Traditional Chinese medicine gynecological dysmenorrhea patient treatment device

Abstract

The invention discloses a traditional Chinese medicine gynecology dysmenorrhea patient treatment device, and relates to the technical field of traditional Chinese medicine gynecology, the technical scheme is characterized in that the traditional Chinese medicine gynecology dysmenorrhea patient treatment device comprises a connecting belt, a buckle is arranged at the end of the connecting belt, the other end of the connecting belt is clamped on the buckle, and the traditional Chinese medicine gynecology dysmenorrhea patient treatment device further comprises a massage module; the hot compress massage disc is arranged on the connecting belt, and a massage head is arranged on the hot compress massage disc; the data acquisition module is used for acquiring individual physiological data and dysmenorrhea symptom data of the traditional Chinese medicine gynecological dysmenorrhea patient; the data analysis module is used for analyzing according to the individual physiological data to obtain a first pre-selected hot compress parameter group of the hot compress massage disc and obtaining a first hot compress parameter set according to the first pre-selected hot compress parameter group; the device has the effects of dynamically capturing the change of the condition of a patient, updating a parameter scheme in real time along with the menstrual cycle and the treatment progress, adapting to the requirements of different stages such as the development stage and the remission stage, realizing accurate nursing in the whole process, and remarkably improving the treatment accuracy, adaptability and comprehensive curative effect.

Description

Technical Field

[0001] This invention relates to the field of traditional Chinese medicine gynecology technology, and more specifically, to a traditional Chinese medicine gynecology treatment device for patients with dysmenorrhea. Background Technology

[0002] Dysmenorrhea, a common gynecological condition in Traditional Chinese Medicine (TCM), is characterized by cyclical lower abdominal pain during or before menstruation. TCM classifies it into different patterns, such as cold stagnation and blood stasis, qi stagnation and blood stasis, and qi and blood deficiency. Treatment often follows the external principles of warming the meridians and dispelling cold, promoting qi and blood circulation, and relieving pain. Physical therapies such as hot compresses and massage are commonly used by patients due to their convenience and minimal side effects. However, current clinical and home-use dysmenorrhea treatment devices still have many technical limitations, making it difficult to meet the needs of TCM's syndrome differentiation and individualized treatment.

[0003] Traditional hot compress devices often use fixed temperature settings, such as hot water bottles and electric heating pads, which can only provide a single warming stimulus and cannot adjust parameters according to the patient's physical condition. For patients with a cold constitution and high skin sensitivity, fixed high temperature can easily cause skin burns; while for patients with a damp-heat constitution, too low a temperature is difficult to achieve the effect of warming and unblocking the meridians. At the same time, they lack the ability to continuously regulate temperature, and the warming effect decays over time, failing to meet the requirements of traditional Chinese medicine for sustained warming treatment, resulting in poor therapeutic stability. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a traditional Chinese medicine gynecological dysmenorrhea treatment device.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A traditional Chinese medicine gynecological treatment device for dysmenorrhea includes a connecting belt, one end of which is provided with a buckle, and the other end of the connecting belt is engaged with the buckle. It also includes: Massage module: The massage module includes a heated massage disc, which is mounted on a connecting belt and has massage heads mounted on it; Data acquisition module: Acquires individual physiological data and dysmenorrhea symptom data of patients with dysmenorrhea in traditional Chinese medicine gynecology; Data analysis module: Analyzes the individual physiological data to obtain the first set of pre-selected hot compress parameters for the hot compress massage disc, and obtains the first set of hot compress parameters based on the first set of pre-selected hot compress parameters; The first adaptation coefficient corresponding to the pre-selected hot compress parameter group is obtained based on the individual physiological data. Based on the dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage disc is obtained, and a second set of massage parameters is obtained based on the second set of pre-selected massage parameters. Based on the dysmenorrhea symptom data, the second adaptation coefficient corresponding to the pre-selected massage parameter group two is obtained; Data adaptation module: performs collaborative analysis of the first set of hot compress parameters and the second set of massage parameters to obtain the candidate parameter combination of the hot compress massage disc, and obtains the comprehensive adaptation coefficient corresponding to the candidate parameter combination based on the first adaptation coefficient and the second adaptation coefficient. Control module: Based on the comprehensive adaptation coefficient, the treatment adaptation level of the candidate parameter combination is obtained, and based on the treatment adaptation level, the candidate parameter combination of the hot compress massage plate is screened and analyzed to obtain the target control parameters for the patients with dysmenorrhea in traditional Chinese medicine gynecology.

[0006] Preferably, the individual physiological data includes the constitution type data, abdominal skin sensitivity data, and basal body temperature data of patients with dysmenorrhea in traditional Chinese medicine gynecology. The data on dysmenorrhea symptoms includes pain level data, pain duration data, and pain frequency data for patients with dysmenorrhea in traditional Chinese medicine gynecology.

[0007] Preferably, a pre-selected set of heat therapy parameters for the heat therapy massage disc is obtained by analyzing the individual physiological data, and a set of heat therapy parameters is obtained based on the pre-selected set of heat therapy parameters, specifically including: Based on the body type data, obtain the corresponding body type's suitable hot compress temperature range and hot compress duration baseline values; Based on the abdominal skin sensitivity data, a skin sensitivity coefficient is obtained. The hot compress temperature range is then adjusted based on the skin sensitivity coefficient to obtain the adjusted hot compress temperature range. The body temperature fluctuation coefficient is obtained based on the basal body temperature data. The body temperature fluctuation coefficient is then used to correct the baseline value of the hot compress duration to obtain the corrected hot compress duration. The adjusted heat application temperature range and the corrected heat application duration are used as the first set of pre-selected heat application parameters.

