Quantitative massage method for cervical muscle strain patient based on pressure sensing feedback
By using a quantitative massage method based on pressure sensor feedback, the lack of quantitative assessment and personalized adaptation in neck muscle strain massage has been solved, resulting in a significant improvement in safety and efficacy.
Patent Information
- Application Number
- CN202610067344.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-19
- Publication Date
- 2026-03-20
AI Technical Summary
In existing technologies, massage rehabilitation for neck muscle strain lacks quantitative assessment, real-time feedback, and personalized adaptation, resulting in unstable massage effects and insufficient safety.
A quantitative massage method based on pressure sensor feedback is adopted. The neck muscle data is collected through pressure sensors to generate personalized massage parameters, and the intensity is monitored and adjusted in real time. The massage operation is carried out in stages in combination with patient information and muscle condition.
It enables the quantification and personalization of the neck muscle strain massage process, improves the scientific nature of safety and efficacy assessment, and reduces the risk of overstimulation.
Smart Images
Figure CN121694984A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of traditional Chinese medicine massage rehabilitation, and in particular to a quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback. BACKGROUND
[0002] Cervical muscle strain is a high-incidence problem of muscle-skeletal system functional imbalance in modern population, and its core feature is the persistent tension, stiffness and pain of the neck muscle tissue. Massage is often used in clinical rehabilitation to intervene, achieve muscle tension regulation, blood circulation improvement and pain relief through manual stimulation. At present, massage rehabilitation for cervical muscle strain mainly relies on manual massage or traditional mechanical massage equipment. Manual massage highly depends on the experience of the operator in the implementation process, and the intensity, frequency and action duration lack quantitative basis, and there are obvious differences between different operators, which makes it difficult to standardize and stabilize the massage effect. Traditional mechanical massage equipment usually adopts a fixed parameter mode, which is difficult to dynamically adjust the massage intensity, frequency and rhythm according to the real state of the patient's cervical muscle, and cannot meet the differences in muscle thickness, tension and course of disease of different individuals. In addition, the discomfort reaction of the patient during the massage process cannot be sensed by the equipment in real time, which makes the massage process have the potential risk of overstimulation.
[0003] Under the existing technical conditions, the massage operation lacks an initial assessment mechanism directly related to the muscle state, a real-time feedback mechanism and an objective quantitative method for treatment effect, which makes the setting of massage parameters often rely too much on subjective experience. The pressure-deformation response characteristics of the cervical muscle cannot be obtained before massage, the pressure overload cannot be regulated in real time during massage, and whether the massage is effective cannot be judged by quantitative indicators after massage. These limitations make the massage rehabilitation for cervical muscle strain have obvious deficiencies in safety, individualized adaptation ability and efficacy tracking. Therefore, there is an urgent need for a quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback to improve the safety of massage operation and the scientificity of treatment effect evaluation. SUMMARY
[0004] In view of the above, the present application provides a quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback.
[0005] A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback, comprising the following steps: S1: collecting initial pressure-deformation data of the patient's cervical muscle through a pressure sensor; S2: generating individualized massage parameters based on the initial pressure-deformation data and patient information, the individualized massage parameters including an initial massage intensity range and a basic frequency; S3: performing a phased massage operation according to the individualized massage parameters, the phased massage operation including a relaxation phase, a deep intervention phase and a soothing phase. S4: During the fractional massage operation, real-time monitoring of pressure data, when the pressure data exceeds the safety threshold, dynamically adjusting the massage parameters; S5: After the massage operation, the post-massage pressure-deformation data of the patient's neck muscles is collected; S6: Based on the initial pressure-deformation data and the post-massage pressure-deformation data, the muscle elasticity recovery rate is calculated, and the massage effect is evaluated according to the muscle elasticity recovery rate.
