System for treating chronic low back pain by synergistic effect of massage and whole-body vibration training

Abstract

The application discloses a kind of massage and whole body vibration training synergistic effect treatment chronic low back pain system, including patient information registration and management module, chronic pain assessment module, treatment effect assessment module, data analysis and feedback module, vibration training control terminal and massage treatment and guidance module;Through guiding patient to complete standardization waist action and record each posture under the pain score, determine main pain area in combination with Pareto analysis method, and utilize the score data in multiple treatments, construct mean and standard deviation model, and then realize the normal distribution fitting of pain change and curative effect determination;Massage and vibration training are linked through system, data intercommunication, realize the standardization of treatment process, intelligent and personalized intervention, effectively improve the rehabilitation efficiency of chronic low back pain patient.The application has the advantages of complete structure, scientific evaluation, precise intervention, etc., and is suitable for the popularization and application in the field of rehabilitation medicine and clinical physical therapy.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical devices and treatment technology, in particular to a system for treating chronic low back pain through the synergistic effect of massage and whole body vibration training. BACKGROUND

[0002] Chronic low back pain (CLBP) is one of the most common musculoskeletal diseases worldwide, characterized by recurrent or persistent pain in the lumbar region, lasting more than 12 weeks, which seriously affects the quality of life and social labor capacity of patients. Its pathogenesis is complex, involving multiple structural factors such as muscles, ligaments, intervertebral discs, joints, and nervous system, and there is no uniform treatment standard. Traditional drug therapy can relieve pain, but long-term use can easily produce drug resistance and adverse reactions, and non-pharmacological interventions have gradually become an important direction for the treatment of chronic low back pain.

[0003] Massage therapy, as one of the traditional Chinese medicine treatment methods, has the effects of dredging meridians, relieving muscle spasm, and improving local blood circulation, and has been widely used in the rehabilitation process of various chronic musculoskeletal diseases. Studies have shown that massage can effectively relieve soft tissue tension and improve 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 vibration of specific frequency and amplitude, promotes muscle contraction, activates deep core muscle groups, and improves neuromuscular control. Recent studies have shown that WBVT has significant effects on improving posture control, enhancing muscle strength and stability, and has certain potential for relieving chronic low back pain and reducing recurrence.

[0005] However, current massage and WBVT are mostly used as single intervention methods, and there is limited research on their synergistic treatment of chronic low back pain. Massage mainly improves soft tissue state and relieves pain, while WBVT emphasizes the training of motor function and neural control, and the two have complementary mechanisms. Therefore, exploring the synergistic mechanism of massage and whole body vibration training and constructing a systematic combined treatment plan have important clinical promotion value and research significance. SUMMARY

[0006] To solve the above problems, the present application provides a system for treating chronic low back pain through the synergistic effect of massage and whole body vibration training, comprising: 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 therapy and guidance module 7.

[0007] The patient information registration and management module 1 is used to register and manage the basic information of patients, including:

[0008] The case record unit 1-1 is used to record the medical history, diagnosis and treatment of patients;

[0009] The patient information database 1-2 is used to store the patient information recorded by the case record unit;

[0010] The vibration training data unit 1-3 is used to record the data of patients during whole-body vibration training, including vibration frequency, vibration amplitude and training time;

[0011] The massage treatment record unit 1-4 is used to record the specific operation, technique used and duration of each massage treatment of patients.

[0012] Further, 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.

[0013] Further, the warning unit 2-1 analyzes the vibration parameters that cause abnormal pain score values based on the pain score matrix.

[0014] Further, the abnormal pain score value warning is executed by the following steps:

[0015] 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;

[0016] For each group of pain scores under the same vibration parameters, calculate the mean and standard deviation to construct a normal distribution model of pain scores under the vibration parameters;

[0017] When new pain score data is added, if the difference from the mean exceeds three standard deviations, it is determined to be an abnormal score, and a warning prompt is triggered.

