as the periodic blood pressure index monitoring value benchmark interval;

[0170] The music therapy involved here includes periodic blood pressure index monitoring numerical baseline interval boundaries;

[0171] In this application, an AI voice assistant can be provided to interact with cancer patients through language, and cancer patients can input the type of music or music tracks they want to listen to.

[0172] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An AI-guided psychological massage chair personalized treatment method, characterized in that: include: Step S1: in the process of monitoring the physiological indicators of cancer patients, marking a physiological indicator monitoring period, performing periodic integrated myoelectric value monitoring on the cancer patients in the physiological indicator monitoring period, and obtaining the myoelectric indicator monitoring index value according to the monitoring result; Step S2: During the process of monitoring the psychological indicators of the cancer patient, a psychological indicator monitoring period is marked, and periodic blood pressure indicator monitoring is performed on the cancer patient during the psychological indicator monitoring period, and a periodic blood pressure indicator monitoring value is obtained according to the monitoring result; Step S3: guiding treatment for cancer patients based on the myoelectricity index monitoring index value and the periodic blood pressure index monitoring value.

2. The AI-guided psychological massage chair personalized treatment method according to claim 1 is characterized in that: The step S1 further includes the following specific steps: Step S11: The massage chair marks a physiological indicator monitoring cycle during the process of monitoring the physiological indicators of the cancer patient; Step S12: Acquire the limb area of the cancer patient in contact with the massage chair to obtain a massage contact area, divide the massage contact area into a plurality of massage monitoring sub-areas, and mark the divided massage monitoring sub-areas as m1 massage monitoring sub-area to ma massage monitoring sub-area; Step S13: performing periodic myoelectric index monitoring on the m1 massage monitoring sub-region in the physiological index monitoring period, and obtaining the regional myoelectric index monitoring value corresponding to the m1 massage monitoring sub-region according to the monitoring result; Step S14: respectively obtain the regional electromyographic index monitoring values corresponding to the m2 massage monitoring sub-area to the ma massage monitoring sub-area, obtain multiple regional electromyographic index monitoring values, and perform numerical comparison on the multiple regional electromyographic index monitoring values obtained, and mark the regional electromyographic index monitoring value with the largest value as the electromyographic index monitoring index value.

3. The AI-guided psychological massage chair personalized treatment method according to claim 2 is characterized in that: The step S13 further includes the following specific steps: Divide the physiological index monitoring cycle into a number of continuous and equal-length electromyographic monitoring sub-cycles, and randomly select a sample electromyographic monitoring sub-cycle from the multiple electromyographic monitoring sub-cycles obtained; Randomly select several electromyographic monitoring time points within the sample electromyographic monitoring sub-cycle, obtain the electromyographic intensity value of the m1 massage monitoring sub-area at each electromyographic monitoring time point, obtain multiple electromyographic intensity values at each moment, and calculate the average value of the obtained multiple electromyographic intensity values to obtain the average electromyographic intensity value corresponding to the sample electromyographic monitoring sub-cycle; Repeat the process of obtaining the average value of the electromyographic intensity corresponding to the sample electromyographic monitoring sub-cycle, obtain the average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle respectively, and compare the numerical values of the multiple electromyographic intensity average values obtained, mark the electromyographic intensity average value with the largest value as the cycle electromyographic intensity peak value, and mark the electromyographic intensity average value with the smallest value as the cycle electromyographic intensity valley value.

4. The AI-guided psychological massage chair personalized treatment method according to claim 3 is characterized in that: The step S13 further includes the following specific steps: Marking a plurality of myoelectric intensity subintervals within a numerical range between a trough value and a peak value of the cycle myoelectric intensity, and marking the marked plurality of myoelectric intensity subintervals as J1 myoelectric intensity subinterval to Jb myoelectric intensity subinterval; Obtain the intermediate values of the myoelectric intensity of the intervals corresponding to the J1 myoelectric intensity sub-interval to the Jb myoelectric intensity sub-interval respectively, and obtain the intermediate value of the myoelectric intensity of the J1 interval to the intermediate value of the myoelectric intensity of the Jb interval; Match the average value of the electromyographic intensity corresponding to each electromyographic monitoring sub-cycle with the J1 electromyographic intensity sub-interval to the Jb electromyographic intensity sub-interval, and add the cycle lengths of the electromyographic monitoring sub-cycles whose average electromyographic intensity is in the J1 electromyographic intensity sub-interval to obtain the J1 electromyographic interval duration value. Similarly, add the cycle lengths of the electromyographic monitoring sub-cycles whose average electromyographic intensity is in the Jb electromyographic intensity sub-interval to obtain the Jb electromyographic interval duration value. The duration of the physiological indicator monitoring cycle is acquired to obtain the duration of the physiological indicator monitoring cycle.

5. The AI-guided psychological massage chair personalized treatment method according to claim 4 is characterized in that: The step S13 further includes the following specific steps: The electromyographic index monitoring value of the area corresponding to the m1 massage monitoring sub-area is obtained by calculating the electromyographic index monitoring value of the area from the middle value of the electromyographic intensity of the J1 interval to the middle value of the electromyographic intensity of the Jb interval, the electromyographic interval duration value of the J1 interval to the electromyographic interval duration value of the Jb interval, and the duration of the physiological index monitoring cycle; Calculate the regional electromyographic index monitoring values corresponding to the m1 massage monitoring sub-area.

