Electrical stimulation acupoint physiotherapy massage device for cancer patient

Abstract

The invention provides an electrical stimulation acupoint physiotherapy massage device for cancer patients, which comprises a glove, a foot sleeve, an electrode plate 1 and an electrical stimulation system 2, the electrode plate 1 and the electrical stimulation system 2 are arranged on the glove and the foot sleeve, the electrical stimulation system 2 comprises a signal generator and a communication module, and the device further comprises a mobile phone end control calculation table connected with the communication module. The communication module receives a control instruction from the mobile phone end control computing table and transmits the control instruction to the signal generator; and the mobile phone end control calculation table is provided with an illness state evaluation and analysis module, a physiotherapy scheme making module and a user interface and operation module. The personalized physical therapy device can better adapt to individual differences and disease changes of different patients, and the pertinence and effectiveness of the physical therapy effect are improved.

Description

Technical Field

[0001] The invention belongs to the field of biomedical equipment, and in particular relates to a living facility for cancer patients. Background Art

[0002] Cancer patients often suffer from sleep disorders, digestive disorders (such as constipation, loss of appetite), edema, pain, cough and other symptoms during the course of the disease, which seriously affect their quality of life and physical and mental health. Traditional physical therapy methods may have certain limitations in alleviating these symptoms and may be accompanied by side effects or discomfort. Acupoint stimulation, as a traditional Chinese medicine therapy, has certain potential in regulating human physiological functions. However, existing acupoint stimulation devices often have single functions and lack comprehensive design and personalized physical therapy programs for the specific needs of cancer patients.

[0003] For example, Chinese patent CN113693913A discloses a self-adaptive electrical stimulation and electromagnetic drive neck physiotherapy instrument based on smart phone control, including power supply part, heating part, main control chip part, mobile phone APP control part, vibrator head knocking part, electrical stimulation part and physical key part, the power supply part is powered by the heating part, main control chip part, vibrator head knocking part, electrical stimulation part and physical key part, the heating part, main control chip part, vibrator head knocking part, electrical stimulation part and physical key part are integrated together, the mobile phone APP control part is bidirectionally wirelessly connected with the main control chip part, the main control chip part is respectively connected with the heating part, the vibrator head knocking part and the electrical stimulation part, and the physical key part is connected with the main control chip. This patent can realize the electrical stimulation physiotherapy of the vibrator head at acupuncture points such as cervical vertebra (Fengchi acupoint, Tianzhu acupoint, Dazhu acupoint), but it is not possible to formulate a personalized physiotherapy plan according to the specific conditions of a specific patient, and the physiotherapy effect is limited. Summary of the invention

[0004] The condition assessment and analysis module and the physical therapy program formulation module of the mobile phone terminal control computing station of the present invention can formulate an electric pulse acupoint stimulation program according to the relevant symptom information of the patient, and realize a personalized electric stimulation treatment program. Based on this, the present invention is completed.

[0005] In the first aspect, the present invention provides an electrical stimulation acupoint therapy massage device for cancer patients, comprising gloves, foot covers, electrode sheets 1 arranged on the gloves and foot covers, and an electrical stimulation system 2, wherein the electrical stimulation system 2 comprises a signal generator and a communication module, and the device also comprises a mobile phone control and computing station connected to the communication module, the communication module receives control instructions from the mobile phone control and computing station and transmits them to the signal generator; the mobile phone control and computing station is provided with a condition assessment and analysis module, a therapy plan formulation module and a user interface and operation module; the condition assessment and analysis module analyzes the relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) of the patient and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) input by the patient or the nursing staff on the platform, using the built-in algorithm and database to analyze the information, and assess the symptom risk and the stage of disease progression; the therapy plan formulation module selects a suitable combination of electrical stimulation acupoints, intensity and duration plans from the pre-stored therapy plan library based on the condition assessment results, and sends the plan to the communication module.

[0006] Furthermore, the symptom risk assessment is performed using the following method:

[0007] Step 1) Fill out the symptom information questionnaire based on the patient's actual situation, involving multiple symptoms (sleep, defecation, appetite, edema, pain, cough, etc.). The quantitative score corresponding to each symptom is shown in the following table:

[0008]

[0009]

[0010] Step 2): Based on the quantitative score obtained in step 1), the quantitative score of each symptom is converted into a risk assessment result according to the risk assessment calculation formula in the table below. The risk assessment results are divided into three levels: low risk, medium risk, and high risk. For example, Rs<0.3 is low risk, 0.3≤Rs<0.7 is medium risk, and Rs≥0.7 is high risk.

[0011]

[0012]

[0013] Furthermore, the disease progression stage assessment is performed using the following method:

[0014] Step 1) Basic information encoding

[0015] Basic information 1: According to the patient's gender, age, height, and weight, obtain the corresponding code J1-J6;

[0016] Basic information 2: underlying disease, cancer diagnosis time, treatment history, and corresponding codes C1-C8;

[0017] Basic information 3: According to the patient's tongue coating, obtain the corresponding code T1-T7;

[0018] Cancer type: Create a cancer type coding dictionary and encode different cancer types as L, for example, lung cancer is encoded as L1, gastric cancer is encoded as L2, breast cancer is encoded as L3, etc.