[0018] Further, the treatment effect evaluation module 4 is used to evaluate the treatment effect of massage and whole-body vibration training; the treatment effect evaluation module 4 includes the following sub-units:

[0019] The efficacy evaluation algorithm unit 4-1 is used to calculate the efficacy according to the change of pain score, and to judge whether the treatment achieves the expected effect;

[0020] The efficacy data storage unit 4-2 is used to record and save the results of each efficacy evaluation, facilitating subsequent backtracking analysis and treatment adjustment;

[0021] An improvement rate calculation unit 4-3 is configured to calculate the improvement rate of the pain score before and after the treatment. The calculation method of the improvement rate is to subtract the pain score after the treatment from the pain score before the treatment, and then divide the result by the score before the treatment, and convert the result into a percentage;

[0022] A significant effect rate calculation unit 4-4 is configured to evaluate whether the treatment effect is significant. The calculation method of the significant effect rate is to subtract the reference score of the clinically normal painless patient from the pain score after the treatment, and then divide the result by the score after the treatment, and convert the result into a percentage;

[0023] A therapeutic effect decline rate calculation unit 4-5 is configured to evaluate the difference between the improvement rate and the significant effect rate. The calculation method of the therapeutic effect decline rate is to subtract the significant effect rate from the improvement rate, and then divide the result by the improvement rate, and convert the result into a percentage, which is used to reflect the relative proportion of insufficient therapeutic effect.

[0024] Further, the data analysis and feedback module 5 is configured to analyze the data of the vibration training and the massage treatment; the data analysis and feedback module 5 comprises:

[0025] A correlation analysis unit 5-1 is configured to analyze the correlation between the vibration training parameters and the pain score;

[0026] A data chart visualization unit 5-2 is configured to display the analysis results in the form of a chart;

[0027] An analysis result generation unit 5-3 is configured to generate a report according to the analysis results for the doctor to refer to.

[0028] Further, the vibration training control terminal 6 is configured to control the vibration parameters of the vibration training equipment; the vibration training control terminal 6 comprises:

[0029] A vibration program list unit 6-1 is configured to store and manage different vibration programs, and control the vibration equipment according to the selected treatment scheme;

[0030] A manual adjustment unit 6-2 is configured to manually adjust the vibration parameters during the treatment according to the reaction of the patient;

[0031] A vibration parameter input unit 6-3 is configured to input the vibration parameters into the system so as to interact with other modules.

[0032] Further, the massage treatment and guidance module 7 is configured to guide the operation of the massage therapist during the treatment; the massage treatment and guidance module 7 comprises:

[0033] A manipulation operation storage unit 7-1 is configured to store different massage manipulations and specific operations thereof;

[0034] A manipulation selection unit 7-2 is configured to select appropriate manipulations according to the specific condition of the patient and the treatment scheme.

[0035] Voice or text guidance unit 7-3: for providing operation guidance to the massage therapist, ensuring consistency and accuracy of the manipulation.

[0036] The application also provides a method for applying the system for treating chronic low back pain by coordinating massage and whole-body vibration training, which specifically comprises:

[0037] S1, pain assessment:

[0038] Based on the visual pain rating scale provided by the system and the waist movement detection device, the chronic pain assessment module uses the Pareto analysis method to determine the main pain area and pain score.

[0039] S2, determination of the main pain area:

[0040] According to the Pareto analysis method, the main pain area and the secondary pain area are determined; specifically including:

[0041] S2.1, according to the pain score of each area, from large to small, form a descending sequence;

[0042] S2.2, each item in the sorted order is marked as the first item, the second item, the third item, and numbered with natural numbers;

[0043] S2.3, add all the pain scores to get the total score value;

[0044] S2.4, starting from the first item in the sorted sequence, add each score one by one, and divide the cumulative result by the total score value, then multiply by one hundred, to get the cumulative percentage corresponding to each item;

[0045] S2.5, compare the cumulative percentage of each item, select the first few items that make the cumulative percentage reach or exceed eighty percent, and the areas corresponding to the first three items are the main pain areas.

[0046] S3, mean calculation:

[0047] For each main pain area, collect all the pain scores of the area, add these scores and divide by the number of scores to get the average score of the area.

[0048] S4, standard deviation calculation:

[0049] Based on the average value obtained in S3, calculate the difference between each score and the average value, square the difference, add it up, divide by the number of scores minus one, and finally take the square root to get the score standard deviation of the area.

