Intelligent system for automatic CDT treatment of lymphedema after breast cancer operation

Abstract

The invention provides an intelligent system for automatic CDT treatment of lymphedema after a breast cancer operation. The system comprises a data acquisition module, an automatic CDT treatment module, an intelligent control module and an optimization feedback module. The data acquisition module is used for acquiring physiological related data of a patient; the automatic CDT treatment module is used for providing lymphedema treatment for a patient; the intelligent control module is used for intelligently adjusting related treatment parameters in the treatment process of the patient; the optimization feedback module is used for adjusting a treatment scheme in combination with the adjustment of the treatment process and the feedback of the treatment effect; through real-time data acquisition, intelligent control and optimized feedback, automatic, accurate, personalized and efficient treatment of the lymphedema after the breast cancer operation is realized.

Description

Technical Field

[0001] The present invention relates to the field of medical equipment and rehabilitation technology, and in particular to an intelligent system for automated CDT treatment of lymphedema after breast cancer surgery. Background Art

[0002] Lymphedema after breast cancer surgery is a common complication faced by many patients, mainly manifested as swelling, pain and limited movement of the affected limb, which seriously affects the patient's quality of life. Currently, combined dehydration therapy, namely CDT technology, is widely used in the treatment of lymphedema. This method includes manual lymphatic drainage, compression therapy, exercise therapy and skin care. However, traditional CDT treatment methods rely on the operation of professionals, the treatment process is cumbersome and time-consuming, and it is difficult to achieve personalized adjustments, resulting in unsatisfactory treatment results.

[0003] With the rapid development of medical technology and intelligent technology, it has become possible to develop an automated and intelligent CDT treatment system; the system can monitor the patient's physiological data in real time, dynamically adjust the treatment plan according to data changes, and provide more accurate and efficient treatment; at the same time, using wearable devices and intelligent control technology, patients can also receive effective treatment in a home environment, reducing dependence on medical resources. Summary of the invention

[0004] The purpose of the present invention is to address the current deficiencies and propose an intelligent system for automated CDT treatment of lymphedema after breast cancer surgery.

[0005] The present invention adopts the following technical solution:

[0006] An intelligent system for automated CDT treatment of lymphedema after breast cancer surgery, the system comprising a data acquisition module, an automated CDT treatment module, an intelligent control module and an optimization feedback module; the data acquisition module is used to obtain physiological data related to the patient; the automated CDT treatment module is used to provide lymphedema treatment for the patient; the intelligent control module is used to intelligently adjust relevant treatment parameters during the patient's treatment process; the optimization feedback module is used to adjust the treatment plan in combination with the adjustment of the treatment process and the feedback of the treatment effect;

[0007] The data acquisition module includes a plurality of wearable biosensors, and the physiological-related data are patient data monitored by the plurality of wearable biosensors; the patient data monitored by the plurality of wearable biosensors include normal vital signs data of the patient and treatment-related physiological data; the vital signs data include patient skin temperature, heart rate and blood pressure data, and the treatment-related data include lymphatic flow and limb volume change data of the patient;

[0008] The automated CDT treatment module includes a mechanical massage unit and a pneumatic compression unit; the mechanical massage unit is used to simulate manual lymphatic drainage technology through a mechanical massage device, and perform massage actions according to preset massage mode parameters to provide treatment for the patient; the pneumatic compression unit is used to apply intermittent pressure to the patient's limbs through a pneumatic device according to pneumatic control parameters to assist lymphatic fluid return during the treatment process;

[0009] Furthermore, the intelligent control module includes a treatment information pre-acquisition unit, a treatment plan pre-setting unit and a treatment process control unit; the treatment information pre-acquisition unit is used to pre-acquire the patient's basic disease information before treatment, and the basic disease information includes the patient's postoperative rehabilitation information, lymphedema degree and skin condition information; the treatment plan pre-setting unit is used to set the treatment plan according to the patient's basic disease information, and the treatment process control unit is used to dynamically adjust the treatment parameters in the treatment process in combination with the patient's physiological related data during the treatment process, and the treatment parameters include massage mode parameters and pneumatic control parameters;