[0019] Disease stage: According to the cancer stage, whether there is metastasis (proximal metastasis, distant metastasis), the patient's stage I to IV is determined, and the corresponding codes B1, B2, B3, B4 are obtained;

[0020] Treatment stage: select according to actual situation, clarify the patient's treatment stage, chemotherapy, radiotherapy, targeted physical therapy, immunotherapy, surgery, treatment interval stage, rehabilitation stage, palliative care stage, and obtain the corresponding code Z1-Z15;

[0021] Each of the above corresponding codes has its own corresponding basic information variable value;

[0022] Step 2), calculation of comprehensive disease index

[0023] Taking into account the symptom quantitative score, symptom duration, change trend and basic information, a disease assessment index system is constructed to obtain a composite disease index (CDI), which can be calculated as follows:

[0024]

[0025] Among them, Si represents the risk assessment result of the i-th symptom, and wi is its corresponding weight; Bj represents the j-th basic information variable (referring to basic information, cancer type code, disease stage code, treatment stage code, etc.), and vj is its weight; T represents the comprehensive evaluation value of symptom duration (obtained by weighted summation of the duration of each symptom or other statistical methods), and k is its weight; M represents the comprehensive evaluation value of symptom change trend (obtained by calculating the average change slope of multiple symptom quantification values), and p is its weight;

[0026] Step 3) Evaluation of disease progression

[0027] CDI is divided into different intervals, each of which corresponds to a stage of disease progression, including mild progression (CDI<30), moderate progression (30≤CDI<60), and severe progression (CDI≥60).

[0028] Furthermore, an acupoint selection database is established to determine acupoint combinations associated with different symptoms and conditions, and each acupoint combination corresponds to one or more conditions and symptom types.

[0029] Furthermore, the physical therapy program formulation module determines the electric pulse intensity according to the established model based on linear regression or decision tree, and the relationship between the electric pulse intensity I (in milliamperes, mA) and the comprehensive disease assessment index CDI, age A, BMI index B and pain tolerance T is:

[0030] I=b0+b1CDI+b2A+b3B+b4T p

[0031] Among them, b0-b4 are coefficients obtained by regression analysis of a large amount of clinical data, and the b0 value is a coefficient set according to the patient's skin condition.

[0032] Furthermore, a basic range of duration for electrical pulse stimulation can be determined based on the duration and changing trend of symptoms, and then adjusted based on the stage of disease progression.

[0033] Furthermore, the user interface and operation module facilitate operation by patients or caregivers. The interface displays information such as the patient's basic information, disease assessment results, current physical therapy plan, and device connection status. Users can fine-tune the physical therapy plan (such as adjusting the intensity of electrical stimulation within the recommended range), start or stop physical therapy, and view physical therapy history records and effect feedback through controls such as buttons or sliders on the interface.

[0034] Furthermore, the mobile phone-controlled computing station is also provided with a data management and analysis module, through which the detailed data of each physical therapy of the patient can be recorded, including electrical stimulation parameters, physical therapy time, improvement of patient symptoms, etc., these data can be analyzed and counted, and physical therapy reports and trend charts can be generated to help patients and doctors understand the dynamic changes of physical therapy effects. At the same time, through the accumulation and analysis of a large amount of patient data, the disease assessment algorithm and physical therapy plan library are continuously optimized.

[0035] Furthermore, a plurality of electrode sheets 1 are installed on the gloves and foot covers, and the electrode sheets 1 are arranged at acupuncture points related to improving sleep, promoting defecation, improving appetite, relieving edema, pain, and coughing.

[0036] Furthermore, the gloves and foot covers are also provided with fixing devices 3, and the fixing devices 3 can be fixed in an adjustable hook and loop fastener or elastic bandage or the like.

[0037] Furthermore, the safety protection mechanism has built-in safety devices such as overcurrent protection and short-circuit protection.

[0038] In a second aspect, the present invention provides a method for using the electrical stimulation acupoint therapy massage device for cancer patients as described in the first aspect, and the specific method is as follows:

[0039] 1) Put gloves and foot covers on the patient's hands and feet respectively;

[0040] 2) Input the patient's relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) on the mobile phone control computing console;

[0041] 3) The disease assessment and analysis module uses built-in algorithms and databases to analyze the input information and assess the symptom risk and disease progression stage;

[0042] 4) The physical therapy program formulation module selects appropriate electrical stimulation acupoint combination, intensity and duration from the pre-stored physical therapy program library based on the condition assessment results, and sends the program to the communication module;

[0043] 5) The communication module receives the therapy plan and sends it to the signal generator. The signal generator generates an electrical stimulation signal of a certain frequency, intensity and waveform according to the therapy plan, and sends it to the electrode sheet for electrical stimulation acupoint massage;

[0044] 6) Patients can use their mobile phones to manipulate buttons or sliders on the computer interface to fine-tune therapy plans (such as adjusting the intensity of electrical stimulation within the recommended range), start or stop therapy, and view therapy history and effect feedback.

