System for treating chronic lumbago through synergistic effect of massage and whole body vibration training

Abstract

The invention discloses a system for treating chronic lumbago through the synergistic effect of massage and whole body vibration training. The system comprises a patient information registration and management module, a chronic pain evaluation module, a treatment effect evaluation module, a data analysis and feedback module, a vibration training control terminal and a massage treatment and guidance module. A patient is guided to complete standardized waist actions, pain scores under various postures are recorded, a main pain area is determined in combination with a Pareto analysis method, an average value and standard deviation model is constructed by using score data in multiple treatments, and normal distribution fitting and curative effect judgment of pain changes are further achieved. Massage and vibration training are linked through the system, data intercommunication is achieved, standardized, intelligent and personalized intervention in the treatment process is achieved, and the rehabilitation efficiency of the chronic lumbago patient is effectively improved. The system has the advantages of complete structure, scientific evaluation, accurate intervention and the like, and is suitable for popularization and application in the fields of rehabilitation medicine and clinical physical treatment.

Description

Technical Field

[0001] The present invention relates to the field of the integration of medical devices and treatment technologies, and particularly to a system for treating chronic low back pain through the synergistic effect of massage and whole body vibration training. Background Art

[0002] Chronic Low Back Pain (CLBP) is one of the highly prevalent musculoskeletal diseases globally, characterized by repeated or persistent pain in the lumbar region, with a duration exceeding 12 weeks, severely affecting the quality of life and social labor ability of patients. Its pathogenesis is complex, involving multiple structural factors such as muscles, ligaments, intervertebral discs, joints, and the nervous system, and there is currently no unified treatment standard. Although traditional drug treatments can relieve pain, long-term use is prone to drug resistance and adverse reactions, and non-drug intervention methods have gradually become an important direction for treating chronic low back pain.

[0003] As one of the traditional Chinese medicine treatment methods, massage has the effects of dredging meridians, relieving muscle spasms, and improving local blood circulation, and has been widely used in the rehabilitation process of various chronic musculoskeletal diseases. Research shows that massage can effectively relieve soft tissue tension and improve the local inflammatory state, thereby reducing pain and promoting functional recovery.

[0004] Whole Body Vibration Training (WBVT) is a modern rehabilitation training method that stimulates the body through mechanical vibrations of specific frequencies and amplitudes to promote muscle contraction, activate deep core muscle groups, and improve neuromuscular control ability. In recent years, research has shown that WBVT has significant effects in improving postural control, enhancing muscle strength and stability, and has certain potential for relieving chronic low back pain and reducing recurrence.

[0005] However, currently, massage and WBVT are mostly applied as single intervention methods, and there are relatively limited studies on their synergistic treatment of chronic low back pain. Massage mainly improves the soft tissue state and relieves pain, while WBVT emphasizes the training of motor function and nerve control. The two are complementary in mechanism. Therefore, exploring the synergistic mechanism between massage and whole body vibration training and constructing a systematic combined treatment plan have important clinical promotion value and research significance. Summary of the Invention

[0006] Aiming at the above problems, the purpose of the present invention is to propose a system for treating chronic low back pain through the synergistic effect of massage and whole body vibration training, including: a patient information registration and management module 1, a chronic pain assessment module 2, a vibration training device 3, a treatment effect assessment module 4, a data analysis and feedback module 5, a vibration training control terminal 6, and a massage treatment and guidance module 7; The patient information registration and management module 1 is used to register and manage the basic information of patients, including: A case record unit 1-1, which is used to record the medical history, diagnosis and treatment conditions of patients; A patient information database 1-2, which is used to store the patient information recorded by the case record unit; A vibration training data unit 1-3, which is used to record the data of patients during whole-body vibration training, including vibration frequency, vibration amplitude and training time; A tuina treatment record unit 1-4, which is used to record the specific operations, techniques used and duration of each tuina treatment for patients.

[0007] Furthermore, the chronic pain assessment module 2 includes a warning unit 2-1, which triggers a warning signal by detecting an abnormal pain score value during vibration training.

[0008] Furthermore, the warning unit 2-1 analyzes the vibration parameters that cause the abnormal pain score value based on a pain score matrix.