[0050] S5, efficacy evaluation:

[0051] A normal distribution model was established based on the mean score and standard deviation of each major pain area. If the decrease in the score after the last treatment compared with the mean score was lower than the set decrease threshold, the therapeutic effect of that area was judged to be ineffective. If the decrease was higher than the threshold and the standard deviation of the score in that area was lower than the set standard deviation threshold, the therapeutic effect of that area was judged to be effective. Otherwise, the therapeutic effect was judged to be pending.

[0052] Furthermore, the single pain score in step S1 is obtained by the following steps:

[0053] S1.1. The patient changes from prone position to standing position;

[0054] S1.2. The patient performs two-dimensional lumbar flexion and extension exercises in a standing position. The first pain value in the painful area is recorded using a visual pain rating scale.

[0055] S1.3. The patient performs a three-dimensional left lumbar flexion exercise without scoliosis in a standing position. The second pain value in the painful area is recorded using a visual pain scale.

[0056] S1.4. The patient performs three-dimensional right lumbar flexion exercises without scoliosis in a standing position. The third pain value in the pain area is recorded using a visual pain scale.

[0057] S1.5. The patient performs clockwise lumbar rotation in a standing position. Using a visual pain scale, record the pain value in the fourth area of ​​pain.

[0058] S1.6. The patient performs counterclockwise circumcision of the waist while standing. Using a visual pain scale, record the pain value in the fifth area of ​​pain.

[0059] S1.7. Obtain a single described pain value for 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.

[0060] Beneficial effects

[0061] The system proposed in the present invention combines massage with whole-body vibration training to treat chronic low back pain. It breaks through the limitations of traditional single means of chronic pain intervention, such as limited effect, strong subjectivity of pain assessment, 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.

[0062] Firstly, the system realizes comprehensive recording from case records, historical diagnosis and treatment information, vibration training process parameters, to each massage manipulation and operation details through the patient information registration and management module, which provides solid data support for the formulation of personalized treatment plan. Especially, the automatic collection and management of key data such as vibration frequency, amplitude and training time in the module ensure the traceability and standardization of the training process.

[0063] Secondly, the system realizes multi-dimensional dynamic identification of the pain level of the patient through the chronic pain assessment module. By letting the patient perform standardized waist movements in different directions and angles, and scoring the pain area in real time after each movement with the help of a visual pain score table, pain response data covering multiple movement modes are obtained. The module further integrates an early warning mechanism: when the system identifies that the pain score under a certain treatment parameter deviates significantly from the previous distribution range, it automatically issues a warning, prompting the doctor that the parameter may cause discomfort to the patient, ensuring the safety and adaptability of the treatment.

[0064] Furthermore, the system innovatively introduces a correlation modeling mechanism between pain scores and treatment parameters. By integrating and analyzing historical score data, the system can automatically analyze the typical pain response pattern under a specific vibration parameter and build a normal response range model. Once a new score deviates significantly from the historical average, the system can judge it as abnormal and automatically prompt, effectively assisting the doctor in judging the efficacy trend and adjusting the strategy.

[0065] In terms of efficacy evaluation, the system builds a complete efficacy calculation model. The system can automatically compare the pre-treatment and post-treatment pain scores and calculate the improvement rate, significant efficiency and efficacy decline rate to comprehensively measure the strength and stability of the intervention effect. Through automatic data analysis, the doctor can intuitively understand the changes in the rehabilitation curve under different treatment courses, providing a reference for optimizing the combination of massage manipulation or vibration parameters. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 It is a schematic diagram of the first-level structure of the system of the present application;

[0067] Figure 2 It is a schematic diagram of the second-level structure of the patient information registration and management module of the system of the present application;

[0068] Figure 3 It is a schematic diagram of the second-level structure of the chronic pain assessment module of the system of the present application;

[0069] Figure 4 It is a schematic diagram of the second-level structure of the treatment effect evaluation module of the system of the present application;

[0070] Figure 5 It is a schematic diagram of the second-level structure of the data analysis and feedback module of the system of the present application;

[0071] Figure 6 The secondary structure diagram of the vibration training control terminal of the system of the present application;

[0072] Figure 7 The secondary structure diagram of the massage therapy and guidance module of the system of the present application. DETAILED DESCRIPTION

[0073] In order to deepen the understanding of the present application, the present application will be further described in conjunction with the embodiments below, which are only used to explain the present application and do not constitute a limitation on the protection scope of the present application.