[0006] Optionally, the S1 specifically comprises: S11: The operator wears a massage glove integrated with a pressure sensor array, which is distributed on the contact part of the glove and has a sampling accuracy of 0.1N; S12: In the patient's sitting or prone position and the relaxed position of the neck muscles, the massage glove is contacted with the patient's neck in multiple preset areas, including the upper trapezius muscle, the sternocleidomastoid muscle, and the levator scapulae muscle; S13: Each preset area is lightly pressed at a predetermined frequency to collect the deformation data under the action of 0.5N-5N initial pressure, and an initial pressure-deformation data set is formed.
[0007] Optionally, the S2 specifically comprises: S21: Obtain the patient's age, neck muscle strain course type, and pain score from the patient information, specifically, divide the patient's age into preset age segments, divide the neck muscle strain course into acute and chronic stages, and divide the pain score into different pain levels according to the preset score interval, to obtain the corresponding age level, course type, and pain level; S22: Based on the initial pressure-deformation data obtained in S1, calculate the deformation under unit pressure for each preset area of the neck, and according to the preset muscle stiffness grading threshold, divide the muscle state of each preset area into different muscle tension levels; S23: Call the preset parameter mapping rule library to combine and match the patient's age level, course type, and pain level with the muscle tension level of each preset area, determine the corresponding initial massage intensity range according to the matching result, and select a basic frequency that matches the muscle tension level and the pain level within the initial massage intensity range, to generate personalized massage parameters for the current patient.
[0008] Optionally, the S22 specifically comprises: S221: For the initial pressure-deformation data collected in S1, mark the preset areas of the neck as the occipital muscle group, the neck extensor muscle group, and the neck flexor muscle group, and calculate the deformation under unit pressure for each data point in each preset area, the formula is: Wherein, represents the deformation of the i-th data point in the j-th preset area under the action of the initial pressure of kN. a unit pressure deformation variable of the region, represents a deformation variable of the region muscle generated under the initial force , and represents the pressure applied to the first region; S222: comparing the calculated with a preset muscle stiffness classification threshold value to identify the muscle tension level, in particular: when , it is classified as a high tension state; when , it is classified as a medium tension state; when , it is classified as a low tension state.
[0009] Optionally, the parameter mapping rule library comprises: S231: taking the patient's age level, disease course type, pain level, and muscle tension level of each preset region as input index parameters, wherein the age level includes young group, middle-aged group, and old-aged group, the disease course type includes acute phase and chronic phase; the pain level includes mild pain, moderate pain, and severe pain; the muscle tension level includes high tension state, medium tension state, and low tension state; S232: setting the combination relationship of the initial massage force range and the basic frequency in the parameter mapping rule library, and determining the corresponding parameters of each combination according to the mapping rule; S233: when generating the personalized massage parameters, according to the patient's age level, disease course type, pain level, and muscle tension level of each preset region, retrieve the matching mapping rule combination from the parameter mapping rule library, and output the corresponding initial massage force range and basic frequency.
[0010] Optionally, the S3 specifically comprises: S31: in the relaxation phase, the initial massage force range and the basic frequency in the personalized massage parameters generated by S2 are called, and 60%-80% of the initial massage force and 80% of the basic frequency are taken as control values to massage each preset neck region, the massage duration is 5-8 minutes, and the contact pressure of each point is monitored in real time through the pressure sensor to ensure that the fluctuation amplitude does not exceed ±0.3N; S32: in the deep intervention phase, for the regions with muscle tension level of medium and above, the massage force is adjusted to 90%-110% of the initial massage force, the frequency is maintained at the basic frequency, the massage duration is 10-15 minutes, and the reaction force data is continuously collected during the massage, when the reaction force decreases by more than 20% compared with the initial value, the massage operator is prompted to reduce the current force by 10%-15%; S33: During the soothing phase, restore the massage intensity and frequency control values to the relaxation phase, and gradually reduce the massage intensity to 50% of the initial massage intensity. The duration is 3 to 5 minutes to complete the massage operation.