[0009] Furthermore, the warning of the abnormal pain score value is executed through the following steps: For each patient, record the vibration parameters of each treatment and the corresponding pain scores, and form a mapping data set of vibration parameters and pain scores; For the pain scores under each group of the same vibration parameters, calculate their mean value and standard deviation, and construct a normal distribution model of pain scores under this vibration parameter; When new pain score data is added, if the difference between it and the mean value exceeds three times the standard deviation, it is determined as an abnormal score, and a warning prompt is triggered.

[0010] Furthermore, the treatment effect evaluation module 4 is used to evaluate the treatment effects of tuina and whole-body vibration training; the treatment effect evaluation module 4 includes the following sub-units: An efficacy evaluation algorithm unit 4-1, which is used to calculate the efficacy according to the change of pain scores and judge whether the treatment reaches the expected effect; An efficacy data storage unit 4-2, which is used to record and save the results of each efficacy evaluation, facilitating subsequent retrospective analysis and treatment adjustment; An improvement rate calculation unit 4-3, which is used to calculate the improvement degree of pain scores before and after treatment. The calculation method of the improvement rate is: subtract the pain score after treatment from the pain score before treatment, then divide by the score before treatment, and convert the result into a percentage; A marked efficacy calculation unit 4-4, which is used to evaluate whether the treatment effect is significant. The calculation method of the marked efficacy is: subtract the reference score of clinically normal painless patients from the pain score after treatment, then divide by the score after treatment, and convert it into a percentage; The treatment effect decline rate calculation unit 4-5 is used to evaluate the difference degree between the improvement rate and the marked improvement rate. The calculation method of the treatment effect decline rate is: subtract the marked improvement rate from the improvement rate, then divide by the improvement rate, and convert it into a percentage, which is used to reflect the relative proportion of insufficient treatment effect.

[0011] Furthermore, the data analysis and feedback module 5 is used to analyze the data of vibration training and massage treatment; the data analysis and feedback module 5 includes: The correlation analysis unit 5-1: is used to analyze the correlation between vibration training parameters and pain scores; The data chart visualization unit 5-2: is used to display the analysis results in the form of charts; The analysis result generation unit 5-3: is used to generate a report based on the analysis results for doctors' reference.

[0012] Furthermore, the vibration training control terminal 6 is used to control the vibration parameters of the vibration training equipment; the vibration training control terminal 6 includes: The vibration program list unit 6-1: is used to store and manage different vibration programs and control the vibration equipment according to the selected treatment plan; The manual adjustment unit 6-2: is used to manually adjust the vibration parameters according to the patient's reaction during the treatment process; The vibration parameter input unit 6-3: is used to input the vibration parameters into the system for data interaction with other modules.

[0013] Furthermore, the massage treatment and guidance module 7 is used to guide the operation of the massage therapist during the treatment process; the massage treatment and guidance module 7 includes: The manipulation storage unit 7-1: is used to store different massage techniques and their specific operations; The technique selection unit 7-2: is used to select appropriate techniques according to the patient's specific situation and treatment plan; The voice or text guidance unit 7-3: is used to provide operation guidance to the massage therapist to ensure the consistency and accuracy of the techniques.

[0014] The present invention also provides an application method of the system for synergistically treating chronic low back pain by massage and whole body vibration training, which specifically includes: S1. Pain assessment: Based on the visual pain rating scale and the lumbar motion detection device provided by the system, the chronic pain assessment module uses the Pareto analysis method to determine the main pain areas and pain scores; S2. Determination of the main pain areas: According to the Pareto analysis method, determine the main pain areas and secondary pain areas; specifically include: S2.1. Sort the pain scores of each region from largest to smallest to form a descending sequence. S2.2. Mark each item in the sorted sequence as the first item, the second item, the third item, etc., and number them with natural numbers. S2.3. Add up all the pain scores to obtain the total score value. S2.4. Starting from the first item in the sorted sequence, accumulate the scores of each item one by one. Divide the accumulated result by the total score value, and then multiply by 100% to obtain the cumulative percentage corresponding to each item. S2.5. Compare the cumulative percentages of each item, and select the first few items whose cumulative percentages reach or exceed 80%. The regions corresponding to the first three of them are the main pain regions.

[0015] S3. Mean calculation: For each main pain region, collect all the pain scores in this region. Add these scores up and divide by the number of scoring times to obtain the average score of this region.

[0016] S4. Standard deviation calculation: Based on the average value obtained in S3, calculate the difference between each score and the average value. Square the differences and accumulate them. Then divide by the number of scoring times minus one, and finally take the square root to obtain the standard deviation of the scores in this region.