[0010] Furthermore, the optimization feedback module includes a manual control adjustment unit, a treatment effect information collection unit and a scheme optimization unit; the manual control adjustment unit can manually control and adjust the treatment parameters during the treatment process based on the patient feedback information according to the manual instructions of the doctor or technician; the treatment effect information collection unit is used to collect information related to the treatment process and the treatment effect information after each treatment is completed, and the scheme optimization unit optimizes the treatment scheme of the preset unit when providing subsequent treatment based on the information collected by the treatment effect information collection unit;

[0011] Furthermore, the treatment process control unit includes a data monitoring subunit, a vital sign adjustment subunit, a treatment adjustment subunit, a signal switching subunit and a safety alarm subunit; the data monitoring subunit sets a standard threshold range for each dimension of the physiological-related data to ensure the safety of the patient's treatment process and the effectiveness of the treatment; when a certain dimension of the physiological-related data is not within its threshold range, the dimension data information is transmitted to the vital sign adjustment subunit or the treatment adjustment subunit for subsequent processing; the vital sign adjustment subunit is used to receive the dimension data information contained in the vital sign data, and send an adjustment signal to adjust the treatment parameters according to the received data information; the treatment adjustment subunit is used to receive the treatment-related data The signal switching subunit is used to receive the adjustment signals sent by the physical sign adjustment subunit and the treatment adjustment subunit, and output the adjustment signals to the automated CDT treatment module to improve the treatment process; and when receiving the adjustment signal of the physical sign adjustment subunit, the adjustment signal is output first to ensure the safety of the patient during the treatment process; when the adjustment signal of the physical sign adjustment subunit is not received and the adjustment signal of the treatment adjustment subunit is received, the adjustment signal of the treatment adjustment subunit is output at this time to optimize the treatment effect; the safety alarm subunit is used to monitor the overall physiological state of the patient and provide an alarm when there is danger during the patient's treatment process;

[0012] Furthermore, the specific working process of the physical sign adjustment subunit is as follows:

[0013] When a dimension k in the vital signs data is not within its threshold range:

[0014]

[0015] Wherein, F′(k) is the set of treatment parameters related to data dimension k after adjustment, wherein data dimension k is specific dimension data contained in vital sign data, such as heart rate data or blood pressure data; F(k) is the current set of treatment parameters related to data dimension k; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension k; α k K is the standardized adjustment coefficient for data dimension k, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; s is the actual value of the current data dimension k; K y For K s The threshold range boundary value of the data dimension k close to the data dimension k; c is the number of triggers in the entire treatment process when the dimension data is not within its threshold range, ε 1It is a preset warning factor, which is used to limit the impact of the number of triggers on the adjustment range;

[0016] After the adjusted treatment parameter set F′(k) is calculated, the treatment parameter set is output as an adjustment signal to the signal switching subunit;

[0017] Furthermore, the specific workflow of the treatment adjustment subunit is as follows:

[0018] When a dimension data l in the treatment-related data is not within its threshold range:

[0019]

[0020] Wherein, F′(l) is the set of treatment parameters related to data dimension l after adjustment, wherein data dimension l is specific dimensional data contained in the treatment-related data, such as lymph flow data or limb volume change rate data; F(l) is the current set of treatment parameters related to data dimension l; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension l; α l is the standardized adjustment coefficient for the data dimension l, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; L s is the actual value of the current data dimension k; L y For K s The threshold range boundary value of the data dimension k close to the data dimension k; d is the number of triggers in the entire treatment process when the dimension data is not within its threshold range, ε 2 It is a preset control coefficient used to limit the influence of the triggering times on the adjustment range;

[0021] After the adjusted treatment parameter set F′(l) is calculated, the treatment parameter set is output as an adjustment signal to the signal switching subunit;

[0022] Furthermore, the safety alarm subunit is triggered when the vital sign data exceeds a preset danger alarm threshold or the triggering number c of a certain dimension data in the vital sign data is greater than ε 1 When an abnormality occurs, an alarm is issued to the user and the treatment process is stopped to ensure patient safety.

[0023] The beneficial effects achieved by the present invention are:

[0024] The present invention provides patients with automated lymphatic drainage and intermittent pressure therapy through mechanical massage devices and pneumatic devices, thereby promoting the return of lymph fluid and reducing limb swelling; by setting a treatment plan and dynamically adjusting the treatment parameters in the treatment plan during the treatment process, personalized treatment can be achieved to adapt to the specific conditions of the patient and ensure the safety and effectiveness of the treatment process; by combining the adjustment of the treatment process and the feedback of the treatment effect, the treatment plan is continuously optimized to further improve the patient's rehabilitation quality and treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0026] Figure 1 It is a schematic diagram of the overall module of the present invention.