[0011] Optionally, S4 specifically includes: S41: During the phased massage operation, pressure data of the massage contact points are collected at a frequency of 30 sets per second, and the pressure data is compared with the set safety threshold in real time. S42: When the pressure value at a certain instant is... Exceeding the safety threshold If the current intensity is not reached, an adjustment will be triggered immediately, reducing the current massage intensity proportionally within 100ms. The expression is: ,in, The adjusted massage intensity, The adjustment factor is fixed. S43: Patients can input real-time comfort scores via the interactive terminal during the procedure. ,when If the current massage intensity is at a critical value, a pause operation prompt will be issued.
[0012] Optionally, S5 specifically includes: S51: After the massage operation is completed, the operator uses the same pressure sensor gloves as in S1 to perform a second scan of the preset neck area while the patient maintains the original posture and the neck is naturally relaxed. S52: Using the same contact position, scanning sequence and pressing frequency as in the initial assessment stage, light pressure was applied to the occipital muscle group, neck extensor muscle group and neck flexor muscle group respectively, and deformation data of each area under pressure of 0.5N to 5N were collected. S53: Record the deformation data of each preset area under unit pressure after massage as a massage pressure-deformation dataset.
[0013] Optionally, S6 specifically includes: S61: Pair the initial pressure-deformation data collected in S1 with the pressure-deformation data collected in S5 after massage according to the preset regions, and extract the deformation of each muscle region under the same force. S62: Calculate the change in deformation per unit pressure in each preset area after massage relative to before massage, and determine the muscle elasticity recovery rate of the corresponding area accordingly. S63: Based on the recovery rate value of each muscle area, determine whether it has reached the preset therapeutic effect standard threshold. The therapeutic effect standard includes: when the recovery rate reaches or exceeds 40%, the massage of that area is deemed effective; when the recovery rate is less than 30%, the therapeutic effect is deemed insufficient. S64: Based on the evaluation results of each preset area, a comprehensive assessment of the overall therapeutic effect of this massage operation is formed and displayed.
[0014] Optionally, S62 specifically includes: S621: For each preset area, extract the unit pressure deformation collected before the massage. and the deformation of unit pressure collected after massage. ; S622: Calculate the magnitude of change in deformation. This represents the change in deformation per unit pressure after massage relative to before massage, expressed by the formula: ; S623: Based on the deformation of the unit pressure before massage, calculate the muscle elasticity recovery rate of each preset area. Its formula is: .
[0015] The beneficial effects of this invention are: This invention, by integrating a high-precision pressure sensor and combining personalized massage parameter modeling and a real-time feedback mechanism, realizes closed-loop control of massage operation for patients with cervical muscle strain from assessment to execution to feedback to optimization. This not only makes the massage process quantitative, but also significantly improves the adaptability and operational safety of massage therapy among different populations.
[0016] This invention accurately identifies the tension state of the neck muscles before massage, controls the intensity in real time during massage and dynamically adjusts it based on subjective scores, and evaluates the effect and optimizes parameters based on the recovery rate after massage. This avoids the problems of experience dependence, uncontrolled intensity and indeterminate efficacy in traditional massage, thus comprehensively improving the efficiency of neck muscle strain rehabilitation and the level of intelligence in massage therapy. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Fig. 1 This is a schematic diagram of a quantitative massage method for patients with cervical muscle strain according to an embodiment of the present invention; Fig. 2 This is a schematic diagram of the phased massage operation process according to an embodiment of the present invention; Fig. 3 This is a logical schematic diagram of an embodiment of the present invention. Detailed Implementation
[0019] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.
[0020] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.
[0021] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.