[0017] S5. Efficacy evaluation: According to the average score and standard deviation of each main pain region, establish a normal distribution model. If the decrease amplitude of the score after the last treatment compared to the average value is lower than the set decrease threshold, it is determined that the efficacy of this region is ineffective. If the decrease amplitude is higher than the threshold and the standard deviation of the scores in this region is lower than the set standard deviation threshold, it is determined that the efficacy of this region is effective. Otherwise, it is determined that the efficacy is to be determined.

[0018] Furthermore, the single pain score in step S1 is obtained through the following steps: S1.1. The patient changes from the prone position to the standing position. S1.2. The patient performs two-dimensional lumbar flexion and extension movements in the standing position. Using a visual pain rating scale, record the first pain value in the pain area. S1.3. The patient performs three-dimensional left lateral flexion of the lumbar spine without lateral curvature in the standing position. Using a visual pain rating scale, record the second pain value in the pain area. S1.4. The patient performs three-dimensional right lateral flexion of the lumbar spine without lateral curvature in the standing position. Using a visual pain rating scale, record the third pain value in the pain area. S1.5. The patient performs clockwise rotation of the lumbar spine in the standing position. Using a visual pain rating scale, record the fourth pain value in the pain area. S1.6. The patient performs a counterclockwise lumbar rotation movement in the standing position; using a visual pain rating scale, record the fifth pain value in the pain area; S1.7. Obtain the single-description pain value in the pain area; the single-description pain value is the average of the absolute values of the first pain value, the second pain value, the third pain value, the fourth pain value, and the fifth pain value.

[0019] Beneficial effects The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training proposed by the present invention breaks through the limitations of traditional single means, such as limited intervention effect on chronic pain, strong subjectivity of pain assessment methods, and lack of quantitative standards for treatment parameters. It realizes a comprehensive treatment system integrating information collection, process intervention, efficacy evaluation, data analysis, and result feedback, and has significant advantages in precise and intelligent rehabilitation.

[0020] First of all, through the patient information registration and management module, this system realizes the comprehensive recording from case records, historical diagnosis and treatment information, vibration training process parameters to each massage technique and operation details, providing solid data support for the formulation of personalized treatment plans. Especially the automatic collection and management of key data such as vibration frequency, amplitude, and training time in this module ensure the traceability and standardization of the training process.

[0021] Secondly, through the chronic pain assessment module, this system realizes the multi-dimensional dynamic identification of the patient's pain level. By allowing the patient to perform standardized lumbar movements in different directions and angles, and using a visual pain rating scale to score the pain area in real time after each movement, pain response data covering multiple movement patterns can be obtained. This module further integrates an early warning mechanism: when the system identifies that the pain score under a certain treatment parameter significantly deviates from the previous distribution range, it automatically issues an early warning, prompting the doctor that this parameter may cause discomfort to the patient, ensuring the safety and adaptability of the treatment.

[0022] Furthermore, this system innovatively introduces an association modeling mechanism between pain scores and treatment parameters. Through the integration and statistics of historical score data, the system can automatically analyze the typical pain response rules under specific vibration parameters and construct a normal response range model. Once the new score significantly deviates from the historical average level, the system can judge it as abnormal and automatically prompt, effectively assisting the doctor in judging the efficacy trend and adjusting strategies.

[0023] In terms of efficacy evaluation, the system constructs a complete efficacy calculation model. The system can automatically compare the pain scores before and after treatment, and calculate the improvement rate, marked efficacy rate and efficacy decline rate accordingly, comprehensively measuring the intensity and stability of the intervention effect. Through automated data analysis, doctors can intuitively understand the changes in the rehabilitation curve under different treatment courses, providing a reference basis for optimizing massage techniques or vibration parameter combinations. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a schematic diagram of the primary structure of the system of the present invention; Figure 2 is a schematic diagram of the secondary structure of the patient information registration and management module of the system of the present invention; Figure 3 is a schematic diagram of the secondary structure of the chronic pain assessment module of the system of the present invention; Figure 4 is a schematic diagram of the secondary structure of the treatment effect assessment module of the system of the present invention; Figure 5 is a schematic diagram of the secondary structure of the data analysis and feedback module of the system of the present invention; Figure 6 is a schematic diagram of the secondary structure of the vibration training control terminal of the system of the present invention; Figure 7 is a schematic diagram of the secondary structure of the massage treatment and guidance module of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] To deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with embodiments. These embodiments are only used to explain the present invention and do not limit the protection scope of the present invention.