[0045] In a third aspect, the present invention provides a system for formulating a therapy plan for electrical acupoint stimulation for cancer patients, comprising a condition assessment and analysis module and a therapy plan formulation module; the condition assessment and analysis module analyzes the relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) of the patient input by the patient or the caregiver on the platform, using built-in algorithms and databases to analyze the information, and evaluate the symptom risk situation and the stage of disease progression; the therapy plan formulation module selects a suitable combination of electrical stimulation acupoints, intensity and duration plans from a pre-stored therapy plan library based on the condition assessment results.

[0046] Furthermore, the symptom risk assessment is performed using the following method:

[0047] Step 1) Fill out the symptom information questionnaire based on the patient's actual situation, involving multiple symptoms (sleep, defecation, appetite, edema, pain, cough, etc.). The quantitative score corresponding to each symptom is shown in the following table:

[0048]

[0049]

[0050] Step 2): Based on the quantitative score obtained in step 1), the quantitative score of each symptom is converted into a risk assessment result according to the risk assessment calculation formula in the table below. The risk assessment results are divided into three levels: low risk, medium risk, and high risk. For example, Rs<0.3 is low risk, 0.3≤Rs<0.7 is medium risk, and Rs≥0.7 is high risk.

[0051]

[0052]

[0053] Furthermore, the disease progression stage assessment is performed using the following method:

[0054] Step 1) Basic information encoding

[0055] Basic information 1: According to the patient's gender, age, height, and weight, obtain the corresponding code J1-J6;

[0056] Basic information 2: underlying disease, cancer diagnosis time, treatment history, and corresponding codes C1-C8;

[0057] Basic information 3: According to the patient's tongue coating, obtain the corresponding code T1-T7;

[0058] Cancer type: Create a cancer type coding dictionary and encode different cancer types as L, for example, lung cancer is encoded as L1, gastric cancer is encoded as L2, breast cancer is encoded as L3, etc.

[0059] Disease stage: According to the cancer stage, whether there is metastasis (proximal metastasis, distant metastasis), the patient's stage I to IV is determined, and the corresponding codes B1, B2, B3, B4 are obtained;

[0060] Treatment stage: select according to actual situation, clarify the patient's treatment stage, chemotherapy, radiotherapy, targeted physical therapy, immunotherapy, surgery, treatment interval stage, rehabilitation stage, palliative care stage, and obtain the corresponding code Z1-Z15;

[0061] Each of the above corresponding codes has its own corresponding basic information variable value;

[0062] Step 2), calculation of comprehensive disease index

[0063] Taking into account the symptom quantitative score, symptom duration, change trend and basic information, a disease assessment index system is constructed to obtain a composite disease index (CDI), which can be calculated as follows:

[0064]

[0065] Among them, Si represents the risk assessment result of the i-th symptom, and wi is its corresponding weight; Bj represents the j-th basic information variable (referring to basic information, cancer type code, disease stage code, treatment stage code, etc.), and vj is its weight; T represents the comprehensive evaluation value of symptom duration (obtained by weighted summation of the duration of each symptom or other statistical methods), and k is its weight; M represents the comprehensive evaluation value of symptom change trend (obtained by calculating the average change slope of multiple symptom quantification values), and p is its weight;

[0066] Step 3) Evaluation of disease progression

[0067] CDI is divided into different intervals, each of which corresponds to a stage of disease progression, including mild progression (CDI<30), moderate progression (30≤CDI<60), and severe progression (CDI≥60).

[0068] Furthermore, an acupoint selection database is established to determine acupoint combinations associated with different symptoms and conditions, and each acupoint combination corresponds to one or more conditions and symptom types.

[0069] Furthermore, the physical therapy program formulation module determines the electric pulse intensity according to the established model based on linear regression or decision tree, and the relationship between the electric pulse intensity I (in milliamperes, mA) and the comprehensive disease assessment index CDI, age A, BMI index B and pain tolerance T is:

[0070] I=b0+b1CDI+b2A+b3B+b4T p

[0071] Among them, b0-b4 are coefficients obtained by regression analysis of a large amount of clinical data, and the b0 value is a coefficient set according to the patient's skin condition.

[0072] Going further, a basic range of duration for electrical pulse stimulation is determined based on the duration and changing trend of symptoms, and then adjusted based on the stage of disease progression.

[0073] Beneficial Effects

[0074] 1. The present invention uses electrodes on gloves and foot covers to electrically stimulate multiple acupuncture points related to sleep, digestion, edema, pain, breathing, etc., which can comprehensively prevent or alleviate various symptoms of cancer patients and improve the quality of life of patients. Compared with single symptom physiotherapy methods, it has a more comprehensive and systematic physiotherapy effect, which can relieve the patient's pain as a whole and enhance the patient's physical comfort and psychological state. At the same time, it improves the quality of care for patients' families and caregivers and relieves the pressure of care. The design of the equipment fully considers safety factors. Through built-in safety protection mechanisms and strict quality control, it ensures that the electrical stimulation signal is within a safe range and will not cause harm to the patient. At the same time, the soft and comfortable gloves and foot covers also reduce irritation and discomfort to the patient's skin, and improves the patient's acceptance and user experience.