[0008] Preferably, the first adaptation coefficient corresponding to the preselected hot compress parameter group is obtained based on the individual physiological data, specifically including: Set the body constitution adaptation weight, skin sensitivity adaptation weight, and body temperature adaptation weight; Based on the compatibility of the adjusted hot compress temperature range with the body type and the skin sensitivity coefficient in the pre-selected hot compress parameter group one, the body type skin compatibility score is obtained, and the body type skin assessment value is calculated by combining the body type compatibility weight and the skin sensitivity compatibility weight. The body temperature fit score is obtained based on the compatibility between the modified heat application time and the baseline body temperature and the body temperature fluctuation coefficient in the pre-selected heat application parameter group one. The body temperature assessment value is then calculated in combination with the body temperature fit weight. The physical condition and skin assessment value are added together with the body temperature assessment value to obtain the first adaptation coefficient corresponding to the pre-selected hot compress parameter group one.

[0009] Preferably, based on the analysis of the dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage disc is obtained, and a second set of massage parameters is obtained based on the second set of pre-selected massage parameters, specifically including: Based on the pain level data, obtain the appropriate massage intensity range and massage frequency baseline value for the corresponding pain level; Based on the pain duration data, a duration influence coefficient is obtained. The massage intensity range is then adjusted in conjunction with the duration influence coefficient to obtain the adjusted massage intensity range. The frequency influence coefficient is obtained based on the pain attack frequency data. The massage frequency benchmark value is then corrected based on the frequency influence coefficient to obtain the corrected massage frequency. The adjusted massage intensity range and corrected massage frequency are used as the second set of pre-selected massage parameters.

[0010] Preferably, the second fitting coefficient corresponding to the pre-selected massage parameter group two is obtained based on the dysmenorrhea symptom data, specifically including: Set the pain level adaptation weight, duration adaptation weight, and frequency adaptation weight; Based on the compatibility between the adjusted massage intensity range and the pain level in the pre-selected massage parameter group two, and the duration influence coefficient, the pain duration compatibility score is obtained. The pain duration assessment value is then calculated by combining the pain level compatibility weight and the duration compatibility weight. The frequency fit score is obtained based on the fit between the modified massage frequency and the pain attack frequency in the pre-selected massage parameter group 2 and the frequency influence coefficient. The frequency evaluation value is then calculated in combination with the frequency fit weight. The pain duration assessment value and the frequency assessment value are added together to obtain the second adaptation coefficient corresponding to the second pre-selected massage parameter group.

[0011] Preferably, the heat therapy parameter set one and the massage parameter set two are analyzed collaboratively to obtain the candidate parameter combination for the heat therapy massage disc, and the comprehensive adaptation coefficient corresponding to the candidate parameter combination is obtained based on the first adaptation coefficient and the second adaptation coefficient, specifically including: The optional parameter combinations for the hot compress massage disc include associated optional parameter combinations and independent optional parameter combinations; Pair the pre-selected hot compress parameter group 1 and pre-selected massage parameter group 2 that have a symptom-physiological correlation with massage parameter group 2 in hot compress parameter group 1, and record them as the associated candidate parameter combination. Set the weight values ​​for heat therapy and massage; Based on the first adaptation coefficient and heat therapy adaptation weight of the pre-selected hot compress parameter group one and the second adaptation coefficient and massage adaptation weight of the pre-selected massage parameter group two in the associated candidate parameter combination, the comprehensive adaptation coefficient corresponding to the associated candidate parameter combination is obtained. The unrelated pre-selected hot compress parameter group 1 in hot compress parameter set 1 and the unrelated pre-selected massage parameter group 2 in massage parameter set 2 are respectively recorded as independent candidate parameter combinations; If the independent candidate parameter combination is the first pre-selected hot compress parameter group, then its corresponding first adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination. If the independent candidate parameter combination is the second pre-selected massage parameter group, then its corresponding second adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination.

[0012] Preferably, the treatment fit level of the candidate parameter combination is obtained based on the comprehensive fit coefficient, and the candidate parameter combination of the hot compress massage plate is screened and analyzed based on the treatment fit level to obtain the target control parameters for the patients with dysmenorrhea in traditional Chinese medicine gynecology, specifically including: The treatment fit levels of all candidate parameter combinations are compared pairwise to obtain the parameter overlap between any two candidate parameter combinations. The parameter overlap is compared with a preset parameter overlap threshold. If the parameter overlap of the candidate parameter combination with all other candidate parameter combinations is less than or equal to the parameter overlap threshold, then the candidate parameter combination is denoted as the target control parameter. If the parameter overlap between the candidate parameter combination and at least one other candidate parameter combination is greater than the parameter overlap threshold, then the treatment priority corresponding to the candidate parameter combination is obtained according to the comprehensive fit coefficient, and the candidate parameter combination with the highest treatment priority is recorded as the target control parameter. The treatment priority corresponding to the combination of candidate parameters is positively correlated with the comprehensive fit coefficient of the combination of candidate parameters.

[0013] Preferably, the connecting strap is provided with a first connecting box and a second connecting box. The buckle is fixedly connected to the outer side wall of the first connecting box. A sliding block is fixedly connected to the second connecting box. The sliding block has a through hole for the connecting strap to pass through. The sliding block is slidably connected to the connecting strap through the through hole. The hot compress massage plate is fixedly connected to the inner side walls of the first connecting box and the second connecting box, and the massage head passes through the side walls of the connecting box and the second connecting box and is arranged opposite to each other.