[0026] Embodiment 1 According to Figure 1 shown, this embodiment provides a system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training, including: a patient information registration and management module 1, a chronic pain assessment module 2, a vibration training device 3, a treatment effect assessment module 4, a data analysis and feedback module 5, a vibration training control terminal 6, and a massage treatment and guidance module 7; As Figure 1 shown, the patient information registration and management module 1 is used to register and manage the basic information of patients, including: a case record unit 1-1, used to record the medical history, diagnosis and treatment conditions of patients; a patient information database 1-2, used to store the patient information recorded by the case record unit; Vibration training data units 1-3 are used to record data of patients during whole-body vibration training, including vibration frequency, vibration amplitude, and training time; Tuina treatment record units 1-4 are used to record the specific operations, techniques used, and duration of each tuina treatment for patients.

[0027] As Figure 3 shown, the chronic pain assessment module 2 includes a warning unit 2-1, which triggers a warning signal by detecting an abnormal pain score value during vibration training.

[0028] The warning unit 2-1 analyzes the vibration parameters that cause the abnormal pain score value based on the pain score matrix; the warning of the abnormal pain score value is executed through the following steps: For each patient, record the vibration parameters and corresponding pain scores of each treatment to form a mapping data set of vibration parameters and pain scores; For the pain scores under each group of the same vibration parameters, calculate their mean and standard deviation, and construct a normal distribution model of the pain scores under this vibration parameter; When new pain score data is added, if the difference between it and the mean exceeds three times the standard deviation, it is determined as an abnormal score and a warning prompt is triggered.

[0029] The treatment effect evaluation module 4 is used to evaluate the treatment effects of tuina and whole-body vibration training; as Figure 4 shown, the treatment effect evaluation module 4 includes: An efficacy evaluation algorithm unit 4-1 calculates the efficacy based on the change in pain scores; An efficacy data storage unit 4-2 is used to store the results of efficacy evaluation; An improvement rate calculation unit 4-3 is used to calculate the improvement rate before and after treatment. The improvement rate refers to the change ratio of the pain scores before and after treatment. Its calculation method is: taking the pain score before treatment as the benchmark, subtracting the pain score after treatment from the score before treatment, then dividing by the score before treatment, and converting the obtained result into a percentage to get the improvement rate value.

[0030] An excellent efficacy rate calculation unit 4-4 is used to calculate the excellent efficacy rate after treatment. The calculation method of the excellent efficacy rate is: taking the pain score after treatment as the benchmark, calculating the difference between it and the reference score of clinically painless patients, then dividing by the score after treatment, and finally converting the result into a percentage to evaluate whether the treatment has achieved a significant effect close to the normal painless state.

[0031] The treatment effect decline rate calculation unit 4-5 is used to calculate the difference ratio between the improvement rate and the marked improvement rate. The calculation method is as follows: subtract the marked improvement rate from the improvement rate, divide the obtained difference by the improvement rate, and convert the result into a percentage to obtain the treatment effect decline rate, which is used to reflect the relative proportion of the improvement effect that does not meet the clinical marked improvement standard.

[0032] The data analysis and feedback module 5 is used to analyze the data of vibration training and massage therapy; as Figure 5 shown, the data analysis and feedback module 5 includes: The correlation analysis unit 5-1: used to analyze the correlation between vibration training parameters and pain scores; The data chart visualization unit 5-2: used to display the analysis results in the form of charts; The analysis result generation unit 5-3: used to generate a report based on the analysis results for doctors' reference.

[0033] The vibration training control terminal 6 is used to control the vibration parameters of the vibration training equipment; as Figure 6 shown, the vibration training control terminal 6 includes: The vibration program list unit 6-1: used to store and manage different vibration programs and control the vibration equipment according to the selected treatment plan; The manual adjustment unit 6-2: used to manually adjust the vibration parameters according to the patient's reaction during the treatment process; The vibration parameter input unit 6-3: used to input the vibration parameters into the system for data interaction with other modules.