[0075] 2. With the help of the mobile phone to control the computer's condition assessment and analysis functions, a personalized electrical stimulation therapy plan is formulated according to the patient's specific conditions to achieve precise therapy. This personalized therapy method can better adapt to the individual differences and changes in the condition of different patients, and improve the pertinence and effectiveness of the therapy effect. At the same time, as the patient's condition develops and feedback is given during the therapy process, the system can adjust the therapy plan in real time to provide patients with continuously optimized therapy services.

[0076] 3. Patients or caregivers can conveniently operate the device through the mobile phone application and perform physical therapy anytime and anywhere. The mobile phone interface is intuitive and clear, and the operation is simple and easy to understand. It is easy to use without professional medical knowledge. At the same time, the application can display the operating status and physical therapy parameters of the device in real time, which is convenient for users to monitor and adjust. In addition, patients can check the physical therapy history and effect feedback at any time to understand their own physical therapy progress and enhance their confidence and compliance with physical therapy.

[0077] 4. The large amount of patient physiotherapy data collected by the mobile terminal control computing platform provides valuable resources for further optimizing physiotherapy programs and conducting related research. Through the analysis and mining of these data, we can deeply understand the effects and rules of electrical stimulation acupoint physiotherapy in cancer patients, and provide a basis for improving equipment performance and perfecting physiotherapy methods. At the same time, these data will also help promote the combination of traditional Chinese medicine acupoint physiotherapy and modern technology, and promote the development of academic research and clinical practice in related fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 Schematic diagram of gloves and foot covers of the present invention;

[0079] Figure 2 It is a flow chart of the present invention.

[0080] Figure numerals: 1 - electrode sheet; 2 - electrical stimulation system; 3 - fixing device. DETAILED DESCRIPTION

[0081] The specific embodiments of the present invention are further described below. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in the embodiments described below can be combined with each other as long as they do not conflict with each other.

[0082] Example 1 An electrical stimulation acupoint massage device for cancer patients

[0083] An electric stimulation acupoint massage device for cancer patients comprises gloves, foot covers, electrode sheets 1 arranged on the gloves and foot covers, and an electric stimulation system 2, wherein the gloves and foot covers are provided with a plurality of electrode sheets 1, and the electrode sheets 1 are arranged at acupoint positions related to functions such as improving sleep, promoting defecation, improving appetite, relieving edema, pain, and coughing; the electric stimulation system 2 comprises a signal generator, a safety protection mechanism, and a communication module, the electrode sheets 1 are connected to the signal generator, and the signal generator can generate electric stimulation signals of various frequencies, intensities, and waveforms; the signal generator is connected to the communication module, and the device further comprises a mobile phone control and computing platform connected to the communication module, and the communication module receives control instructions from the mobile phone control and computing platform and transmits them to the signal generator.

[0084] In this embodiment, the mobile phone-controlled computing station is provided with a condition assessment and analysis module, a therapy plan formulation module, a user interface and operation module, and a data management and analysis module.

[0085] The patient or caregiver enters the patient's relevant symptom information (sleep, bowel movements, appetite, edema, pain, cough, etc.) and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) on the platform. The disease assessment and analysis module uses built-in algorithms and databases to analyze this information and assess the symptom risk and disease progression stage.

[0086] Based on the disease assessment results, the therapy program formulation module selects the appropriate combination of electrical stimulation points, intensity and duration from the pre-stored therapy program library and sends the program to the communication module. The therapy program library is established based on traditional Chinese medicine theory, clinical experience and a large amount of experimental data. According to different disease stages and symptom risks, the recommended electrical stimulation parameter range is set for each acupoint.

[0087] The user interface and operation module facilitate the operation of patients or caregivers. The interface displays the patient's basic information, condition assessment results, current physical therapy plan, and device connection status. Users can use buttons or sliders on the interface to fine-tune the physical therapy plan (such as adjusting the intensity of electrical stimulation within the recommended range), start or stop physical therapy, and view physical therapy history and effect feedback. The application also provides detailed instructions and precautions to guide users to use the device correctly.

[0088] The data management and analysis module can record detailed data of each physical therapy session, including electrical stimulation parameters, physical therapy time, improvement of patient symptoms, etc., analyze and compile statistics on these data, generate physical therapy reports and trend charts, and help patients and doctors understand the dynamic changes in physical therapy effects. At the same time, through the accumulation and analysis of a large amount of patient data, the disease assessment algorithm and physical therapy program library are continuously optimized to improve the physical therapy effect and adaptability of the equipment.

[0089] In this embodiment, the gloves and foot covers are further provided with fixing devices 3, which can be fixed by adjustable Velcro or elastic bandages to adapt to the limb sizes of different patients, thereby ensuring the stability of the device and the accurate fit of the electrode sheet to the acupuncture points during use.

[0090] In this embodiment, the electrode sheet is made of high-quality conductive material to ensure good contact with the skin and effectively transmit electrical stimulation signals.