[0074] Embodiment 1

[0075] According to Figure 1 The present embodiment provides a system for treating chronic low back pain through the synergistic effect of massage and whole-body vibration training, which comprises:

[0076] 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 therapy and guidance module 7;

[0077] As shown in Figure 1 The patient information registration and management module 1 is used to register and manage the basic information of patients, which comprises:

[0078] a case record unit 1-1 for recording the medical history, diagnosis and treatment of patients;

[0079] a patient information database 1-2 for storing the patient information recorded by the case record unit;

[0080] a vibration training data unit 1-3 for recording the data of patients during whole-body vibration training, including vibration frequency, vibration amplitude and training time;

[0081] a massage therapy record unit 1-4 for recording the specific operation, manipulation and duration of each massage therapy for patients.

[0082] As shown in Figure 3 The chronic pain assessment module 2 comprises a warning unit 2-1 which triggers a warning signal by detecting an abnormal pain score value during vibration training.

[0083] The warning unit 2-1 analyzes the vibration parameters that cause abnormal pain score values based on a pain score matrix; the abnormal pain score value warning is executed through the following steps:

[0084] For each patient, record the vibration parameters and corresponding pain scores of each treatment to form a mapping dataset of vibration parameters and pain scores;

[0085] For each group of pain scores under the same vibration parameters, calculate the mean and standard deviation to construct a normal distribution model of pain scores under the vibration parameters;

[0086] When new pain score data is added, if the difference from the mean exceeds three standard deviations, it is determined to be an abnormal score and a warning prompt is triggered.

[0087] The treatment effect evaluation module 4 is used to evaluate the treatment effect of massage and whole-body vibration training; as Figure 4 shown, the treatment effect evaluation module 4 includes:

[0088] The efficacy evaluation algorithm unit 4-1 calculates the efficacy according to the change in pain scores;

[0089] The efficacy data storage unit 4-2 is used to store the results of efficacy evaluation;

[0090] The improvement rate calculation unit 4-3 is used to calculate the improvement rate before and after treatment, which is the change ratio of pain scores before and after treatment. The calculation method is: taking the pain score before treatment as the reference, subtracting the post-treatment score from the pre-treatment score, dividing by the pre-treatment score, and converting the result to a percentage to obtain the improvement rate value.

[0091] The significant effect rate calculation unit 4-4 is used to calculate the significant effect rate after treatment. The calculation method is: taking the post-treatment pain score as the reference, calculating the difference between it and the reference score of clinically pain-free patients, dividing by the post-treatment score, and finally converting the result to a percentage to evaluate whether the treatment has achieved a significant effect close to the normal pain-free state.

[0092] The efficacy decline rate calculation unit 4-5 is used to calculate the difference ratio between the improvement rate and the significant effect rate. The calculation method is: subtracting the significant effect rate from the improvement rate, dividing the resulting difference by the improvement rate, and converting the result to a percentage to obtain the efficacy decline rate, which reflects the relative proportion of the improvement effect that does not meet the clinical significant effect standard.

[0093] The data analysis and feedback module 5 is used to analyze the data of vibration training and massage treatment; as Figure 5 shown, the data analysis and feedback module 5 includes:

[0094] The correlation analysis unit 5-1 is used to analyze the correlation between vibration training parameters and pain scores;

[0095] The data chart visualization unit 5-2 is used to display the analysis results in the form of charts;

[0096] Analysis result generating unit 5-3: used to generate a report based on the analysis results for the doctor's reference.

[0097] The vibration training control terminal 6 is used to control the vibration parameters of the vibration training device; Figure 6 As shown, the vibration training control terminal 6 includes:

[0098] 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;

[0099] Manual adjustment unit 6-2: used to manually adjust vibration parameters according to the patient's response during treatment;

[0100] Vibration parameter input unit 6-3: used to input vibration parameters into the system so as to exchange data with other modules.

[0101] The massage therapy and guidance module 7 is used to guide the massage therapist's operation during the treatment process; Figure 7 As shown, the massage therapy and guidance module 7 includes:

[0102] Manipulation operation storage unit 7-1: used to store different massage techniques and their specific operations;

[0103] Manipulation selection unit 7-2: used to select appropriate manipulations based on the patient's specific condition and treatment plan;

[0104] Voice or text guidance unit 7-3: used to provide operation guidance to massage therapists to ensure the consistency and accuracy of the techniques.