[0034] The massage therapy and guidance module 7 is used to guide the operation of massage therapists during the treatment process; as Figure 7 shown, the massage therapy and guidance module 7 includes: The manipulation storage unit 7-1: used to store different massage techniques and their specific operations; The technique selection unit 7-2: used to select appropriate techniques according to the patient's specific conditions and treatment plans; The voice or text guidance unit 7-3: used to provide operation guidance to massage therapists to ensure the consistency and accuracy of techniques.

[0035] Embodiment 2 This embodiment provides an application method of the system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training on the basis of Embodiment 1, including the following steps: S1. Pain assessment: Use the chronic pain assessment module 2 to adopt the Pareto analysis method to determine the main pain areas; based on the visual pain score table and lumbar motion detection equipment provided by the system, determine the pain scores of each pain area; the single pain score is obtained through the following steps: S1.1. The patient changes from the prone position to the standing position; S1.2. The patient performs two-dimensional lumbar flexion and extension movements in the standing position; using a visual pain rating scale, record the first pain value in the pain area; S1.3. The patient performs three-dimensional left lateral flexion of the lumbar spine without scoliosis in the standing position; using a visual pain rating scale, record the second pain value in the pain area; S1.4. The patient performs three-dimensional right lateral flexion of the lumbar spine without scoliosis in the standing position; using a visual pain rating scale, record the third pain value in the pain area; S1.5. The patient performs clockwise rotation of the lumbar spine in the standing position; using a visual pain rating scale, record the fourth pain value in the pain area; S1.6. The patient performs counterclockwise rotation of the lumbar spine in the standing position; using a visual pain rating scale, record the fifth pain value in the pain area; S1.7. Obtain the single described pain value in the pain area; the single described pain value is the average of the absolute values of the first pain value, the second pain value, the third pain value, the fourth pain value, and the fifth pain value.

[0036] S2. Determination of the main pain area: According to the Pareto analysis method, determine the main pain area and the secondary pain area; the Pareto analysis method specifically includes: S2.1. According to the rating values of each pain area, sort them from high to low to form a descending sequence composed of area numbers and corresponding ratings; S2.2. Number the descending sequence in order to form a labeled sequence with natural number serial numbers; S2.3. Accumulate all the pain rating values to obtain the total pain rating; S2.4. Starting from the first item of the sorted sequence, accumulate the rating values of each item in turn, and divide each accumulated value by the total pain rating to obtain a cumulative percentage sequence; S2.5. Compare the above cumulative percentage with 80%. Among the sequences where the percentage is not less than 80%, the top three area numbers in the ranking are the main pain areas.

[0037] S3. For each main pain area, collect the pain ratings during all its treatment processes, and calculate the average of all ratings, that is, add all the ratings and divide by the number of ratings to obtain the mean sequence of this area.

[0038] S4. On the basis of obtaining the mean, calculate the sample standard deviation between each rating and its mean to form a standard deviation sequence.

[0039] S5. Based on the mean and standard deviation of the scores for each major pain area, construct a normal distribution model. Use the mean of the normal distribution in this area as the representative score after the last treatment. If the decrease in this mean relative to the score before treatment is less than the set threshold, it is determined that the efficacy in this area is ineffective; if the decrease is higher than the threshold and the standard deviation of the scores in this area is lower than the preset standard deviation threshold, it is determined that the efficacy is effective; otherwise, it is determined that the efficacy is to be determined.

[0040] Example 3 This example provides a system for treating chronic low back pain through the synergistic effect of massage and whole-body vibration training, aiming to achieve the full-process management of chronic low back pain patients from pre-diagnosis information collection, pain assessment, individualized intervention, process control, data analysis to efficacy evaluation, and improve the rehabilitation effect through the combined action of massage and vibration training.

[0041] The system in this example consists of multiple functional modules operating in coordination, including: patient information registration and management module, chronic pain assessment module, vibration training equipment, treatment effect evaluation module, data analysis and feedback module, vibration training control terminal, and massage treatment and guidance module. The modules achieve a logical closed-loop through data linkage, improving the scientificity and systematicness of treatment.

[0042] 1. Patient information registration and management module Before the patient enters the treatment process, the system first collects and manages their basic information through the information registration and management module. This module contains the following sub-units: Case record unit: Used to systematically record information such as the patient's personal information, past medical history, clinical examination results, and previous treatment plans, providing a complete health record of the patient for the doctor. Specific information includes the first onset time, the duration of chronic low back pain, whether accompanied by other musculoskeletal diseases, and whether the patient has previously received massage, physical therapy, medication, or surgical intervention, etc.