[0014] Compared with existing technologies, this invention has the following beneficial effects: It generates customized hot compress and massage parameter sets through hierarchical analysis and coefficient quantification, adapting to the different physical differences and symptom needs of various patients; it establishes a synergistic control mechanism for hot compress and massage based on the TCM theories of warming and unblocking meridians and relieving pain through massage, deeply integrating the warming effect with the meridian unblocking effect, avoiding the problem of fragmented efficacy due to independent functional operation, and strengthening the overall synergistic effect of TCM external treatment; it introduces a quantitative evaluation system such as the first adaptation coefficient and the comprehensive adaptation coefficient, combining parameter overlap comparison and priority ranking to accurately select the optimal parameter combination, effectively avoiding safety risks such as excessive temperature and excessive force, maximizing treatment effectiveness while ensuring safety; and it can dynamically capture changes in the patient's condition, updating the parameter plan in real time according to the menstrual cycle and treatment progress, adapting to the needs of different stages such as the attack period and the remission period, achieving precise protection throughout the process, and significantly improving the accuracy, adaptability, and comprehensive efficacy of treatment. Attached Figure Description

[0015] Figure 1 This invention provides a schematic diagram of the overall structure of a traditional Chinese medicine gynecological dysmenorrhea treatment device. Figure 1 ; Figure 2 This invention provides a schematic diagram of the overall structure of a traditional Chinese medicine gynecological dysmenorrhea treatment device. Figure 1 two; Figure 3 This invention provides a cross-sectional view of a traditional Chinese medicine gynecological treatment device for patients with dysmenorrhea.

[0016] In the diagram: 1. Connecting strap; 2. Buckle; 3. Heated massage disc; 4. Massage head; 5. First connecting box; 6. Second connecting box; 7. Sliding block; 8. Through hole; 9. Ventilation hole; 10. Loading box; 11. Silicone protective cover. Detailed Implementation

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0020] Reference Figures 1-3 As shown.

[0021] Example 1 further illustrates the treatment device for dysmenorrhea patients in traditional Chinese medicine gynecology proposed in this invention.

[0022] A traditional Chinese medicine gynecological treatment device for dysmenorrhea includes a connecting belt 1, with a buckle 2 at one end of the connecting belt 1, and the other end of the connecting belt 1 is fastened to the buckle 2. It also includes: Massage module: The massage module includes a hot massage plate 3, which is mounted on the connecting belt 1 and has massage heads 4. Data acquisition module: Acquires individual physiological data and dysmenorrhea symptom data of patients with dysmenorrhea in traditional Chinese medicine gynecology; Data analysis module: Based on individual physiological data, the module analyzes and obtains the first set of pre-selected hot compress parameters for the hot compress massage disc 3, and obtains the first set of hot compress parameters based on the first set of pre-selected hot compress parameters. The first adaptation coefficient corresponding to the pre-selected hot compress parameter group is obtained based on individual physiological data; Based on the analysis of dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage disc 3 was obtained, and a second set of massage parameters was obtained based on the second set of pre-selected massage parameters. The second fitting coefficient corresponding to the pre-selected massage parameter group two was obtained based on the dysmenorrhea symptom data; Data adaptation module: The hot compress parameter set 1 and the massage parameter set 2 are analyzed collaboratively to obtain the candidate parameter combination of the hot compress massage plate 3, and the comprehensive adaptation coefficient corresponding to the candidate parameter combination is obtained according to the first adaptation coefficient and the second adaptation coefficient. Control module: Based on the comprehensive adaptation coefficient, the treatment adaptation level of the candidate parameter combination is obtained, and the candidate parameter combination of the hot compress massage plate 3 is screened and analyzed based on the treatment adaptation level to obtain the target control parameters for patients with dysmenorrhea in traditional Chinese medicine gynecology.