6. The AI-guided psychological massage chair personalized treatment method according to claim 1 is characterized in that: The step S2 further includes the following specific steps: Step S21: The massage chair marks a psychological indicator monitoring cycle during the process of monitoring the psychological indicators of the cancer patient; Step S22: performing periodic blood pressure index monitoring on the cancer patient who is in the psychological index monitoring period, and obtaining the periodic blood pressure index monitoring value according to the monitoring result.

7. The AI-guided psychological massage chair personalized treatment method according to claim 6, characterized in that: The step S22 further includes the following specific steps: Divide the psychological index monitoring period into a number of continuous and equal-length blood pressure monitoring sub-periods, and randomly select a sample blood pressure monitoring sub-period from the multiple blood pressure monitoring sub-periods obtained; Randomly select a number of blood pressure monitoring time points within the sample blood pressure monitoring sub-cycle, obtain the blood pressure monitoring value of the cancer patient at each blood pressure monitoring time point, obtain multiple blood pressure monitoring values at each time point, and calculate the average value of the multiple blood pressure values obtained to obtain the blood pressure average value corresponding to the sample blood pressure monitoring sub-cycle; The average blood pressure value corresponding to each blood pressure monitoring sub-cycle is obtained respectively, and the numerical values of the multiple blood pressure average values obtained are compared. The blood pressure average value with the largest value is marked as the peak value of the cycle blood pressure indicator, and the blood pressure average value with the smallest value is marked as the valley value of the cycle blood pressure indicator.

8. The AI-guided psychological massage chair personalized treatment method according to claim 7, characterized in that: The step S22 further includes the following specific steps: Marking a plurality of blood pressure index subintervals within a numerical range between a trough value of a periodic blood pressure index and a peak value of a periodic blood pressure index, and marking the marked plurality of blood pressure index subintervals as X1 blood pressure index subinterval to Xc blood pressure index subinterval; Obtain the intermediate values of the blood pressure indicators corresponding to the X1 blood pressure indicator subinterval to the Xc blood pressure indicator subinterval, respectively, to obtain the intermediate values of the blood pressure indicators in the X1 interval to the Xc interval; Match the average blood pressure value corresponding to each blood pressure monitoring sub-cycle with the X1 blood pressure index sub-interval to the Xc blood pressure index sub-interval, and accumulate the duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the X1 blood pressure index sub-interval to obtain the X1 blood pressure interval duration value. Similarly, accumulate the duration of the blood pressure monitoring sub-cycles in which the average blood pressure value is in the Xc blood pressure index sub-interval to obtain the Xc blood pressure interval duration value; Obtain the duration of the psychological indicator monitoring cycle to obtain the duration of the psychological indicator monitoring cycle; The corresponding periodic blood pressure index monitoring value of cancer patients is obtained by calculating the blood pressure index median value of the X1 interval to the blood pressure index median value of the Xc interval, the blood pressure interval duration value of the X1 interval to the blood pressure interval duration value of the Xc interval, and the psychological index monitoring cycle duration; Calculate the periodic blood pressure index monitoring values corresponding to cancer patients.

9. The AI-guided psychological massage chair personalized treatment method according to claim 1, characterized in that: The step S3 further includes the following specific steps: Obtain the myoelectricity index monitoring index value and the periodic blood pressure index monitoring index value respectively; Obtaining a reference interval of an electromyographic index monitoring indicator value; if the electromyographic index monitoring indicator value is within the electromyographic index monitoring indicator value interval, controlling the massage chair to start seat massage and begin massage treatment for the cancer patient; if the electromyographic index monitoring indicator value is not within the electromyographic index monitoring indicator value interval, controlling the massage chair to turn off seat massage and stop massage treatment for the cancer patient; Obtain the reference interval of the cyclical blood pressure indicator monitoring value. If the cyclical blood pressure indicator monitoring value is within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn on the music therapy. If the cyclical blood pressure indicator monitoring value is not within the cyclical blood pressure indicator monitoring value interval, control the massage chair to turn off the music therapy.

10. An AI-guided psychological massage chair personalized treatment system, applicable to the AI-guided psychological massage chair personalized treatment method according to any one of claims 1 to 9, characterized in that: The treatment system comprises: Myoelectric monitoring module: In the process of monitoring the physiological indicators of cancer patients, a physiological indicator monitoring cycle is marked, and periodic integrated myoelectric value monitoring is performed on the cancer patients in the physiological indicator monitoring cycle, and the myoelectric indicator monitoring index value is obtained according to the monitoring results; Blood pressure monitoring module: In the process of measuring the psychological indicators of cancer patients, a psychological indicator monitoring cycle is marked, and periodic blood pressure indicator monitoring is performed on cancer patients in the psychological indicator monitoring cycle, and the periodic blood pressure indicator monitoring value is obtained according to the monitoring results; Guided treatment module: guides treatment for cancer patients based on the myoelectric index monitoring values and periodic blood pressure index monitoring values.

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