[0105] Example 2

[0106] This embodiment provides, based on the first embodiment, an application method of the system for treating chronic low back pain by synergistic effects of massage and whole body vibration training, comprising the following steps:

[0107] S1. Pain assessment: The chronic pain assessment module 2 is used to determine the main pain area using the Pareto analysis method. The pain score of each pain area is determined based on the visual pain scoring table and waist movement detection equipment provided by the system. The single pain score is obtained by the following steps:

[0108] S1.1. The patient changes from prone position to standing position;

[0109] S1.2. The patient performs two-dimensional lumbar flexion and extension exercises in a standing position. The first pain value in the painful area is recorded using a visual pain rating scale.

[0110] S1.3, the patient performs a three-dimensional left lateral flexion of the lumbar spine without lateral bending in standing position; the second pain value of the pain area is recorded by using the visual pain score table;

[0111] S1.4, the patient performs a three-dimensional right lateral flexion of the lumbar spine without lateral bending in standing position; the third pain value of the pain area is recorded by using the visual pain score table;

[0112] S1.5, the patient performs a clockwise rotation of the lumbar spine in standing position; the fourth pain value of the pain area is recorded by using the visual pain score table;

[0113] S1.6, the patient performs a counterclockwise rotation of the lumbar spine in standing position; the fifth pain value of the pain area is recorded by using the visual pain score table;

[0114] S1.7, the single description pain value of the pain area is obtained; the single description pain value is the average value 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.

[0115] S2, determination of the main pain area: according to the Pareto analysis method, the main pain area and the secondary pain area are determined; the Pareto analysis method specifically includes:

[0116] S2.1, according to the score values of each pain area, the sorting from high to low is performed to form a descending sequence composed of area numbers and corresponding scores;

[0117] S2.2, the descending sequence is sequentially numbered according to the sorting order to form a labeled sequence with natural number sequence;

[0118] S2.3, all pain score values are accumulated to obtain a total pain score;

[0119] S2.4, starting from the first item of the sorting sequence, the score values of each item are sequentially accumulated, and the accumulated values of each step are divided by the total score to obtain a cumulative percentage sequence;

[0120] S2.5, the above cumulative percentage is compared with eighty percent, and the top three area numbers in the sequence meeting the percentage of not less than eighty percent are the main pain areas.

[0121] S3, for each main pain area, the pain scores in the whole treatment process are collected, and the average value of all scores is calculated, i.e. the average value sequence of the area is obtained by adding all scores and dividing by the number of scores.

[0122] S4, on the basis of obtaining the average value, the sample standard deviation between each score and its average value is calculated to form a standard deviation sequence.

[0123] S5, based on the mean and standard deviation of the score of each main pain area, a normal distribution model is constructed. The mean of the normal distribution of the area is taken as the representative score after the last treatment, if the decrease of the mean relative to the score before treatment is less than the set threshold, it is determined that the treatment of the area is ineffective; if the decrease is higher than the threshold, and the standard deviation of the score of the area is lower than the preset standard deviation threshold, it is determined that the treatment is effective; otherwise, it is determined that the treatment is pending.

[0124] Embodiment 3

[0125] The embodiment provides a system for treating chronic low back pain by cooperation of massage and whole-body vibration training, aiming to realize whole-process management of chronic low back pain patients from pre-diagnosis information collection, pain assessment, individualized intervention, process control, data analysis to treatment effect evaluation, and improve rehabilitation effect through cooperation of massage and vibration training.

[0126] The system of the embodiment is composed of multiple functional modules running cooperatively, including: a patient information registration and management module, a chronic pain assessment module, a vibration training device, a treatment effect evaluation module, a data analysis and feedback module, a vibration training control terminal, and a massage treatment and guidance module. The modules are logically closed through data linkage, improving the scientificity and systematicness of the treatment.

[0127] 1. Patient information registration and management module

[0128] Before the patient enters the treatment process, the system first collects and manages the basic information of the patient through the information registration and management module. The module includes the following subunits:

[0129] Case record unit: used for systematically recording the personal information, past medical history, clinical examination results and previous treatment plan of the patient, providing the complete health record of the patient for the doctor. The specific information includes the first onset time, the duration of chronic low back pain, whether accompanied by other musculoskeletal diseases, whether the patient has received massage, physiotherapy, drug or surgical intervention in the past, etc.