[0023] This device is easy to wear through the cooperation of the connecting strap 1 and the buckle 2. The length of the connecting strap 1 can be adjusted according to the patient's waist circumference, and the buckle 2 at the end can firmly lock the two ends of the connecting strap together, so that the hot compress massage plate 3 set on the connecting strap can accurately fit the acupoint area related to dysmenorrhea in the lower abdomen and lumbosacral region of the patient, providing a stable carrier for subsequent hot compress and massage treatment. The massage head 4 on the hot compress massage plate 3 is the core component that directly performs the massage action. Before treatment begins, the data acquisition module first collects key information to provide a basis for personalized treatment. The individual physiological data acquired by the module covers the patient's age, constitution type, such as cold-induced blood stasis type and qi stagnation and blood stasis type in traditional Chinese medicine, basal body temperature, and skin sensitivity indicators. These data reflect the patient's physiological basis and tolerance to treatment. The dysmenorrhea symptom data includes the location of pain in the lower abdomen, both sides, or lumbosacral region, the degree of pain such as dull pain, distending pain, and colic, the duration of pain, the frequency of attacks, and accompanying symptoms such as aversion to cold, lower back pain, and nausea, accurately capturing the specific manifestations of dysmenorrhea. For example, a 25-year-old patient with a cold-induced blood stasis constitution, low basal body temperature, and moderate skin sensitivity experiences dysmenorrhea as lower abdominal colic lasting 2-3 hours, accompanied by aversion to cold. These data will be completely collected and transmitted to the subsequent modules. The data analysis module performs stratified processing on the collected data to generate preliminary treatment parameters and adaptation coefficients. For hot compress parameters, the module constructs an analysis model based on individual physiological data: patients with cold-blood stasis constitution need to focus on warming the meridians and dispelling cold; those with low basal body temperature are suitable for slightly higher hot compress temperatures; and those with moderate skin sensitivity need to control the temperature fluctuation range. Based on this, a pre-selected hot compress parameter set one is generated, which includes multiple candidate parameters in terms of temperature range, heating rate, and duration of continuous hot compress. Then, through data standardization processing, a structured hot compress parameter set one is obtained. At the same time, the first adaptation coefficient is calculated by combining indicators such as constitution compatibility and skin tolerance. If the parameter set one has a high degree of matching with the patient's cold-blood stasis constitution and is within the skin tolerance range, the first adaptation coefficient can reach 0.85. Based on the data of dysmenorrhea symptoms, the massage parameters were analyzed: lower abdominal colic is mostly related to blood stasis, requiring a combination of deep pressure and circular kneading. If the pain lasts for 2-3 hours, the massage duration and interval frequency should be matched accordingly. This generates a second set of pre-selected massage parameters, which includes massage intensity, massage frequency, combination of techniques, and duration of action. This is further organized into a second set of massage parameters. At the same time, a second fit coefficient is calculated based on the symptom fit, such as whether the technique is targeted at the type of colic and the expected pain relief. If parameter set two accurately corresponds to the characteristics of lower abdominal colic, the second fit coefficient can reach 0.9. The data adaptation module performs collaborative optimization of hot compress and massage parameters, calculates the comprehensive adaptation coefficient, and cross-combines hot compress parameter set one and massage parameter set two to generate multiple sets of candidate parameter combinations. For example, a combination of temperature 42-45℃, heating rate 5℃ / min, duration 20 minutes, and medium intensity, frequency 60 times / min, combined kneading and pressing, duration 15 minutes; or a combination of temperature 40-43℃, heating rate 3℃ / min, duration 25 minutes, and low intensity, frequency 40 times / min, primarily pressing, duration 20 minutes. Based on the first and second adaptation coefficients, a weighted calculation method is used to obtain the comprehensive adaptation coefficient for each set of candidate parameter combinations. The weight allocation follows the treatment logic of traditional Chinese medicine: hot compress warms the meridians as the foundation, and massage unblocks blood stasis as an auxiliary measure. Typically, the first adaptation coefficient accounts for 0.4, and the second adaptation coefficient accounts for 0.6. If the first adaptation coefficient of a combination is 0.85 and the second adaptation coefficient is 0.9, its comprehensive adaptation coefficient is 0.85×0.4+0.9×0.6=0.88.

[0024] The control module selects target control parameters based on a comprehensive fit coefficient, drives the massage module to perform treatment, and maps the comprehensive fit coefficient to a treatment fit level: a comprehensive fit coefficient of 0.9 or above is Level 1 fit, 0.8-0.89 is Level 2 fit, 0.7-0.79 is Level 3 fit, and below 0.7 is no fit. Then, all candidate parameter combinations are sorted by level, with priority given to Level 1 fit combinations. If multiple Level 1 fit combinations exist, the combination with a slightly higher massage frequency is selected for further screening based on the urgency of the patient's symptoms, such as severe colic. For example, a combination with a comprehensive fit coefficient of 0.88 belongs to Level 2 fit. If no Level 1 fit combination exists, this combination will be identified as the target control parameter. The control module converts the target parameter into an electrical signal and sends it to the hot compress massage plate 3: controlling the hot compress component to heat up and maintain the set temperature and rate, while simultaneously controlling the massage head 4 to perform actions according to the set force, frequency, and technique, achieving synergistic treatment of hot compress and massage, effectively relieving dysmenorrhea symptoms.

[0025] Individual physiological data include the constitution type, abdominal skin sensitivity, and basal body temperature data of patients with dysmenorrhea in traditional Chinese medicine gynecology. Data on dysmenorrhea symptoms include pain level, duration of pain, and frequency of pain attacks for patients with dysmenorrhea in traditional Chinese medicine gynecology.

[0026] The connection strap 1 and buckle 2 are used to secure the device. The connection strap 1 can be flexibly adjusted according to the patient's waist circumference, and the buckle 2 can firmly connect the two ends of the connection strap 1, so that the hot compress massage plate 3 on the connection strap 1 can closely fit the acupoints related to dysmenorrhea such as the lower abdomen and lumbosacral region. The massage head 4 provides the terminal for subsequent physical therapy, ensuring that the heat and massage intensity are accurately applied to the lesion site.