[0043] Patient information database: Classify and store all case information for structured management, support incremental input and call of multiple treatment records, and facilitate subsequent tracking and comparison.

[0044] Vibration training data unit: During each whole-body vibration training process, the system automatically records key parameters such as the frequency, amplitude, and duration of the vibration equipment operation, and at the same time associates the patient's identity information to ensure the relevance and interpretability of the data during analysis.

[0045] Massage treatment record unit: During each massage treatment session, the therapist needs to fill in the type of massage technique used, the affected area, the intensity of the technique, the operation duration, etc. through this unit. The system supports standardized input and template matching, effectively improving the integrity of treatment records.

[0046] Through the above data collection and management module, the system forms a "patient-centered" digital archive, providing an important basis for subsequent intervention formulation and personalized regulation.

[0047] 2. Chronic Pain Assessment Module Before the formal treatment begins, the system conducts multi-dimensional perception and analysis of the patient's current pain status through the pain assessment module.

[0048] First, the system guides the patient to sequentially complete a variety of standardized lumbar movements in the standing position, such as forward flexion, backward extension, left lateral flexion, right lateral flexion, clockwise rotation, and counterclockwise rotation, etc. After each movement is completed, the patient marks the current most obvious pain level on the visual pain rating scale according to their own feelings. The system automatically records this score and matches it with the corresponding movement.

[0049] All score data is uploaded to the system background in real-time and archived by the pain assessment module. The assessment module is also configured with an intelligent early warning mechanism. When the system identifies that the score after a certain movement is too different from the score under the patient's previous similar training conditions, an abnormal prompt is automatically triggered. For example, if the patient's pain response significantly increases at a certain specific frequency or movement, the system will issue a prompt through this module to remind the doctor to re-examine the suitability of the current treatment parameters.

[0050] This module also builds in a scoring rule analysis logic, which can identify the regularity of the pain concentration area, such as whether it repeatedly appears in specific movements, whether it is concentrated in a certain side of the lumbar region, so as to assist in judging the pain cause and guiding the adjustment of subsequent treatment strategies.

[0051] 3. Vibration Training Equipment and Control Terminal The system is equipped with an intelligent whole-body vibration training device, and its operation is managed by a dedicated control terminal module.

[0052] This terminal includes the following functions: Vibration Program List Unit: Preset a variety of rehabilitation training modes, such as low-frequency relaxation type, high-frequency activation type, cross-rhythm type, etc. The therapist can select the corresponding program according to the specific situation of the patient, or change the plan in the subsequent process.

[0053] Manual Adjustment Unit: During the treatment, the therapist can fine-tune parameters such as frequency and amplitude according to the patient's immediate feedback to ensure that the equipment operation fits the patient's tolerance range and avoid over-stimulation.

[0054] Parameter Input and Data Linkage Unit: All operation parameters can be transmitted to the database in real-time and form a linkage with modules such as pain scores and massage records to support subsequent data analysis and efficacy evaluation.

[0055] Through the vibration control terminal, the entire vibration therapy process can be adjusted, controlled, and traced, facilitating fine-tuning during implementation.

[0056] 4. Tuina Therapy and Guidance Module To ensure the professionalism and consistency of tuina therapy, the system is equipped with a tuina guidance module to assist therapists in scientific operation: Manipulation Operation Storage Unit: The system embeds the standard procedures and operation details of various tuina manipulations, including rolling manipulation, grasping manipulation, pressing and kneading manipulation, point-pressing manipulation, etc., and records their indications and contraindications.

[0057] Manipulation Selection Unit: Based on the patient's pain area, pain type, and previous treatment responses, the system intelligently recommends appropriate manipulation combinations to assist therapists in formulating operation plans.

[0058] Guidance Prompt Unit: It provides real-time voice announcements or text prompts to therapists regarding the manipulation sequence, operation force range, operation duration suggestions, etc., guiding the treatment process to be standardized and orderly, and reducing the effect fluctuations caused by individual operation differences.

[0059] This module improves the standardization level of tuina therapy in the system and also provides auxiliary support for actual scenarios with inconsistent trainer qualifications.