[0091] In this embodiment, the gloves and foot covers are made of soft, breathable, skin-friendly and elastic materials to ensure the comfort of patients wearing them for a long time. The gloves can cover from the hands to the upper arms, and the foot covers can cover from the feet to the calves.

[0092] In this embodiment, the safety protection mechanism has built-in safety devices such as overcurrent protection and short-circuit protection. When abnormal current or other fault conditions are detected, the power supply is automatically cut off to ensure the safety of the patient.

[0093] A method of using an electrical stimulation acupoint massage device for cancer patients is as follows:

[0094] 1) Put gloves and foot covers on the patient's hands and feet respectively and fix them with fixing devices;

[0095] 2) Input the patient's relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) on the mobile phone control computing console;

[0096] 3) The disease assessment and analysis module uses built-in algorithms and databases to analyze the input information and assess the symptom risk and disease progression stage;

[0097] 4) The physical therapy program formulation module selects appropriate electrical stimulation acupoint combination, intensity and duration from the pre-stored physical therapy program library based on the condition assessment results, and sends the program to the communication module;

[0098] 5) The communication module receives the therapy plan and sends it to the signal generator. The signal generator generates an electrical stimulation signal of a certain frequency, intensity and waveform according to the therapy plan, and sends it to the electrode sheet for electrical stimulation acupoint massage;

[0099] 6) Patients can use their mobile phones to manipulate buttons or sliders on the computer interface to fine-tune therapy plans (such as adjusting the intensity of electrical stimulation within the recommended range), start or stop therapy, and view therapy history and effect feedback.

[0100] Example 2 Symptom risk assessment

[0101] Patients or caregivers fill out the symptom information questionnaire truthfully according to the actual situation of the patients. It involves multiple symptoms (sleep, defecation, appetite, edema, pain, cough, etc.). The quantitative score corresponding to each symptom is shown in Table 1.

[0102] Table 1 Quantitative score table corresponding to each symptom

[0103]

[0104]

[0105] According to the risk assessment calculation formula in Table 2, the quantitative score of each symptom is converted into a risk assessment result, and each influence coefficient can be obtained based on clinical experience. The risk assessment results are divided into three levels: low risk, medium risk, and high risk. For example, Rs < 0.3 is low risk, 0.3 ≤ Rs < 0.7 is medium risk, and Rs ≥ 0.7 is high risk.

[0106] Table 2 Risk assessment calculation formula

[0107]

[0108]

[0109] Example 3 Evaluation of disease progression stage

[0110] 1. Basic information coding

[0111] Basic information 1: According to the patient's gender, age, height, and weight, the corresponding codes J1-J8 are obtained. For example, the following method or other regular coding methods can be used for coding: male, over 55 years old, normal BMI, coded as J1; male, over 55 years old, abnormal BMI, coded as J2; male, under 55 years old, normal BMI, coded as J3; male, under 55 years old, abnormal BMI, coded as J4; female, over 50 years old, normal BMI, coded as J5; female, over 50 years old, abnormal BMI, coded as J6; female, under 50 years old, normal BMI, coded as J7; female, under 50 years old, abnormal BMI, coded as J8.

[0112] Basic information 2: basic diseases, cancer diagnosis time, treatment history, and corresponding codes C1-C8. For example, the following methods or other regular coding methods can be used for coding: no basic diseases, cancer diagnosis time <1 year, no treatment history, coded as C1; no basic diseases, cancer diagnosis time ≥1 year, no treatment history, coded as C2; no basic diseases, cancer diagnosis time <1 year, with treatment history, coded as C3; no basic diseases, cancer diagnosis time ≥1 year, with treatment history, coded as C4; with basic diseases, cancer diagnosis time <1 year, no treatment history, coded as C5; with basic diseases, cancer diagnosis time ≥1 year, no treatment history, coded as C6; with basic diseases, cancer diagnosis time <1 year, with treatment history, coded as C7; with basic diseases, cancer diagnosis time ≥1 year, with treatment history, coded as C8.

[0113] Basic information three: According to the patient's tongue coating condition, obtain the corresponding code T1-T7. For example, the following method or other regular coding methods can be used for coding: white thin coating is coded as T1; white thick greasy coating is coded as T2; yellow greasy coating is coded as T3; black coating is coded as T4; peeling coating is coded as T5; mirror tongue is coded as T6; cracked tongue is coded as T7.

[0114] Cancer type: Create a cancer type coding dictionary and encode different cancer types as L. For example, lung cancer is encoded as L1, gastric cancer is encoded as L2, breast cancer is encoded as L3, and so on.

[0115] Disease stage: According to the cancer stage, whether there is metastasis (proximal metastasis, distant metastasis), the patient's stage I to IV is determined, and the corresponding codes B1, B2, B3, B4 are obtained.

[0116] Treatment stage: Select according to actual situation, clarify the patient's treatment stage, chemotherapy, radiotherapy, targeted physical therapy, immunotherapy, surgery, treatment interval stage, rehabilitation stage, palliative care stage, and obtain the corresponding code Z1-Z15.