[0027] Figure 2 This is a schematic diagram of the workflow of the treatment process control unit of the present invention.

[0028] Figure 3 This is a schematic diagram of the unit workflow for optimizing the solution of the present invention. DETAILED DESCRIPTION

[0029] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention; for those skilled in the art, other systems, methods and / or features of the present embodiment will become apparent after reviewing the following detailed description; it is intended that all such additional systems, methods, features and advantages are included in this specification; included within the scope of the present invention and protected by the appended claims; additional features of the disclosed embodiments are described in the following detailed description, and these features will be apparent from the following detailed description.

[0030] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or component referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limitations on this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0031] Embodiment 1:

[0032] like Figure 1 As shown, this embodiment provides an intelligent system for automated CDT treatment of lymphedema after breast cancer surgery, the system comprising a data acquisition module, an automated CDT treatment module, an intelligent control module and an optimization feedback module; the data acquisition module is used to obtain physiological data related to the patient; the automated CDT treatment module is used to provide lymphedema treatment for the patient; the intelligent control module is used to intelligently adjust relevant treatment parameters during the patient's treatment process; the optimization feedback module is used to adjust the treatment plan in combination with the adjustment of the treatment process and the feedback of the treatment effect;

[0033] The data acquisition module includes a plurality of wearable biosensors, and the physiological-related data are patient data monitored by the plurality of wearable biosensors; the patient data monitored by the plurality of wearable biosensors include normal vital signs data of the patient and treatment-related physiological data; the vital signs data include patient skin temperature, heart rate and blood pressure data, and the treatment-related data include lymphatic flow and limb volume change data of the patient;

[0034] The automated CDT treatment module includes a mechanical massage unit and a pneumatic compression unit; the mechanical massage unit is used to simulate manual lymphatic drainage technology through a mechanical massage device, and perform massage actions according to preset massage mode parameters to provide treatment for the patient; the pneumatic compression unit is used to apply intermittent pressure to the patient's limbs through a pneumatic device according to pneumatic control parameters to assist lymphatic fluid return during the treatment process;

[0035] Furthermore, the intelligent control module includes a treatment information pre-acquisition unit, a treatment plan pre-setting unit and a treatment process control unit; the treatment information pre-acquisition unit is used to pre-acquire the patient's basic disease information before treatment, and the basic disease information includes the patient's postoperative rehabilitation information, lymphedema degree and skin condition information; the treatment plan pre-setting unit is used to set the treatment plan according to the patient's basic disease information, and the treatment process control unit is used to dynamically adjust the treatment parameters in the treatment process in combination with the patient's physiological related data during the treatment process, and the treatment parameters include massage mode parameters and pneumatic control parameters;

[0036] Furthermore, the optimization feedback module includes a manual control adjustment unit, a treatment effect information collection unit and a scheme optimization unit; the manual control adjustment unit can manually control and adjust the treatment parameters during the treatment process based on the patient feedback information according to the manual instructions of the doctor or technician; the treatment effect information collection unit is used to collect information related to the treatment process and the treatment effect information after each treatment is completed, and the scheme optimization unit optimizes the treatment scheme of the preset unit when providing subsequent treatment based on the information collected by the treatment effect information collection unit;

[0037] Further, such as Figure 2 As shown, the treatment process control unit includes a data monitoring subunit, a vital sign adjustment subunit, a treatment adjustment subunit, a signal switching subunit and a safety alarm subunit; the data monitoring subunit sets a standard threshold range for each dimension of the physiological-related data to ensure the safety of the patient's treatment process and the effectiveness of the treatment; when a certain dimension of the physiological-related data is not within its threshold range, the dimension data information is transmitted to the vital sign adjustment subunit or the treatment adjustment subunit for subsequent processing; the vital sign adjustment subunit is used to receive the dimension data information contained in the vital sign data, and send an adjustment signal to adjust the treatment parameters according to the received data information; the treatment adjustment subunit is used to receive the treatment-related data The dimensional data information contained in the data is received, and an adjustment signal is sent out to adjust the treatment parameters according to the received data information; the signal switching subunit is used to receive the adjustment signals sent out by the physical sign adjustment subunit and the treatment adjustment subunit, and output the adjustment signals to the automated CDT treatment module to improve the treatment process; and when the adjustment signal of the physical sign adjustment subunit is received, the adjustment signal is outputted preferentially to ensure the safety of the patient during the treatment process; when the adjustment signal of the physical sign adjustment subunit is not received and the adjustment signal of the treatment adjustment subunit is received, the adjustment signal of the treatment adjustment subunit is outputted at this time to optimize the treatment effect; the safety alarm subunit is used to monitor the overall physiological state of the patient and provide an alarm when there is danger during the patient's treatment process;