[0130] Patient information database: all case information is stored and structuredly managed, supporting incremental input and calling of multiple treatment records, facilitating subsequent tracking and comparison.

[0131] Vibration training data unit: during each whole-body vibration training process, the system automatically records the key parameters of the vibration device operation, such as frequency, amplitude, duration, etc., and associates the patient's identity information, ensuring that the data is relevant and interpretable when analyzed.

[0132] Massage treatment record unit: In each massage treatment session, the therapist needs to fill in the types of massage techniques used, the action area, the intensity of the technique, the operation time, etc. through this unit. The system supports standardized input and template matching, effectively improving the completeness of treatment records.

[0133] Through the above data collection and management module, the system forms a "patient-centered" digital archive, providing an important basis for subsequent intervention and individualized regulation.

[0134] 2. Chronic pain assessment module

[0135] Before the formal start of treatment, the system conducts multi-dimensional perception and analysis of the patient's current pain state through the pain assessment module.

[0136] First, the system guides the patient to complete a variety of standardized waist movements in standing position, such as forward bending, backward stretching, left bending, right bending, clockwise rotation and counterclockwise rotation, etc. After completing each movement, the patient marks the current most obvious pain level on the visual pain rating scale according to his own feelings. The system automatically records the score and matches it with the corresponding movement.

[0137] 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 warning mechanism. When the system identifies that the score after a certain movement is significantly different from the patient's past score under similar training conditions, it will automatically trigger an abnormal prompt. For example, if the patient's pain response is significantly enhanced at a certain frequency or movement, the system will issue a prompt through this module to remind the doctor to re-examine the appropriateness of the current treatment parameters.

[0138] The module also has built-in score pattern analysis logic, which can identify the regularity of pain concentration areas, such as whether they repeatedly occur in certain movements or are concentrated in a certain side of the waist area, thereby assisting in determining the cause of pain and guiding the adjustment of subsequent treatment strategies.

[0139] 3. Vibration training equipment and control terminal

[0140] The system is equipped with intelligent whole-body vibration training equipment, whose operation is managed by a dedicated control terminal module.

[0141] This terminal contains the following functions:

[0142] Vibration program list unit: A variety of rehabilitation training modes are preset, such as low-frequency relaxation, high-frequency activation, cross-rhythm, etc. The therapist can choose the corresponding program according to the patient's specific situation, or change the program in the subsequent process.

[0143] Manual adjustment unit: During treatment, the therapist can fine-tune parameters such as frequency, amplitude, etc. based on the patient's immediate feedback, ensuring that the device operates within the patient's tolerance range and avoids excessive stimulation.

[0144] Parameter input and data linkage unit: All operating parameters can be transmitted to the database in real time, forming a linkage with modules such as pain score, massage record, etc. to support subsequent data analysis and efficacy evaluation.

[0145] Through the vibration control terminal, the entire vibration treatment process is adjustable, controllable, and traceable, facilitating fine-tuned adjustments during implementation.

[0146] 4. Massage therapy and guidance module

[0147] To ensure the professionalism and consistency of massage therapy, the system sets up a massage guidance module to assist therapists in scientific operation:

[0148] Manipulation operation storage unit: The system embeds standard procedures and operation details of various massage techniques, including rolling, grasping, pressing and rubbing, etc., and records their indications and contraindications.

[0149] Manipulation selection unit: Based on the patient's pain area, pain type, and past treatment response, the system intelligently recommends appropriate manipulation combinations to assist therapists in developing operation plans.

[0150] Guidance prompt unit: The system provides therapists with real-time guidance on manipulation sequence, operation force range, operation duration suggestion, etc. through voice broadcast or text prompt, ensuring a standardized and orderly treatment process and reducing the effect fluctuations caused by individual differences in operation.

[0151] This module improves the standardization of massage therapy in the system and also provides auxiliary support for actual scenarios where therapists have varying qualifications.

[0152] 5. Treatment effect evaluation module

[0153] After a certain period of treatment, the system automatically compares and analyzes multiple dimensional data to evaluate the synergistic effect of massage and vibration training.