[0027] Before treatment, the data acquisition module collects individual physiological data and dysmenorrhea symptom data. Individual physiological data includes constitution type data, which needs to clarify the patient's TCM syndrome type, such as cold-blood stasis type, qi stagnation and blood stasis type, and qi and blood deficiency type; abdominal skin sensitivity data is detected by contact sensor and divided into three levels: high sensitivity, medium sensitivity, and low sensitivity, which directly relates to the safe threshold of hot compress temperature and massage intensity; basal body temperature data records the patient's daily basal body temperature range, reflecting the state of yang qi in the body; pain level data in dysmenorrhea symptom data is determined by visual analog scale (VAS), ranging from mild dull pain to severe cramping pain, divided into 1 to 10 levels; pain duration data records the time from onset to relief for each pain episode; and pain frequency data statistically analyzes the number of pain episodes per month and the interval pattern. For example, if a patient's data indicates a cold-blood stasis constitution, medium abdominal skin sensitivity, basal body temperature of 36.2℃, pain level of 8, duration of 3 hours, and one episode per month concentrated on the first day of menstruation. The data analysis module generates heat application and massage parameters and adaptation coefficients based on two types of data. For heat application parameters, the module constructs an analysis logic based on individual physiological data: those with cold-blood stasis constitution need to warm the meridians and dispel cold; those with low basal body temperature need slightly higher heat application temperatures; and those with moderately sensitive skin have their temperature upper limit and fluctuation range limited. Based on this, a pre-selected heat application parameter set one is generated, including candidate parameters for a temperature range of 41℃ to 44℃, a heating rate of 4℃ per minute, and continuous heat application for 25 minutes, which are organized into heat application parameter set one. At the same time, the first adaptation coefficient is calculated. If parameter set one has a high degree of matching with the warming needs of the cold-blood stasis constitution and the temperature range fully meets the tolerance standards of moderately sensitive skin, the first adaptation coefficient is 0.88. The massage parameters are broken down based on the data of dysmenorrhea symptoms: Level 8 severe pain requires medium to high intensity massage to relieve pain and promote blood circulation; the 3-hour duration requires the massage to be performed in stages, with a 5-minute break every 30 minutes; if the pain occurs once a month, high-frequency adaptation is not required. This generates a second set of pre-selected massage parameters, which includes medium intensity, a frequency of 70 times per minute, alternating kneading and acupressure techniques, and a total duration of 20 minutes divided into 4 stages. Then, a second adaptation coefficient is calculated based on the fit between the parameters and the pain level and duration. If the combination of techniques can accurately target severe cramping and the interval settings meet the need for continuous pain relief, the second adaptation coefficient is 0.92. The data adaptation module performs parameter coordination and comprehensive adaptation calculations, cross-combining the first set of hot compress parameters and the second set of massage parameters to generate multiple sets of candidate parameter combinations, such as a combination of 41 to 44℃ temperature with medium intensity 70 times per minute and a combination of 42 to 43℃ temperature with medium intensity 65 times per minute. Combining the treatment logic of traditional Chinese medicine with hot compress as the basis and massage as the supplement, the comprehensive adaptation coefficient is calculated with the first adaptation coefficient accounting for 0.4 and the second adaptation coefficient accounting for 0.6. The comprehensive adaptation coefficient of the combination is 0.88×0.4+0.92×0.6=0.904. The control module filters target parameters and drives the massage module to run. The comprehensive adaptation coefficient is corresponding to the treatment adaptation level. 0.9 and above is Level 1 adaptation, 0.8 to 0.89 is Level 2 adaptation, and below 0.8 is Level 3 adaptation. Level 1 adaptation combinations are selected first. For example, when the pain first occurs on the first day of menstruation, a combination with a slightly faster heating rate is selected. After determining the target parameters, the control module sends instructions to the hot compress massage plate 3: the hot compress component heats up to 41 to 44℃ and maintains it for 25 minutes; the massage head alternates between kneading and acupressure at a medium intensity and a frequency of 70 times per minute, pausing for 5 minutes every 30 minutes. Through the synergistic effect of hot compress warming the meridians and massage dispersing stagnation, the severe dysmenorrhea symptoms of cold coagulation and blood stasis are accurately relieved. If the patient has a constitution characterized by qi and blood deficiency, highly sensitive skin, a basal body temperature of 36.5℃, a pain level of 4, a duration of 1 hour, and an attack frequency of 2 times per month, the data analysis module generates a heat therapy parameter of 38 to 40℃ with a heating rate of 2℃ per minute, which is the first adaptation coefficient of 0.9, and a massage parameter of low intensity and a frequency of 40 times per minute, which is the second adaptation coefficient of 0.85. The overall adaptation coefficient is 0.87, corresponding to the second-level adaptation level. The massage module uses a combination of gentle heat therapy and gentle massage to carry out treatment, which is both in line with the patient's tolerance and can relieve moderate pain.

[0028] Based on the analysis of individual physiological data, a pre-selected set of heat therapy parameters for the heat therapy massage disc 3 was obtained. Based on the pre-selected set of heat therapy parameters, a set of heat therapy parameters was obtained, which specifically includes: Based on body type data, obtain the appropriate hot compress temperature range and hot compress duration baseline values ​​for the corresponding body type. Based on the abdominal skin sensitivity data, a skin sensitivity coefficient was obtained. The range of hot compress temperature was then adjusted based on the skin sensitivity coefficient to obtain the adjusted hot compress temperature range. The body temperature fluctuation coefficient is obtained based on the basal body temperature data. The baseline value of the hot compress duration is then corrected based on the body temperature fluctuation coefficient to obtain the corrected hot compress duration. The adjusted heat therapy temperature range and the corrected heat therapy duration are used as the first set of pre-selected heat therapy parameters.

[0029] Based on body constitution data, the temperature range and duration of hot compresses are determined. Traditional Chinese medicine emphasizes syndrome differentiation and treatment for dysmenorrhea, and the hot compress needs for different body constitutions vary significantly. A pre-defined parameter library for each body constitution is established. Patients with a cold-blood stasis constitution, due to stagnation of cold pathogens and poor blood circulation, require warming and dispelling cold through higher-temperature hot compresses. The corresponding temperature range in the parameter library is 42℃ to 45℃, with a baseline duration of 25 minutes, using continuous warmth to dispel cold pathogens and unblock blood vessels. For patients with a qi stagnation and blood stasis constitution, the focus is on qi and blood stagnation... The core issue is to promote circulation. Hot compresses should take into account both warming and promoting the flow of Qi. The temperature range should be set between 40℃ and 43℃, and the base duration should be 20 minutes to avoid excessively high temperatures that could aggravate Qi stagnation. For patients with Qi and blood deficiency, who have insufficient Yang Qi and low skin tolerance, hot compresses should focus on gentle tonification. The temperature range should be reduced to 38℃ to 41℃, and the base duration should be extended to 30 minutes. This will nourish Qi and blood through gentle and sustained heat. For example, if a patient is diagnosed with Qi stagnation and blood stasis, the temperature range of 40℃ to 43℃ and the base duration of 20 minutes should be retrieved from the parameter library as the initial parameters.