[0038] Furthermore, the specific working process of the physical sign adjustment subunit is as follows:

[0039] When a dimension k in the vital signs data is not within its threshold range:

[0040]

[0041] Wherein, F′(k) is the set of treatment parameters related to data dimension k after adjustment, wherein data dimension k is specific dimension data contained in vital sign data, such as heart rate data or blood pressure data; F(k) is the current set of treatment parameters related to data dimension k; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension k; α k K is the standardized adjustment coefficient for data dimension k, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; s is the actual value of the current data dimension k; K y For K s The threshold range boundary value of the data dimension k close to the data dimension k; c is the number of triggers in the entire treatment process when the dimension data is not within its threshold range, ε 1 It is a preset warning factor, which is used to limit the impact of the number of triggers on the adjustment range;

[0042] After the adjusted treatment parameter set F′(k) is calculated, the treatment parameter set is output as an adjustment signal to the signal switching subunit;

[0043] Furthermore, the specific workflow of the treatment adjustment subunit is as follows:

[0044] When a dimension data l in the treatment-related data is not within its threshold range:

[0045]

[0046] Wherein, F′(l) is the set of treatment parameters related to data dimension l after adjustment, wherein data dimension l is specific dimensional data contained in the treatment-related data, such as lymph flow data or limb volume change rate data; F(l) is the current set of treatment parameters related to data dimension l; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension l; α l is the standardized adjustment coefficient for the data dimension l, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; L s is the actual value of the current data dimension k; L y For K s The threshold range boundary value of the data dimension k close to the data dimension k; d is the number of triggers in the entire treatment process when the dimension data is not within its threshold range, ε 2 It is a preset control coefficient used to limit the influence of the triggering times on the adjustment range;

[0047] After the adjusted treatment parameter set f′(l) is calculated, the treatment parameter set is output as an adjustment signal to the signal switching subunit;

[0048] By integrating the degree to which the data of each dimension in the physiological-related data exceeds its normal threshold range and the number of triggers, the treatment parameters can be adjusted accurately; the adjustment signals related to the vital signs data are processed first by the signal switching subunit, and the adjustment signals related to the treatment-related data are processed on the premise of ensuring the safety of the patient, thereby further ensuring the safety and effectiveness of the treatment process;

[0049] Furthermore, the safety alarm subunit is triggered when the vital sign data exceeds a preset danger alarm threshold or the triggering number c of a certain dimension data in the vital sign data is greater than ε 1 When an abnormality occurs, an alarm is issued to the user and the treatment process is stopped to ensure patient safety.

[0050] Embodiment 2:

[0051] This embodiment should be understood to include at least all the features of any of the above embodiments, and further improve upon them;

[0052] This embodiment provides an intelligent system for automated CDT treatment of lymphedema after breast cancer surgery, the system comprising a data acquisition module, an automated CDT treatment module, an intelligent control module and an optimization feedback module; the data acquisition module is used to obtain physiological data related to the patient; the automated CDT treatment module is used to provide lymphedema treatment for the patient; the intelligent control module is used to intelligently adjust relevant treatment parameters during the patient's treatment process; the optimization feedback module is used to adjust the treatment plan in combination with the adjustment of the treatment process and the feedback of the treatment effect;

[0053] The optimization feedback module includes a manual control adjustment unit, a treatment effect information collection unit and a scheme optimization unit; the manual control adjustment unit can manually control and adjust the treatment parameters during the treatment process based on the patient feedback information according to the manual instructions of the doctor or technician; the treatment effect information collection unit is used to collect the treatment process related information and treatment effect information after each treatment is completed, and the scheme optimization unit optimizes the treatment scheme of the preset unit when providing subsequent treatment based on the information collected by the treatment effect information collection unit;