[0022] like Figs. 1-3 As shown, a quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback includes the following steps: S1: Initial pressure-deformation data of the patient's neck muscles are collected using a pressure sensor; S1 specifically includes: S11: The operator wears massage gloves with an integrated pressure sensor array. The pressure sensor array is distributed in the contact area of the glove and has a sampling accuracy of 0.1N. S12: With the patient in a sitting or prone position and with the neck muscles relaxed, apply the massage gloves to multiple pre-defined areas of the patient's neck, including the upper trapezius, sternocleidomastoid, and levator scapulae. S13: Perform a light pressure scan on each preset area at a predetermined frequency (3 times / second), collect deformation data of the corresponding area under initial pressure of 0.5N-5N, and record it to form an initial pressure-deformation dataset; by performing high-frequency sampling in multiple areas under low intensity conditions, this step can accurately reflect the stress-strain characteristics of different parts of the neck muscles in the initial state, ensuring that the generation of subsequent personalized massage parameters has a physiological basis and dynamic response basis, thereby improving the accuracy and safety of massage.
[0023] S2: Based on initial pressure-deformation data and patient information, generate personalized massage parameters, including the initial massage force range and basic frequency; S2 specifically includes: S21: Obtain the patient's age, cervical muscle strain disease type, and pain score from the patient's information. Specifically, divide the patient's age into preset age segments, divide the cervical muscle strain disease into acute and chronic phases, and divide the pain score into different pain levels according to preset score intervals to obtain the corresponding age level, disease type, and pain level. The specific steps for division are as follows: Patients' ages are divided into pre-defined age segments, which include three age groups: 18-35 years old, 36-55 years old, and 56 years old and above, and are respectively labeled as the young group, middle-aged group, and elderly group. Based on the duration of the illness as filled in by the patient, the course of cervical muscle strain is divided into acute and chronic phases. The acute phase is defined as a course of illness of no more than 3 weeks, and the chronic phase is defined as a course of illness of more than 3 weeks. Based on the pain score provided by the patient, the score results are divided into three pain levels according to the preset score range: 1-3 points for mild pain, 4-6 points for moderate pain, and 7-10 points for severe pain.
[0024] S22: Based on the initial pressure-deformation data obtained in S1, calculate the deformation under unit pressure according to different preset areas of the neck, and classify the muscle state corresponding to each preset area into different muscle tension levels according to the preset muscle stiffness grading threshold. S23: Call the preset parameter mapping rule library to combine and match the patient's age level, disease course type, pain level with the muscle tension level of each preset area. Based on the matching results, determine the corresponding initial massage intensity range, and select the base frequency that matches the muscle tension level and pain level within the initial massage intensity range to generate personalized massage parameters for the current patient. The above steps, by jointly considering the patient's individual characteristics and the local mechanical response characteristics of the neck muscles in the parameter generation stage, and transforming these characteristics into a clear initial massage intensity range and base frequency through preset mapping rules, enable the subsequent massage operation to be targeted and controllable from the beginning. This helps to avoid insufficient or excessive stimulation caused by arbitrarily setting parameters based on experience, thereby improving the individual adaptability and execution safety of the neck muscle strain massage plan.
[0025] S22 specifically includes: S221: Based on the initial pressure-deformation data collected in S1, the preset areas of the neck are labeled as the occipital muscle group, neck extensor muscle group, and neck flexor muscle group, respectively. The deformation under unit pressure is calculated for the data points within each preset area using the following formula: ,in, Indicates the first Unit pressure deformation per region (unit: ), Indicates the initial force The deformation of the muscle in this area (in mm). Indicates the application of the first Pressure in each region (in N); S222: The calculated result The muscle tension level is identified by comparing it with a preset muscle stiffness grading threshold. Specifically: when This is classified as a state of high stress. when The situation is classified as moderately tense. when The above steps normalize the deformation of different muscle regions based on standardized formulas and combine them with muscle stiffness thresholds to achieve a hierarchical classification of tension states. This step can effectively reflect the initial muscle tension level of each area of the neck muscles, providing a precise physiological basis for the selection of parameters for subsequent massage force and frequency, thereby improving the targeting and individualized response of the massage plan.