[0117] Each of the above corresponding codes has its own corresponding basic information variable value.

[0118] 2. Calculation of comprehensive disease index

[0119] Taking into account the symptom quantitative score, symptom duration, change trend and basic information, a disease assessment index system is constructed to obtain a composite disease index (CDI), which can be calculated as follows:

[0120]

[0121] Among them, Si represents the risk assessment result of the i-th symptom, and wi is its corresponding weight; Bj represents the j-th basic information variable (referring to basic information, cancer type code, disease stage code, treatment stage code, etc.), and vj is its weight; T represents the comprehensive evaluation value of symptom duration (obtained by weighted summation of the duration of each symptom or other statistical methods), and k is its weight; M represents the comprehensive evaluation value of the symptom change trend (obtained by calculating the average change slope of multiple symptom quantification values), and p is its weight.

[0122] These weight values ​​are determined by analyzing a large amount of clinical data, regression analysis, and training of neural network machine learning algorithms, so that CDI can accurately reflect the severity and progression of the disease. CDI is divided into different intervals, each corresponding to a stage of disease progression, mild progression (CDI<30), moderate progression (30≤CDI<60), and severe progression (CDI≥60).

[0123] Example 4 Physical therapy program formulation

[0124] 1. Acupoint selection database

[0125] An acupoint selection database is established to determine acupoint combinations related to different symptoms and conditions based on TCM theory and clinical practice. For example, to improve sleep, Shenmen, Neiguan, Sanyinjiao, etc. are involved; to relieve pain, Hegu, Zusanli, Taichong, etc. are involved; to promote defecation, Tianshu, Zhigou, Shangjuxu, etc. are involved. Each acupoint combination corresponds to one or more conditions and symptom types.

[0126] An index of priority or applicable range is set for each acupoint combination so that it can be selected in different situations. For example, some acupoint combinations may be more suitable for patients with mild conditions and early stages, while others are more suitable for patients with severe conditions or specific cancer types.

[0127] 2. Electric pulse parameter determination model

[0128] 1) Strength determination

[0129] The determination of the intensity of the electric pulse takes into account the severity of the patient's condition, the risk level of symptoms, and individual differences (such as age, BMI, tolerance to pain, etc.). Generally speaking, the more severe the condition and the higher the risk of symptoms, the initial intensity of the electric pulse can be appropriately increased, but it must also be within the patient's tolerance range. A model based on linear regression or decision tree can be established to determine the intensity of the electric pulse. For example, assuming that the relationship between the electric pulse intensity I (in milliamperes, mA) and the comprehensive disease assessment index CDI, age A, BMI index B, and pain tolerance T (which can be quantified through a simple questionnaire, such as 0-10 points, with higher scores indicating higher tolerance) can be expressed as:

[0130] I=b0+b1CDI+b2A+b3B+b4T p

[0131] Among them, b0-b4 are coefficients obtained by regression analysis of a large amount of clinical data, and the b0 value is a coefficient set according to the patient's skin condition. In actual application, the intensity of the electric pulse will be dynamically adjusted within a certain range according to the patient's feedback. For example, if the patient feels that the stimulation is too strong or too weak, the intensity can be appropriately increased or decreased, but the amplitude of each adjustment should not be too large (for example, ±5%).

[0132] 2) Determine the duration

[0133] The duration of electrical pulse stimulation depends on the chronicity of the condition, the stability of symptoms, and the treatment goals. For chronic and stable symptoms, longer stimulation may be needed to achieve a therapeutic effect, while for acute or recently exacerbated symptoms, shorter but more frequent stimulation sessions may be required.

[0134] A basic duration range is determined based on the duration of symptoms and the trend of change, and then adjusted based on the stage of disease progression. For example, if sleep problems have persisted for several months and there is no obvious improvement trend in the near future, the initial stimulation duration is set to 30-45 minutes; if the pain symptoms suddenly worsen recently, the initial duration is set to 15-20 minutes. Then, further adjustments are made based on the severity of the disease. For example, the mild progression stage can reduce a certain percentage (such as -20%) based on the basic duration, and the severe progression stage can increase a certain percentage (such as +20%).

[0135] 3) Mode determination

[0136] The mode of electric pulses includes parameters such as frequency and waveform. Different modes have different stimulation effects on acupoints and patients' feelings. Low-frequency (2-10Hz) electric stimulation may have better analgesic and nervous system function regulation effects; medium-frequency (10-100Hz) electric stimulation may be more conducive to promoting blood circulation and muscle relaxation; high-frequency (above 100Hz) electric stimulation may be used to quickly relieve symptoms or perform special treatments in some cases.

[0137] In terms of waveforms, common ones include sine waves, square waves, triangle waves, etc., and the characteristics and therapeutic effects of each waveform are also different. For example, the sine wave is relatively gentle and suitable for patients who are sensitive to stimulation; the square wave has a relatively large stimulation intensity and may be more suitable for situations that require stronger stimulation.