[0154] This module considers the changes in pre- and post-treatment pain scores and automatically generates multiple index values such as overall improvement amplitude, whether significant efficacy is achieved, efficacy sustainability, and differences between different schemes. The system also supports regional analysis for each major pain area, allowing doctors to clearly identify which parts have improved significantly and which parts still need focused intervention.

[0155] At the same time, all results will be stored in the efficacy data storage unit, and the system will automatically mark them as this cycle's treatment report and automatically compare them with previous treatment results to form a rehabilitation trend chart.

[0156] 6. Data analysis and feedback module

[0157] This module performs statistical analysis and visual presentation of all core data during the treatment process.

[0158] Its functions include:

[0159] Parameter and score correlation analysis: the system automatically analyzes the correspondence between vibration frequency, amplitude and pain relief, providing a basis for individualized parameter adjustment.

[0160] Chart generation and display: score changes, treatment progress and other data are displayed in the form of line charts, bar charts, heat maps, etc. for doctors or patients to view.

[0161] Automatic generation of result reports: the analysis results will be automatically summarized in a system format to generate a treatment summary report for easy archiving and communication.

[0162] In summary, the system provided by the embodiment realizes the deep collaboration of massage and whole-body vibration training in the treatment of chronic low back pain and data closed-loop management, optimizes the treatment path, and improves the evaluability of treatment efficacy and the safety of the treatment process, which has significant clinical application and promotion value.

[0163] The basic principles, main features and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for treating chronic low back pain by the synergistic effect of massage and whole-body vibration training, characterized by, Comprising the following steps: S1, pain assessment: using the chronic pain assessment module, using the pareto analysis method to determine the pain area; combined with the visual pain score table and the action detection device, the score of each pain area is obtained; the score of each pain area is obtained by the following steps: S1.1, the patient changes from prone position to standing position; S1.2, the patient performs two-dimensional waist flexion and extension movement in standing position; using the visual pain score table, record the first pain value of the pain area; S1.3, the patient performs three-dimensional waist left flexion movement without lateral bending in standing position; using the visual pain score table, record the second pain value of the pain area; S1.4, the patient performs three-dimensional waist right flexion movement without lateral bending in standing position; using the visual pain score table, record the third pain value of the pain area; S1.5, the patient performs waist clockwise rotation movement in standing position; using the visual pain score table, record the fourth pain value of the pain area; S1.6, the patient performs waist counterclockwise rotation movement in standing position; using the visual pain score table, record the fifth pain value of the pain area; S1.7, the single description pain value of the pain area is obtained; the single description pain value is the average value 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; S2, determination of main pain area: perform pareto analysis method according to the following steps, divide the main pain area and the secondary pain area: S2.1: according to the score of each pain area from high to low, form a descending sequence to determine the pain area set; S2.2: the descending sequence is marked as a natural number increasing sequence in the order of large to small; S2.3: the sum of the pain values of the sequence elements is obtained; S2.4: calculate the cumulative score ratio sequence, that is, the percentage of the previous score sum in the total score; S2.5: take the first three areas with cumulative score ratio not less than 80% as the main pain area; S3, determine the pain score set of the main pain area, and obtain the mean value sequence; S4, based on all pain scores for any main pain area, the sample standard deviation is obtained, and the standard deviation sequence is obtained; S5, curative effect judgment: construct the normal distribution with mean and standard deviation as parameters, if the mean value decreases by less than the threshold value, it is judged as ineffective; if the mean value decreases by more than the threshold value and the standard deviation is lower than the threshold value, it is judged as effective; otherwise, it is judged as pending.