[0060] 5. Treatment Effect Evaluation Module After a certain treatment period, the system automatically conducts comparative analysis on data from multiple dimensions to evaluate the synergistic effect of tuina and vibration training.

[0061] This module comprehensively considers the changes in pain scores before and after treatment, and automatically generates multiple index values, such as the overall improvement amplitude, whether significant efficacy is achieved, the persistence of efficacy, the differences between different treatment plans, etc. The system also supports regional analysis of each major pain area, enabling doctors to clearly identify which areas have obvious improvements after treatment and which areas still require key intervention.

[0062] Meanwhile, all results will be stored in the treatment effect data storage unit. The system automatically marks it as the treatment report for this period and automatically compares it with the previous treatment results to form a rehabilitation trend chart.

[0063] 6. Data Analysis and Feedback Module This module conducts statistics, analysis, and visual presentation on all core data during the treatment process.

[0064] Its functions include: Analysis of the Correlation between Parameters and Scores: The system automatically analyzes the corresponding relationship between vibration frequency, amplitude, and pain relief, providing a basis for individualized parameter adjustment.

[0065] Chart generation and display: The data such as score changes and treatment progress are graphically displayed in the form of line charts, bar charts, heat maps, etc. for doctors or patients to view.

[0066] Automatic generation of result reports: The analysis results will be automatically summarized in a system format to generate a treatment summary report, which is convenient for filing and communication.

[0067] In summary, the system provided in this embodiment realizes the deep collaboration and data closed-loop management of massage and whole-body vibration training in the treatment of chronic low back pain through a highly integrated module design. It not only optimizes the treatment path, but also improves the evaluability of treatment efficacy and the safety of the treatment process, and has significant clinical application and promotion value.

[0068] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A system for treating chronic low back pain by the synergistic effect of massage and whole body vibration training, characterized in that, Including: A patient information registration and management module (1), a chronic pain assessment module (2), a vibration training device (3), a treatment effect assessment module (4), a data analysis and feedback module (5), a vibration training control terminal (6), and a tuina therapy and guidance module (7); The patient information registration and management module (1) is used to register and manage the basic information of patients, including: A case record unit (1-1) for recording the medical history, diagnosis, and treatment conditions of patients; A patient information database (1-2) for storing the patient information recorded by the case record unit; A vibration training data unit (1-3) for recording data of patients during whole-body vibration training, including vibration frequency, vibration amplitude, and training time; A tuina therapy record unit (1-4) for recording the specific operations, techniques used, and duration of each tuina therapy for patients.

2. The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to claim 1, characterized in that, The chronic pain assessment module (2) includes an early warning unit (2-1) that issues an early warning if an abnormal pain score value is detected during vibration training.

3. The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to claim 2, wherein, Based on the early warning of the abnormal pain score value, the early warning unit (2-1) analyzes the vibration parameters that cause the abnormal pain score value.

4. The system for treating chronic low back pain by the synergistic effect of massage and whole body vibration training according to claim 3, wherein The step of issuing an early warning if an abnormal pain score value is detected during vibration training is executed as follows: For each patient, record the vibration parameters and the corresponding pain scores of each treatment to form a mapping data set of vibration parameters and pain scores; For the pain scores under each group of the same vibration parameters, calculate their mean value and standard deviation, and construct a normal distribution model of the pain scores under this vibration parameter; When new pain score data is added, if the difference between it and the mean value exceeds three times the standard deviation, it is determined as an abnormal score and an early warning is issued.

5. The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to any one of claims 1-4, characterized in that, The treatment effect assessment module (4) is used to evaluate the treatment effects of tuina and whole-body vibration training; the treatment effect assessment module (4) includes: An efficacy assessment algorithm unit (4-1) for calculating the efficacy according to the change in pain scores; An efficacy data storage unit (4-2) for storing the results of efficacy assessment; An improvement rate calculation unit (4-3) for calculating the improvement rate of pain scores before and after treatment; The specific calculation method is: taking the pain score before treatment as the reference value, subtracting the score after treatment from the score before treatment, then dividing by the score before treatment, and converting the result into a percentage to obtain the improvement rate; An obvious efficacy rate calculation unit (4-4) for evaluating whether the treatment reaches the clinical painless standard; the specific calculation method is: calculating the difference between the pain score after treatment and the reference score of clinically painless patients, then dividing by the pain score after treatment, and converting it into a percentage to obtain the obvious efficacy rate; An efficacy decline rate calculation unit (4-5) for evaluating the deviation degree between the improvement rate and the obvious efficacy rate; the specific calculation method is: subtracting the obvious efficacy rate from the improvement rate, dividing the obtained difference by the improvement rate, and converting it into a percentage to obtain the efficacy decline rate, which is used to reflect the proportion of the improvement effect that does not reach the clinical obvious efficacy standard.