[0138] The mode can be selected according to the type of symptoms and the characteristics of the disease. For pain symptoms, low-frequency sine waves are used for stimulation in the early stage to relieve pain and avoid overstimulation; for edema symptoms, medium-frequency square waves are combined with certain pulse sequences (such as sparse-dense waves) to promote lymph and blood circulation. At the same time, the mode can also be adjusted and optimized according to the patient's feedback and treatment effect.

[0139] Example 5: Example of formulating a plan for electrical pulse stimulation of acupoints

[0140] A patient with advanced lung cancer, treatment stage is advanced stage, with metastasis, age 65 years old, male, BMI 22, sleep quantification value 2, pain quantification value 7, bowel movement quantification value 2, other symptoms were also quantified and recorded accordingly.

[0141] After calculation by the algorithm, the comprehensive disease assessment index CDI is 70, which is judged to be in the severe progressive stage. The risk assessment value of sleep symptoms is 0.8 (high risk), the risk assessment value of pain symptoms is 0.7 (high risk), and the risk assessment value of defecation symptoms is 0.6 (high risk).

[0142] The algorithm outputs the following scheme for electric pulse stimulation of acupoints: Shenmen, Neiguan, Zusanli, Hegu, and Sanyinjiao; the electric pulse intensity is 25mA (initial value, which can be adjusted according to patient feedback); the duration is 40 minutes; the mode is low-frequency (5Hz) sine wave for sleep and pain-related acupoint stimulation, and medium-frequency (50Hz) square wave for defecation-related acupoint stimulation (Tianshu, Zhigou, etc.). After physical therapy, sleep time is prolonged, sleep quality is improved, pain is relieved, and defecation frequency is increased.

Claims

1. An electrical stimulation acupoint therapy massage device for cancer patients, comprising gloves, foot covers, electrode sheets 1 arranged on the gloves and foot covers, and an electrical stimulation system 2, wherein the electrical stimulation system 2 comprises a signal generator and a communication module, and the device further comprises a mobile phone control and computing station connected to the communication module, the communication module receives control instructions from the mobile phone control and computing station and transmits them to the signal generator; the mobile phone control and computing station is provided with a condition assessment and analysis module and a treatment plan formulation module; the condition assessment and analysis module analyzes the relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) of the patient input by the patient or the nursing staff on the platform and other necessary basic information (such as basic information, cancer type, condition stage, treatment stage, etc.), using built-in algorithms and databases, to assess the symptom risk and the stage of disease progression; the treatment plan formulation module selects a suitable combination of electrical stimulation acupoints, intensity and duration plans from a pre-stored treatment plan library based on the condition assessment results, and sends the plans to the communication module.

2. The device of claim 1, wherein the symptom risk assessment is performed by: Step 1) Fill out the symptom information questionnaire based on the patient's actual situation, involving multiple symptoms (sleep, defecation, appetite, edema, pain, cough, etc.). The quantitative score corresponding to each symptom is shown in the following table: Step 2) Based on the quantitative scores obtained in step 1), the quantitative scores of each symptom are converted into risk assessment results according to the risk assessment calculation formula in the following table. The risk assessment results are divided into three levels: low risk, medium risk, and high risk. For example, Rs < 0.3 is low risk, 0.3 ≤ Rs < 0.7 is medium risk, and Rs ≥ 0.7 is high risk:

3. The device according to claim 1, wherein the disease progression stage assessment is performed by the following method: Step 1) Basic information encoding Basic information 1: According to the patient's gender, age, height, and weight, obtain the corresponding code J1-J6; Basic information 2: underlying disease, cancer diagnosis time, treatment history, and corresponding codes C1-C8; Basic information 3: According to the patient's tongue coating, obtain the corresponding code T1-T7; Cancer type: Create a cancer type coding dictionary and encode different cancer types as L, for example, lung cancer is encoded as L1, gastric cancer is encoded as L2, breast cancer is encoded as L3, etc. Disease stage: According to the cancer stage, whether there is metastasis (proximal metastasis, distant metastasis), the patient's stage I to IV is determined, and the corresponding codes B1, B2, B3, B4 are obtained; Treatment stage: select according to actual situation, clarify the patient's treatment stage, chemotherapy, radiotherapy, targeted physical therapy, immunotherapy, surgery, treatment interval stage, rehabilitation stage, palliative care stage, and obtain the corresponding code Z1-Z15; Each of the above corresponding codes has its own corresponding basic information variable value; Step 2), calculation of comprehensive disease index Taking into account the symptom quantitative score, symptom duration, change trend and basic information, a disease assessment index system is constructed to obtain a composite disease index (CDI), which can be calculated as follows: Among them, Si represents the risk assessment result of the i-th symptom, and wi is its corresponding weight; Bj represents the j-th basic information variable (referring to basic information, cancer type code, disease stage code, treatment stage code, etc.), and vj is its weight; T represents the comprehensive evaluation value of symptom duration (obtained by weighted summation of the duration of each symptom or other statistical methods), and k is its weight; M represents the comprehensive evaluation value of symptom change trend (obtained by calculating the average change slope of multiple symptom quantification values), and p is its weight; Step 3) Evaluation of disease progression CDI is divided into different intervals, each of which corresponds to a stage of disease progression, including mild progression (CDI<30), moderate progression (30≤CDI<60), and severe progression (CDI≥60).