[0054] Furthermore, the treatment process related information collected by the treatment effect information collection unit includes treatment parameters during the treatment process, and adjustment records of the treatment parameters, wherein the adjustment records include adjustment records automatically controlled by the treatment process control unit and adjustment records manually controlled by the doctor through the manual control adjustment unit; the treatment effect information includes lymphedema status information after treatment;

[0055] Further, such as Figure 3 As shown, the scheme optimization unit completes the optimization adjustment of the treatment scheme in the following manner:

[0056] S1: Divide the entire treatment process into multiple time periods of equal length so that it can be analyzed and adjusted section by section;

[0057] S2: For each time period, calculate the optimization adjustment strategy for that time period:

[0058]

[0059] Among them, u′ is the treatment parameter of a certain dimension after optimization and adjustment in this time period, and u is the treatment parameter of a certain dimension before optimization and adjustment in this time period. The average adjustment amount of the adjustment signal related to the vital sign data for the treatment parameter u in the time period in the automatic control adjustment record; The average adjustment amount of the adjustment signal related to the treatment-related data in the automatic control adjustment record for the treatment parameter u during the time period; The average adjustment amount of the treatment parameter u in this time period is recorded for manual control adjustment; γ 1 and γ 2 is the weight coefficient, satisfying γ 1 +γ 2 =1, for γ 2 satisfy:

[0060]

[0061] in, For The normalization coefficient of γ is γ; Z is the treatment effect coefficient, which is obtained by quantitatively comparing the lymphedema status information after treatment with the preset treatment effect, and the value range is (0,1]; δ is the optimization adjustment coefficient, which is used to adjust γ 2 The range and speed of change are set according to the pre-experimental settings;

[0062] Calculate the treatment parameters of all dimensions after optimization and adjustment as the optimization adjustment strategy for this period of time;

[0063] S3: Integrate the optimization adjustment strategies of all time periods as the optimized and adjusted treatment plan;

[0064] By dividing the entire treatment process into multiple time periods of equal length and analyzing and adjusting each period, the treatment parameters within each period can be refined, making the adjustment of the treatment plan more accurate; through comprehensive adjustment records and treatment effect analysis, dynamic analysis and calculation of optimization adjustment strategies can be used to ensure the personalization and optimization effect of the optimized treatment plan, thereby ensuring the safety of the treatment process for subsequent patients while improving the overall effect of the treatment and the quality of rehabilitation.

[0065] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. An intelligent system for automated CDT treatment of lymphedema after breast cancer surgery, characterized in that: The system includes a data acquisition module, an automated CDT treatment module, an intelligent control module and an optimization feedback module; the data acquisition module is used to obtain the patient's physiological data; the automated CDT treatment module is used to provide lymphedema treatment for the patient; the intelligent control module is used to intelligently adjust the relevant treatment parameters during the patient's treatment process; the optimization feedback module is used to adjust the treatment plan in combination with the adjustment of the treatment process and the feedback of the treatment effect; The data acquisition module includes a plurality of wearable biosensors, and the physiological-related data are patient data monitored by the plurality of wearable biosensors; the patient data monitored by the plurality of wearable biosensors include normal vital signs data of the patient and treatment-related physiological data; the vital signs data include patient skin temperature, heart rate and blood pressure data, and the treatment-related data include lymphatic flow and limb volume change data of the patient; The automated CDT treatment module includes a mechanical massage unit and a pneumatic compression unit; the mechanical massage unit is used to simulate manual lymphatic drainage technology through a mechanical massage device, and perform massage movements according to preset massage mode parameters to provide treatment for the patient; the pneumatic compression unit is used to apply intermittent pressure to the patient's limbs through a pneumatic device according to pneumatic control parameters to assist the return of lymph fluid during the treatment process.

2. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: The intelligent control module includes a treatment information pre-acquisition unit, a treatment plan pre-setting unit and a treatment process control unit; the treatment information pre-acquisition unit is used to pre-acquire the patient's basic disease information before treatment, and the basic disease information includes the patient's postoperative rehabilitation information, lymphedema degree and skin condition information; the treatment plan pre-setting unit is used to set the treatment plan according to the patient's basic disease information, and the treatment process control unit is used to dynamically adjust the treatment parameters during the treatment process in combination with the patient's physiological related data during the treatment process, and the treatment parameters include massage mode parameters and pneumatic control parameters.

3. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: The optimization feedback module includes a manual control adjustment unit, a treatment effect information collection unit and a scheme optimization unit; the manual control adjustment unit can manually control and adjust the treatment parameters during the treatment process based on the patient feedback information according to the manual instructions of the doctor or technician; the treatment effect information collection unit is used to collect information related to the treatment process and the treatment effect information after each treatment is completed, and the scheme optimization unit optimizes the treatment scheme of the pre-set unit when providing subsequent treatment based on the information collected by the treatment effect information collection unit.

4. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: The treatment process control unit includes a data monitoring subunit, a physical sign adjustment subunit, a treatment adjustment subunit, a signal switching subunit and a safety alarm subunit; the data monitoring subunit sets a standard threshold range for each dimension of the physiological related data to ensure the safety of the patient's treatment process and the effectiveness of the treatment; When a certain dimension data in the physiological-related data is not within its threshold range, the dimension data information is transmitted to the vital sign adjustment subunit or the treatment adjustment subunit for subsequent processing; the vital sign adjustment subunit is used to receive the dimension data information contained in the vital sign data, and send an adjustment signal to adjust the treatment parameters according to the received data information; the treatment adjustment subunit is used to receive the dimension data information contained in the treatment-related data, and send an adjustment signal to adjust the treatment parameters according to the received data information; the signal switching subunit is used to receive the adjustment signals sent by the vital sign adjustment subunit and the treatment adjustment subunit, and output the adjustment signals to the automated CDT treatment module to improve the treatment process; and when the adjustment signal of the vital sign adjustment subunit is received, the adjustment signal is output first to ensure the safety of the patient during the treatment process; when the adjustment signal of the vital sign adjustment subunit is not received and the adjustment signal of the treatment adjustment subunit is received, the adjustment signal of the treatment adjustment subunit is output at this time to optimize the treatment effect; the safety alarm subunit is used to monitor the overall physiological state of the patient and provide an alarm when there is danger during the patient's treatment process.

5. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: The specific workflow of the physical sign adjustment subunit is as follows: When a dimension k in the vital signs data is not within its threshold range: Among them, F′(k) is the set of treatment parameters related to data dimension k after adjustment; F(k) is the current set of treatment parameters related to data dimension k; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension k; α k K is the standardized adjustment coefficient for data dimension k, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; s is the actual value of the current data dimension k; K y For K s The threshold range boundary value of the data dimension k that is close to the data dimension k; c is the number of times the dimension data is not triggered within its threshold range during the entire treatment process, and ε1 is the preset warning coefficient, which is used to limit the impact of the number of triggers on the adjustment range; After the calculation of the adjusted treatment parameter set F′(k) is completed, the treatment parameter set is output as an adjustment signal to the signal switching subunit.

6. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: The specific workflow of the treatment adjustment subunit is as follows: When a dimension data l in the treatment-related data is not within its threshold range: Among them, F′(l) is the set of treatment parameters related to data dimension l after adjustment; F(l) is the current set of treatment parameters related to data dimension l; is a unit direction amplitude adjustment vector for adjusting each treatment parameter in the treatment parameter set related to the data dimension l; α l is the standardized adjustment coefficient for the data dimension l, which is used to ensure the consistency and controllability of data of different dimensions during the adjustment process; L s is the actual value of the current data dimension k; L y For K s The threshold range boundary value of the data dimension k that is close to the data dimension k; d is the number of times the dimension data is triggered outside its threshold range during the entire treatment process, and ε2 is a preset control coefficient used to limit the impact of the number of triggers on the adjustment amplitude; After the calculation of the adjusted treatment parameter set F′(l) is completed, the treatment parameter set is output as an adjustment signal to the signal switching subunit.

7. The intelligent system for automated CDT treatment of postoperative lymphedema of breast cancer according to claim 1, characterized in that: When the vital sign data exceeds a preset danger alarm threshold or the triggering number c of a certain dimension data in the vital sign data is greater than ε1, the safety alarm subunit issues an alarm to the user and stops the treatment process to ensure the safety of the patient.

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