[0030] Based on abdominal skin sensitivity data, a skin sensitivity coefficient is calculated to adjust the heat application temperature range. Skin sensitivity data is determined through contact sensor detection or patient subjective feedback, and is divided into three levels: high sensitivity, moderate sensitivity, and low sensitivity. Different levels correspond to different sensitivity coefficients: Highly sensitive skin reacts violently to temperature changes, with a coefficient set at 0.9, requiring a lower temperature to avoid burns; moderately sensitive skin has moderate tolerance, with a coefficient set at 1.0, and the temperature range remains unchanged; Lowly sensitive skin has a low sensitivity, with a coefficient set at 1.1, allowing for a slight increase in temperature to ensure the heat application effect. When adjusting, the initial temperature range should be kept within a certain range. The upper and lower limits of the temperature range are multiplied by the sensitivity coefficient to obtain the adjusted temperature range. For example, the skin sensitivity of patients with qi stagnation and blood stasis is high, with a sensitivity coefficient of 0.9. The initial temperature range is 40℃ to 43℃. After adjustment, the upper limit is 43×0.9=38.7℃ and the lower limit is 40×0.9=36℃. The final adjusted hot compress temperature range is 36℃ to 38.7℃. If the skin sensitivity of patients with cold coagulation and blood stasis is low, with a coefficient of 1.1, the initial temperature range of 42℃ to 45℃ is adjusted to 46.2℃ to 49.5℃, which meets the body's need for warming the meridians and adapts to the skin's tolerance characteristics. The body temperature fluctuation coefficient is calculated based on basal body temperature data to correct the baseline value for hot compress duration. Basal body temperature reflects the patient's basal metabolism and Yang Qi status. With 36.5℃ as the standard body temperature, the ratio of the patient's actual basal body temperature to the standard body temperature is used as the body temperature fluctuation coefficient. Patients with a basal body temperature below 36.5℃ have relatively insufficient Yang Qi and absorb heat slowly, resulting in a coefficient less than 1; therefore, the hot compress duration needs to be extended to ensure proper heat penetration. Patients with a basal body temperature above 36.5℃ have abundant Yang Qi and absorb heat quickly, resulting in a coefficient greater than 1; therefore, the duration can be shortened to avoid overheating. For correction, the baseline value for hot compress duration is divided by the body temperature fluctuation coefficient to obtain the corrected hot compress duration. For example, for patients with cold-induced blood stasis, the baseline value for hot compress duration is... For a patient with a basal body temperature of 36.2℃, the temperature fluctuation coefficient is 36.2 ÷ 36.5 ≈ 0.992. The base duration is 25 minutes, and the adjusted duration is 25 ÷ 0.992 ≈ 25.2 minutes, so it is adjusted to 25 minutes. For a patient with a basal body temperature of 36.0℃, the coefficient is 36.0 ÷ 36.5 ≈ 0.986. The base duration is 30 minutes, and the adjusted duration is 30 ÷ 0.986 ≈ 30.4 minutes, so it is adjusted to 31 minutes. For a patient with a basal body temperature of 36.8℃ and a stagnant blood stasis type, the coefficient is 36.8 ÷ 36.5 ≈ 1.008. The base duration is 20 minutes, and the adjusted duration is 20 ÷ 1.008 ≈ 19.8 minutes, so it is adjusted to 20 minutes. By combining the temperature range adjusted for skin sensitivity with the duration corrected for basal body temperature, a pre-selected hot compress parameter group one is formed for each patient. For example, for patients with highly sensitive skin and a basal body temperature of 36.2℃ who have qi stagnation and blood stasis, the final pre-selected hot compress parameter group one is a temperature of 36 to 38.7℃ and a duration of 25 minutes. This not only meets the patient's need to promote qi circulation and remove blood stasis, but also fully considers the influence of skin tolerance and body temperature on the effect of hot compress, laying the foundation for subsequent parameter adaptation and treatment control.

[0031] The first fit coefficient corresponding to the pre-selected hot compress parameter group one is obtained based on individual physiological data, specifically including: Set the body constitution adaptation weight, skin sensitivity adaptation weight, and body temperature adaptation weight; Based on the compatibility of the adjusted hot compress temperature range with the body type and the skin sensitivity coefficient in the pre-selected hot compress parameter group one, the body type skin compatibility score is obtained, and the body type skin assessment value is calculated by combining the body type compatibility weight and the skin sensitivity compatibility weight. Based on the compatibility between the modified hot compress duration and the baseline body temperature and the body temperature fluctuation coefficient in the pre-selected hot compress parameter group one, the body temperature compatibility score is obtained, and the body temperature assessment value is calculated by combining the body temperature compatibility weight. The physical condition and skin assessment values ​​are added together with the body temperature assessment values ​​to obtain the first adaptation coefficient corresponding to the pre-selected hot compress parameter group one.