4. The device according to claim 3, wherein the physical therapy program formulation module determines the electric pulse intensity according to the established model based on linear regression or decision tree, and the relationship between the electric pulse intensity I (in milliamperes, mA) and the comprehensive disease assessment index CDI, age A, BMI index B and pain tolerance T is: <h2 style=";text-align:left;direction:ltr">I = b0 + b1CDI + b2A + b3B + b4T<h2 style=";text-align:left;direction:ltr"> p in, b0-b4 are coefficients obtained through regression analysis of a large amount of clinical data, and the b0 value is a coefficient set according to the patient's skin condition.

5. The device as claimed in claim 3, wherein a plurality of electrode sheets 1 are installed on the gloves and foot covers, and the electrode sheets 1 are arranged at acupuncture points related to improving sleep, promoting defecation, improving appetite, relieving edema, pain, and coughing.

6. A system for formulating a therapy plan for electrical acupoint stimulation for cancer patients, comprising a condition assessment and analysis module and a therapy plan formulation module; the condition assessment and analysis module analyzes the relevant symptom information (sleep, defecation, appetite, edema, pain, cough, etc.) and other necessary basic information (such as basic information, cancer type, disease stage, treatment stage, etc.) of the patient input by the patient or the caregiver on the platform, using built-in algorithms and databases to analyze the information, and evaluate the symptom risk situation and the stage of disease progression; the therapy plan formulation module selects appropriate electrical stimulation acupoint combinations, intensity and duration plans from a pre-stored therapy plan library based on the condition assessment results.

7. The system of claim 6, wherein the symptom risk assessment is performed by: Step 1) Fill out the symptom information questionnaire based on the patient's actual situation, involving multiple symptoms (sleep, defecation, appetite, edema, pain, cough, etc.). The quantitative score corresponding to each symptom is shown in the following table: Step 2) Based on the quantitative scores obtained in step 1), the quantitative scores of each symptom are converted into risk assessment results according to the risk assessment calculation formula in the following table. The risk assessment results are divided into three levels: low risk, medium risk, and high risk. For example, Rs < 0.3 is low risk, 0.3 ≤ Rs < 0.7 is medium risk, and Rs ≥ 0.7 is high risk:

8. The system according to claim 6, wherein the disease progression stage assessment is performed by the following method: Step 1) Basic information encoding Basic information 1: According to the patient's gender, age, height, and weight, obtain the corresponding code J1-J6; Basic information 2: underlying disease, cancer diagnosis time, treatment history, and corresponding codes C1-C8; Basic information 3: According to the patient's tongue coating, obtain the corresponding code T1-T7; Cancer type: Create a cancer type coding dictionary and encode different cancer types as L, for example, lung cancer is encoded as L1, gastric cancer is encoded as L2, breast cancer is encoded as L3, etc. Disease stage: According to the cancer stage, whether there is metastasis (proximal metastasis, distant metastasis), the patient's stage I to IV is determined, and the corresponding codes B1, B2, B3, B4 are obtained; Treatment stage: select according to actual situation, clarify the patient's treatment stage, chemotherapy, radiotherapy, targeted physical therapy, immunotherapy, surgery, treatment interval stage, rehabilitation stage, palliative care stage, and obtain the corresponding code Z1-Z15; Each of the above corresponding codes has its own corresponding basic information variable value; Step 2), calculation of comprehensive disease index Taking into account the symptom quantitative score, symptom duration, change trend and basic information, a disease assessment index system is constructed to obtain a composite disease index (CDI), which can be calculated as follows: Among them, Si represents the risk assessment result of the i-th symptom, and wi is its corresponding weight; Bj represents the j-th basic information variable (referring to basic information, cancer type code, disease stage code, treatment stage code, etc.), and vj is its weight; T represents the comprehensive evaluation value of symptom duration (obtained by weighted summation of the duration of each symptom or other statistical methods), and k is its weight; M represents the comprehensive evaluation value of symptom change trend (obtained by calculating the average change slope of multiple symptom quantification values), and p is its weight; Step 3) Evaluation of disease progression CDI is divided into different intervals, each of which corresponds to a stage of disease progression, including mild progression (CDI<30), moderate progression (30≤CDI<60), and severe progression (CDI≥60).

9. The system of claim 8, wherein the physical therapy program formulation module determines the electric pulse intensity according to a model based on linear regression or decision tree, and the relationship between the electric pulse intensity I (in milliamperes, mA) and the comprehensive disease assessment index CDI, age A, BMI index B and pain tolerance T is: <h2 style=";text-align:left;direction:ltr">I = b0 + b1CDI + b2A + b3B + b4T<h2 style=";text-align:left;direction:ltr"> p in, b0-b4 are coefficients obtained through regression analysis of a large amount of clinical data, and the b0 value is a coefficient set according to the patient's skin condition.

10. The system as described in claim 9 can determine a basic duration range of electrical pulse stimulation according to the duration and change trend of symptoms, and then adjust it in combination with the stage of disease progression.

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