[0026] The parameter mapping rule base includes: S231: The patient's age class, disease course type, pain level, and muscle tension level of each preset area are used as input index parameters. Among them, the age class includes young group, middle-aged group, and elderly group; the disease course type includes acute phase and chronic phase; the pain level includes mild pain, moderate pain, and severe pain; and the muscle tension level includes high tension state, moderate tension state, and low tension state. S232: Set the combination relationship between the initial massage intensity range and the basic frequency in the parameter mapping rule base, and determine the parameters corresponding to each combination item by item according to the mapping rules, wherein: Mapping Rule 1: When the age group is young, the disease course is acute, the pain level is mild and the muscle tension level is low, the initial massage force range is determined to be 0.5N to 1.5N, and the base frequency is determined to be 100 times / minute to 120 times / minute. Mapping Rule 2: When the age group is young, the disease course is acute, the pain level is moderate and the muscle tension level is moderate, the initial massage force range is determined to be 1.5N to 3.0N, and the base frequency is determined to be 90 times / minute to 110 times / minute. Mapping rule 3: When the age group is middle-aged, the disease course is chronic, the pain level is moderate and the muscle tension level is high, the initial massage force range is determined to be 2.5N to 4.0N, and the basic frequency is determined to be 80 times / minute to 100 times / minute. Mapping rule 4: When the age group is elderly, the disease course is chronic, the pain level is severe pain and the muscle tension level is high tension, the initial massage force range is determined to be 1.5N to 3.0N, and the base frequency is determined to be 60 times / minute to 80 times / minute. Mapping Rule 5: When the age group is elderly, the disease course is chronic, the pain level is mild, and the muscle tension level is low, the initial massage force range is determined to be 0.5N to 1.5N, and the base frequency is determined to be 70 times / minute to 90 times / minute. S233: When generating personalized massage parameters, based on the patient's age level, disease course type, pain level, and muscle tension level of each preset area, the system retrieves matching mapping rule combinations from the parameter mapping rule base and outputs the corresponding initial massage intensity range and base frequency as initial control parameters for subsequent phased massage operations. The above steps, by combining and matching the patient's age level, disease course type, pain level, and muscle tension level with the parameter mapping rule base and configuring a clear initial massage intensity range and base frequency for each combination, realize the transformation from qualitative clinical experience to quantitative parameter configuration, avoid the deviation caused by the reliance on subjective judgment in massage parameters, and enable stable and consistent parameter output for different populations and different muscle states from the initial stage of massage.
[0027] S3: Perform phased massage operations based on personalized massage parameters. The phased massage operations include relaxation, deep intervention and soothing stages, each with different massage intensity and frequency. S3 specifically includes: S31: During the relaxation phase, the initial massage intensity range and base frequency in the personalized massage parameters generated by S2 are called. The preset neck areas are massaged with 60% to 80% of the initial massage intensity and 80% of the base frequency as control values. The massage duration is 5 to 8 minutes. The pressure of each contact point is monitored in real time by a pressure sensor to ensure that the fluctuation range does not exceed ±0.3N. S32: During the deep intervention phase, for areas with moderate to high muscle tension, adjust the massage intensity to 90% to 110% of the initial massage intensity, maintain the base frequency, and massage for 10 to 15 minutes. During this period, continuously collect reaction force data. When the reaction force decreases by more than 20% from the initial value, prompt the massage operator to reduce the current intensity by 10% to 15% to prevent local stress overload caused by continuing to apply pressure after the muscles have relaxed. S33: During the soothing phase, restore the massage intensity and frequency control values to those of the relaxation phase, and gradually reduce the massage intensity to 50% of the initial intensity for 3-5 minutes to complete the massage operation and ensure a smooth transition in muscle condition. The above steps divide the massage process into three phases: relaxation, deep intervention, and soothing, and control each phase according to different intensity and frequency strategies. This step not only improves the structure and controllability of the massage process, but also allows for dynamic adjustment based on the muscle response at different stages, thereby improving massage efficiency while reducing potential risks caused by overstimulation.