[0032] Pre-set weights for constitution compatibility, skin sensitivity compatibility, and body temperature compatibility. These weights are based on the logic of Traditional Chinese Medicine (TCM) diagnosis and treatment and the core influencing factors of hot compress therapy: Constitution type directly determines the fundamental needs of hot compresses, such as warming the meridians and promoting qi circulation, and is the core basis for parameter adaptation; therefore, the constitution compatibility weight is set to the highest, typically 0.5. Abdominal skin sensitivity relates to the safety of hot compresses; excessively high temperatures can easily cause burns, so its weight is secondary, set at 0.3. Basal body temperature affects the actual effectiveness of hot compress duration, so its weight is relatively low, set at 0.2. The sum of the three weights is 1, ensuring the comprehensiveness and reasonable proportion of the evaluation dimensions. The body constitution and skin type assessment value is used to calculate the body constitution and skin type compatibility score. The score is determined by a combination of the compatibility between the adjusted heat application temperature range and the body constitution type, and the skin sensitivity coefficient. The compatibility between the adjusted temperature range and the body constitution is scored according to the degree of fit: 10 points for a perfect fit to the ideal temperature range corresponding to the body constitution, 8 points for a deviation of 1-2℃, 6 points for a deviation of 3-4℃, and 4 points or less for a deviation of more than 4℃. The compatibility between the skin sensitivity coefficient and the temperature adjustment also affects the score: 0.9 for highly sensitive skin, 1.0 for moderately sensitive skin, 1.1 for no change in temperature and low sensitivity, and 10 points for moderate increase in temperature. If the sensitivity coefficient contradicts the temperature adjustment, such as high-sensitive skin not cooling down, 2-4 points are deducted. The body constitution and skin type compatibility score is the average of the two scores, and then the assessment value is calculated by combining the body constitution compatibility weight and the skin sensitivity compatibility weight. For example, for patients with cold-induced blood stasis, the ideal temperature range is 42℃ to 45℃. After adjustment, the temperature range is 46.2℃ to 49.5℃. Due to the low sensitivity skin coefficient of 1.1, the temperature range is increased, resulting in a score of 10 for compatibility with the patient's constitution. The skin sensitivity coefficient of 1.1 corresponds to a reasonable temperature adjustment, also resulting in a score of 10. The overall compatibility score for the constitution and skin is (10+10)÷2=10. The overall skin assessment score is 10×(0.5+0.3)=8, which is the total weighting percentage corresponding to the full score of 10. For patients with qi stagnation and blood stasis, the ideal temperature range is 40℃ to 43℃. Due to the high sensitivity skin, the temperature range is adjusted to 36℃ to 38.7℃, a deviation of 3.3℃, ​​resulting in a score of 6 for compatibility with the patient's constitution. The skin coefficient of 0.9 corresponds to a reasonable temperature adjustment, resulting in a score of 10. The overall compatibility score is (6+10)÷2=8. The overall skin assessment score is 8×0.8=6.4. Calculate the body temperature assessment value; based on the compatibility between the corrected heat application duration and the basal body temperature, and the body temperature fluctuation coefficient, obtain the body temperature compatibility score: when the basal body temperature is lower than the standard value of 36.5℃, an extension of the corrected duration meets the requirements and earns 10 points, while no extension or shortening earns 6 points; when the basal body temperature is higher than the standard value, a reasonable shortening of the corrected duration earns 10 points, while no shortening earns 6 points; the matching degree between the body temperature fluctuation coefficient and the duration correction is as follows: the smaller the coefficient, the more the duration is extended. If it meets the standard, add 2 points; if it does not meet the standard, no points are added. The body temperature compatibility score is then multiplied by the body temperature compatibility weight to obtain the body temperature assessment value.

[0033] Taking a patient with Qi and Blood Deficiency type and a basal body temperature of 36.0℃ and a fluctuation coefficient of 0.986 as an example, the duration is extended from 30 minutes to 31 minutes after correction, which meets the requirement of extended duration for hypothermia and scores 10 points; the fluctuation coefficient of 0.986 corresponds to a duration extension of 1 minute, which meets the matching standard and adds 2 points, resulting in a body temperature fit score of 12 points and a body temperature assessment value of 10 × 0.2 = 2 points. If a patient with Qi Stagnation and Blood Stasis type and a basal body temperature of 36.8℃ has the duration not shortened after correction and remains at 20 minutes, the fit score is 6 points. The fluctuation coefficient of 1.008 does not meet the matching standard with the duration, so no points are added, and the score is 6 points, resulting in a body temperature assessment value of 6 × 0.2 = 1.2 points. The physical condition and skin assessment values ​​were added together to obtain the first fit coefficient, with a maximum score of 10 points, converted to a range of 0-1. For patients with cold-induced blood stasis, the physical condition and skin assessment value was 8 points and the body temperature assessment value was 2 points, for a total of 10 points, and the first fit coefficient was 1.0. For patients with qi stagnation and blood stasis, the physical condition and skin assessment value was 6.4 points and the body temperature assessment value was 1.2 points, for a total of 7.6 points, and the first fit coefficient was 0.76. For patients with qi and blood deficiency, the total of the two assessment values ​​was 10 points, and the coefficient was 1.0. The closer the first fit coefficient is to 1, the better the fit between the pre-selected hot compress parameter group one and the patient's physical condition, skin, and body temperature characteristics, providing a precise quantitative basis for the fit of subsequent parameter combinations and treatment control.

[0034] Based on the analysis of dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage disc 3 was obtained. Based on this second set of pre-selected massage parameters, a second set of massage parameters was obtained, which specifically includes: Based on pain level data, obtain the appropriate massage intensity range and massage frequency baseline values ​​for the corresponding pain level; Based on the duration of pain data, a duration influence coefficient is obtained. The massage intensity range is then adjusted in conjunction with the duration influence coefficient to obtain the adjusted massage intensity range. The frequency influence coefficient is obtained based on the pain attack frequency data. The massage frequency baseline value is then corrected based on the frequency influence coefficient to obtain the corrected massage frequency. The adjusted massage intensity range and corrected massage frequency are used as the second set of pre-selected massage parameters.