2. A system for the treatment of chronic low back pain by the synergistic effect of massage and whole-body vibration training, for carrying out the method as claimed in claim 1, characterized in that, Comprise: patient information registration and management module (1), chronic pain assessment module (2), vibration training equipment (3), treatment effect evaluation module (4), data analysis and feedback module (5), vibration training control terminal (6) and massage treatment and guidance module (7); The patient information registration and management module (1) is used for registering and managing the basic information of patients, comprising: Case record unit (1-1) for recording patient medical history, diagnosis and treatment; patient information database (1-2) for storing patient information recorded by the case record unit; vibration training data unit (1-3) for recording data of patients in whole body vibration training process, including vibration frequency, vibration amplitude and training time; The massage treatment record unit (1-4) is used for recording the specific operation of each massage treatment of the patient, the used manipulation and the duration; The treatment effect evaluation module (4) is used for evaluating the treatment effect of the massage and the whole body vibration training; the treatment effect evaluation module (4) comprises: The curative effect evaluation algorithm unit (4-1) is used for calculating the curative effect according to the change of the pain score; The curative effect data storage unit (4-2) is used for storing the result of the curative effect evaluation; The improvement rate calculation unit (4-3) is used for calculating the improvement rate of the pain score before and after the treatment; The specific calculation method is that the pain score before the treatment is taken as a reference value, the score before the treatment is subtracted from the score after the treatment, then divided by the score before the treatment, and the result is converted into a percentage to obtain the improvement rate; The significant efficiency calculation unit (4-4) is used for evaluating whether the treatment reaches the clinical painless standard; the specific calculation method is that the difference between the pain score after the treatment and the reference score of the patient in the clinical painless state is calculated, then divided by the pain score after the treatment, and converted into a percentage to obtain the significant efficiency; The curative effect decline rate calculation unit (4-5) is used for evaluating the deviation degree between the improvement rate and the significant efficiency; the specific calculation method is that the improvement rate is subtracted from the significant efficiency, then the obtained difference is divided by the improvement rate, and converted into a percentage to obtain the curative effect decline rate, which is used for reflecting the proportion of the improvement effect that does not reach the clinical significant efficiency standard.

3. The system for treating chronic low back pain through the synergy of massage and whole-body vibration training according to claim 2, characterized in that, The chronic pain evaluation module (2) comprises a prewarning unit (2-1) which issues a prewarning if an abnormal pain score value is detected during the vibration training.

4. The system for treating chronic low back pain in coordination with massage and whole-body vibration training according to claim 3, characterized in that, The prewarning unit (2-1) analyzes the vibration parameters causing the abnormal pain score value based on the prewarning of the abnormal pain score value.

5. The system for treating chronic low back pain in coordination with massage and whole-body vibration training according to claim 4, characterized in that, The prewarning if an abnormal pain score value is detected during the vibration training is executed through the following steps: For each patient, the vibration parameters and the corresponding pain score of each treatment are recorded to form a mapping data set of the vibration parameters and the pain score; For each group of pain scores under the same vibration parameters, the mean value and the standard deviation are calculated to construct a normal distribution model of the pain score under the vibration parameters; When new pain score data is added, if the difference from the mean value exceeds three times the standard deviation, it is determined as an abnormal score, and a prewarning is issued.

6. The system for treating chronic low back pain in coordination with massage and whole-body vibration training according to claim 5, characterized in that, The data analysis and feedback module (5) is used for analyzing the data of the vibration training and the massage treatment; the data analysis and feedback module (5) comprises: The correlation analysis unit (5-1) is used for analyzing the correlation between the vibration training parameters and the pain score; The data chart visualization unit (5-2) is used for displaying the analysis result in the form of a chart; The analysis result generation unit (5-3) is used for generating a report according to the analysis result.

7. The system for treating chronic low back pain in coordination with massage and whole-body vibration training according to claim 6, characterized in that, The vibration training control terminal (6) is used for controlling the vibration parameters of the vibration training equipment (3); the vibration training control terminal (6) comprises: The vibration program list unit (6-1) is used for storing and managing different vibration programs to control the vibration equipment according to the selected treatment scheme; The manual adjustment unit (6-2) is used for manually adjusting the vibration parameters according to the reaction of the patient during the treatment; Vibration parameter input unit (6-3): for inputting vibration parameters into the system to interact with other modules.

8. The system for treating chronic low back pain in coordination with massage and whole-body vibration training according to claim 7, characterized in that, The massage therapy and guidance module (7) is used to guide the operation of the massage therapist during the treatment process; the massage therapy and guidance module (7) comprises: Manipulation storage unit (7-1): for storing different massage manipulations and their specific operations; Manipulation selection unit (7-2): for selecting appropriate manipulation according to the specific situation of the patient and the treatment plan; Voice or text guidance unit (7-3): for providing operation guidance to the massage therapist to ensure the consistency and accuracy of the manipulation.

Images