[0028] S4: During the phased massage operation, pressure data is monitored in real time, and massage parameters are dynamically adjusted when the pressure data exceeds the safety threshold; S4 specifically includes: S41: During the phased massage operation, pressure data of the massage contact points are collected at a frequency of 30 sets per second, and the pressure data is compared with the set safety threshold in real time. S42: When the pressure value at a certain instant is... Exceeding the safety threshold If the current intensity is not reached, an adjustment will be triggered immediately, reducing the current massage intensity proportionally within 100ms. The expression is: ,in, The adjusted massage intensity, The fixed adjustment factor has a range of values. ; S43: Patients can input real-time comfort scores via the interactive terminal during the procedure. ,when And when the current massage intensity is at a critical value (such as...) If the pressure data is not monitored in real time during the massage, a pause prompt will be issued to ensure the safety and comfort of the patient during the operation. The above steps monitor the pressure data in real time during the massage and trigger a dynamic adjustment mechanism to keep the massage intensity within a personalized safety range. In particular, the combination of patient subjective rating and feedback closed-loop control can effectively prevent secondary muscle damage caused by sudden local high pressure or continuous overpressure, thereby significantly improving the real-time safety assurance capability and human-computer interaction friendliness of the massage operation.
[0029] S5: After the massage procedure, collect the pressure-deformation data of the patient's neck muscles after the massage. S5 specifically includes: S51: After the massage operation is completed, the operator uses the same pressure sensor gloves as in S1 to perform a second scan of the preset neck area while the patient maintains the original posture and the neck is naturally relaxed. S52: Using the same contact position, scanning sequence and pressing frequency as in the initial assessment stage, light pressure was applied to the occipital muscle group, neck extensor muscle group and neck flexor muscle group respectively, and deformation data of each area under pressure of 0.5N to 5N were collected. S53: Record the deformation data of each preset area under unit pressure after massage as a massage pressure-deformation dataset to ensure consistency with the data before massage in terms of data structure and measurement conditions, so as to facilitate subsequent calculation of elastic recovery rate and effect evaluation.
[0030] S6: Based on the initial pressure-deformation data and the pressure-deformation data after massage, calculate the muscle elasticity recovery rate and evaluate the massage effect based on the muscle elasticity recovery rate; S6 specifically includes: S61: Pair the initial pressure-deformation data collected in S1 with the pressure-deformation data collected in S5 after massage according to the preset regions, and extract the deformation of each muscle region under the same force. S62: Calculate the change in deformation per unit pressure in each preset area after massage relative to before massage, and determine the muscle elasticity recovery rate of the corresponding area accordingly. S63: Based on the recovery rate value of each muscle area, determine whether it has reached the preset therapeutic effect standard threshold. The therapeutic effect standard includes: when the recovery rate reaches or exceeds 40%, the massage of that area is deemed effective; when the recovery rate is less than 30%, the therapeutic effect is deemed insufficient. S64: Based on the assessment results of each preset area, the overall therapeutic effect of this massage operation is comprehensively formed and displayed. The above steps quantitatively calculate the difference in muscle deformation before and after massage and introduce a recovery rate threshold standard to judge the treatment effect, so that the therapeutic effect of massage is transformed from subjective experience to objective indicator expression. This not only improves the accuracy and traceability of rehabilitation assessment, but also provides a clear quantitative basis for subsequent personalized parameter adjustment and enhances the closed-loop optimization capability of massage plan.