6. The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to any one of claims 1-4, characterized in that, The data analysis and feedback module (5) is used to analyze the data of vibration training and tuina therapy; the data analysis and feedback module (5) includes: Correlation analysis unit (5-1): used to analyze the correlation between vibration training parameters and pain scores; Data chart visualization unit (5-2): used to display the analysis results in the form of charts; Analysis result generation unit (5-3): used to generate a report based on the analysis results.

7. The system for treating chronic low back pain by the synergistic effect of massage and whole body vibration training according to any one of claims 1-4, characterized in that, The vibration training control terminal (6) is used to control the vibration parameters of the vibration training device (3); the vibration training control terminal (6) includes: Vibration program list unit (6-1): used to store and manage different vibration programs, and control the vibration device according to the selected treatment plan; Manual adjustment unit (6-2): used to manually adjust the vibration parameters according to the patient's reaction during the treatment process; Vibration parameter input unit (6-3): used to input vibration parameters into the system for data interaction with other modules.

8. The system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to any one of claims 1-4, characterized in that, The massage treatment and guidance module (7) is used to guide the operation of massage therapists during the treatment process; the massage treatment and guidance module (7) includes: Manipulation storage unit (7-1): used to store different massage techniques and their specific operations; Technique selection unit (7-2): used to select appropriate techniques according to the specific conditions of the patient and the treatment plan; Voice or text guidance unit (7-3): used to provide operation guidance to massage therapists to ensure the consistency and accuracy of techniques.

9. The application method of the system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to claim 1, includes the following steps: S1. Pain assessment: Using the chronic pain assessment module, the Pareto analysis method is used to determine the pain area; combining the visual pain rating scale and the motion detection device, obtain the score of each pain area; S2. Determination of the main pain area: The Pareto analysis method is performed according to the following steps to divide the main pain area and the secondary pain area: S2.1: Sort the scores of each pain area from high to low to form a descending sequence of the determined pain area set; S2.2: Mark the descending sequence as a sequence of natural numbers increasing in order from large to small; S2.3: Calculate the total pain value of the sequence elements; S2.4: Calculate the cumulative score ratio sequence, that is, the percentage of the sum of the previous scores in the total score; S2.5: Select the first three areas with a cumulative score ratio not less than 80% and define them as the main pain areas; S3. Determine the pain score set of the main pain area and calculate the mean sequence; S4. Based on all the pain scores for any main pain area, calculate the sample standard deviation to obtain the standard deviation sequence; S5. Efficacy determination: Construct a normal distribution with the mean and standard deviation as parameters. If the decrease in the mean is less than the threshold, it is judged that the treatment is ineffective; if the decrease in the mean is greater than the threshold and the standard deviation is lower than the threshold, it is judged that the treatment is effective; otherwise, it is judged that the efficacy is to be determined.

10. The application method of the system for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training according to claim 9, characterized in that, The score of each pain area in step S1 is obtained through the following steps: S1.

1. The patient changes from the prone position to the standing position; S1.

2. The patient performs two-dimensional lumbar flexion and extension movements in the standing position; using the visual pain rating scale, record the first pain value of the pain area; S1.

3. The patient performs a three-dimensional left lumbar flexion movement without scoliosis in the standing position; using a visual pain rating scale, record the second pain value in the pain area; S1.

4. The patient performs a three-dimensional right lumbar flexion movement without scoliosis in the standing position; using a visual pain rating scale, record the third pain value in the pain area; S1.

5. The patient performs a clockwise lumbar rotation movement in the standing position; using a visual pain rating scale, record the fourth pain value in the pain area; S1.

6. The patient performs a counterclockwise lumbar rotation movement in the standing position; using a visual pain rating scale, record the fifth pain value in the pain area; S1.

7. Obtain the single descriptive pain value in the pain area; the single descriptive pain value is the average of the absolute values of the first pain value, the second pain value, the third pain value, the fourth pain value, and the fifth pain value.

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