[0031] S62 specifically includes: S621: For each preset area, extract the unit pressure deformation collected before the massage. and the deformation of unit pressure collected after massage. The unit pressure deformation is the ratio of the muscle deformation measured under the same force to the applied pressure; S622: Calculate the magnitude of change in deformation. This represents the change in deformation per unit pressure after massage relative to before massage, expressed by the formula: ; S623: Based on the deformation of the unit pressure before massage, calculate the muscle elasticity recovery rate of each preset area. Its formula is: ,in, The muscle elasticity recovery rate is used to measure the degree of improvement in the ability of muscles in the same area to deform under the same pressure after massage. The above steps compare the unit pressure deformation before and after massage in a normalized manner and express it using the recovery rate as a relative indicator. This step can effectively eliminate the influence of the initial thickness or tension of different muscle areas on the absolute deformation, thereby achieving standardized efficacy assessment across regions and individuals.
[0032] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.
[0033] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback, characterized in that, Includes the following steps: S1: Initial pressure-deformation data of the patient's neck muscles are collected using a pressure sensor; S2: Based on the initial pressure-deformation data and patient information, generate personalized massage parameters, including the initial massage force range and the basic frequency; S3: Perform a phased massage operation based on personalized massage parameters. The phased massage operation includes a relaxation phase, a deep intervention phase, and a soothing phase. S4: During the phased massage operation, pressure data is monitored in real time, and massage parameters are dynamically adjusted when the pressure data exceeds the safety threshold; S5: After the massage procedure, collect the pressure-deformation data of the patient's neck muscles after the massage. S6: Based on the initial pressure-deformation data and the pressure-deformation data after massage, calculate the muscle elasticity recovery rate and evaluate the massage effect based on the muscle elasticity recovery rate.
2. The quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S1 specifically includes: S11: The operator wears a massage glove with an integrated pressure sensor array, the pressure sensor array being distributed at the contact points of the glove and having a sampling accuracy of 0.1N; S12: With the patient in a seated or prone position, or in a position that allows the neck muscles to relax, apply the massage gloves to several pre-defined areas of the patient's neck, including the upper trapezius, sternocleidomastoid, and levator scapulae. S13: Perform a light pressure scan on each preset area at a predetermined frequency, collect deformation data of the corresponding area under an initial pressure of 0.5N-5N, and record it to form an initial pressure-deformation dataset.
3. The quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S2 specifically includes: S21: Obtain the patient's age, cervical muscle strain disease type, and pain score from the patient's information. Specifically, divide the patient's age into preset age segments, divide the cervical muscle strain disease into acute and chronic phases, and divide the pain score into different pain levels according to preset score intervals to obtain the corresponding age level, disease type, and pain level. S22: Based on the initial pressure-deformation data obtained in S1, calculate the deformation under unit pressure according to different preset areas of the neck, and classify the muscle state corresponding to each preset area into different muscle tension levels according to the preset muscle stiffness grading threshold. S23: Call the preset parameter mapping rule library, combine and match the patient's age level, disease course type, pain level with the muscle tension level of each preset area, determine the corresponding initial massage intensity range based on the matching results, and select the basic frequency that matches the muscle tension level and pain level within the initial massage intensity range to generate personalized massage parameters for the current patient.
4. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 3, characterized in that, S22 specifically includes: S221: Based on the initial pressure-deformation data collected in S1, the preset areas of the neck are labeled as the occipital muscle group, neck extensor muscle group, and neck flexor muscle group, respectively. The deformation under unit pressure is calculated for the data points within each preset area using the following formula: ,in, Indicates the first Unit pressure deformation in each region Indicates the initial force The deformation produced by the muscles in this area. Indicates the application of the first Pressure on each region; S222: The calculated result The muscle tension level is identified by comparing it with a preset muscle stiffness grading threshold. Specifically: when This is classified as a state of high stress. when The situation is classified as moderately tense. when It is classified as a low-stress state.
5. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 4, characterized in that, The parameter mapping rule base includes: S231: The patient's age level, disease course type, pain level, and muscle tension level of each preset area are used as input index parameters. The age level includes young group, middle-aged group, and elderly group. The disease course type includes acute phase and chronic phase. The pain level includes mild pain, moderate pain, and severe pain. The muscle tension level includes high tension state, moderate tension state, and low tension state. S232: Set the combination relationship between the initial massage intensity range and the basic frequency in the parameter mapping rule base, and determine the parameters corresponding to each combination item by item according to the mapping rules; S233: When generating personalized massage parameters, based on the patient's age level, disease course type, pain level, and muscle tension level of each preset area, the system retrieves matching mapping rule combinations from the parameter mapping rule library and outputs the corresponding initial massage force range and basic frequency.
6. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S3 specifically includes: S31: During the relaxation phase, the initial massage intensity range and base frequency in the personalized massage parameters generated by S2 are called. The preset neck areas are massaged with 60% to 80% of the initial massage intensity and 80% of the base frequency as control values. The massage duration is 5 to 8 minutes, and the contact pressure at each point is monitored in real time by a pressure sensor. S32: During the deep intervention phase, for areas with moderate to high muscle tension, adjust the massage intensity to 90%–110% of the initial massage intensity, maintain the base frequency, and massage for 10–15 minutes. During this period, continuously collect reaction force data. When the reaction force decreases by more than 20% from the initial value, prompt the massage operator to reduce the current intensity by 10%–15%. S33: During the soothing phase, restore the massage intensity and frequency control values to the relaxation phase, and gradually reduce the massage intensity to 50% of the initial massage intensity. The duration is 3 to 5 minutes to complete the massage operation.
7. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S4 specifically includes: S41: During the phased massage operation, pressure data of the massage contact points are collected at a frequency of 30 sets per second, and the pressure data is compared with the set safety threshold in real time. S42: When a certain instantaneous pressure value Exceeding the safety threshold If the current intensity is not reached, an adjustment will be triggered immediately, reducing the current massage intensity proportionally within 100ms. The expression is: ,in, The adjusted massage intensity, The adjustment factor is fixed. S43: Patients can input real-time comfort scores via the interactive terminal during the procedure. ,when Furthermore, when the current massage intensity reaches a critical value, a pause operation prompt will be issued.
8. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S5 specifically includes: S51: After the massage operation is completed, the operator uses the same pressure sensor gloves as in S1 to perform a second scan of the preset neck area while the patient maintains the original posture and the neck is naturally relaxed. S52: Using the same contact position, scanning sequence and pressing frequency as in the initial assessment stage, light pressure was applied to the occipital muscle group, neck extensor muscle group and neck flexor muscle group respectively, and deformation data of each area under pressure of 0.5N to 5N were collected. S53: Record the deformation data of each preset area under unit pressure after massage as a massage pressure-deformation dataset.
9. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S6 specifically includes: S61: Pair the initial pressure-deformation data collected in S1 with the pressure-deformation data collected in S5 after massage according to the preset regions, and extract the deformation of each muscle region under the same force. S62: Calculate the change in deformation per unit pressure in each preset area after massage relative to before massage, and determine the muscle elasticity recovery rate of the corresponding area accordingly. S63: Based on the recovery rate value of each muscle area, determine whether it has reached the preset therapeutic effect standard threshold. The therapeutic effect standard includes: when the recovery rate reaches or exceeds 40%, the massage of that area is deemed effective; when the recovery rate is less than 30%, the therapeutic effect is deemed insufficient. S64: Based on the evaluation results of each preset area, a comprehensive assessment of the overall therapeutic effect of this massage operation is formed and displayed.
10. A quantitative massage method for patients with cervical muscle strain based on pressure sensor feedback according to claim 1, characterized in that, S62 specifically includes: S621: For each preset area, extract the unit pressure deformation collected before the massage. and the deformation of unit pressure collected after massage. ; S622: Calculate the magnitude of change in deformation. This represents the change in deformation per unit pressure after massage relative to before massage, expressed by the formula: ; S623: Based on the deformation of the unit pressure before massage, calculate the muscle elasticity recovery rate of each preset area. Its formula is: .