[0035] Based on pain level data, the massage intensity range and frequency baseline are determined. Pain level directly reflects the severity of dysmenorrhea and is the core basis for setting massage parameters. Preset basic parameter standards for different pain levels: Pain levels 1 to 3 are mild pain, indicating relatively mild blood stasis. Massage should be gentle and soothing, with a low intensity range and a frequency baseline of 40 times per minute to promote local blood circulation through gentle kneading; Pain levels 4 to 7 are moderate pain, indicating deeper stasis, requiring moderately increased massage stimulation. The intensity range is set to medium, and the frequency baseline is increased to 60 times per minute, using moderate-intensity circular kneading to dissipate stasis; Pain levels 8 to 10 are severe pain, indicating severe blood stasis, requiring stronger massage to unblock meridians. The intensity range is medium to high, and the frequency baseline is set to 70 times per minute, using a combination of slightly faster-frequency acupressure and kneading to relieve severe pain. For example, if a patient's pain level is 9, a medium to high intensity range and a frequency baseline of 70 times per minute are retrieved from the parameter library as the initial parameters. Based on the duration of pain data, a duration-influence coefficient is calculated to adjust the range of massage intensity. The longer the pain lasts, the more easily local tissues become tense and fatigued, and the tolerance to massage intensity changes over time. The duration-influence coefficient is set as follows: For durations under 1 hour, tissue condition is good and tolerance is high, so the coefficient is set to 1.1, and the intensity can be appropriately increased to enhance the effect; for durations of 1 to 3 hours, tissues begin to show slight fatigue and tolerance is moderate, so the coefficient is set to 1.0, and the intensity range remains unchanged; for durations exceeding 3 hours, tissue fatigue is significant and tolerance decreases, so the coefficient is set to 0.9, and the intensity needs to be reduced to avoid pain. To avoid overstimulation, the initial intensity range is scaled proportionally according to a coefficient during adjustment to obtain an intensity range that matches the duration characteristics. For example, for a patient with a pain level of 9 whose pain has lasted for 4 hours, the duration influence coefficient is 0.9. The initial medium-high intensity range corresponds to an actual pressure value of 3 to 5 Newtons. After adjustment, the intensity range becomes 2.7 to 4.5 Newtons, which retains a certain level of stimulation intensity while avoiding aggravating tissue fatigue. For a patient with moderate pain level 6 whose pain has lasted for only 40 minutes, the coefficient is 1.1. The initial medium intensity of 1.5 to 3 Newtons is adjusted to 1.65 to 3.3 Newtons, which quickly relieves symptoms with slightly stronger intensity.

[0036] The frequency influence coefficient was calculated based on the frequency of pain attacks to adjust the baseline value of massage frequency. The frequency of pain attacks reflects the recurrence pattern of dysmenorrhea. The higher the frequency, the stronger the adaptability of local tissues to massage stimulation. The logic for setting the frequency influence coefficient is as follows: 1 attack per month or less: tissues are sensitive to frequency, coefficient is set to 0.9, frequency should be reduced to avoid discomfort; 2 to 3 attacks per month: tissue adaptability is moderate, coefficient is set to 1.0, frequency remains unchanged; 4 attacks per month or more: tissue adaptability is strong, coefficient is set to 1.1, frequency can be increased to enhance therapeutic effect; during adjustment... Multiply the baseline massage frequency by the frequency influence coefficient to obtain the final frequency that matches the pattern of attacks. For example, for a patient with pain level 9 lasting 4 hours, if the attack occurs once a month, the frequency influence coefficient is 0.9, and the initial baseline frequency of 70 times per minute is corrected to 63 times. If a patient with moderate pain level 5 attacks 3 times a month, the coefficient is 1.0, and the initial frequency of 60 times per minute remains 60 times. For a patient with mild pain level 2 who attacks 5 times a month, the coefficient is 1.1, and the initial frequency of 40 times per minute is corrected to 44 times. By using a slightly faster frequency, the long-term conditioning effect is enhanced. By combining the intensity range adjusted for duration and the frequency corrected for frequency, a second set of pre-selected massage parameters is formed for patients with pain characteristics. For example, for patients with pain level 9, lasting for 4 hours, and recurring once a month, the final second set of pre-selected massage parameters is an intensity of 2.7 to 4.5 Newtons and a frequency of 63 times per minute. This not only meets the need for relief of severe pain, but also adapts to the tissue tolerance and sensitivity characteristics of low recurrence frequency after prolonged pain, providing a precise massage parameter basis for subsequent parameter coordination and treatment control.

[0037] Based on the dysmenorrhea symptom data, the second fitting coefficient corresponding to the pre-selected massage parameter group two was obtained, specifically including: Set the pain level adaptation weight, duration adaptation weight, and frequency adaptation weight; Based on the compatibility between the adjusted massage intensity range and pain level in the pre-selected massage parameter group 2, and the duration influence coefficient, the pain duration compatibility score is obtained. The pain duration assessment value is calculated by combining the pain level compatibility weight and the duration compatibility weight. The frequency fit score is obtained based on the fit between the modified massage frequency and the pain attack frequency in the second set of pre-selected massage parameters, and the frequency influence coefficient. The frequency evaluation value is then calculated by combining the frequency fit weight. The pain duration assessment value and the frequency assessment value are added together to obtain the second adaptation coefficient corresponding to the second pre-selected massage parameter group.

[0038] Pain level adaptation weights, duration adaptation weights, and frequency adaptation weights are pre-set. The weight settings are based on the core logic of massage therapy for relieving dysmenorrhea: pain level directly determines the basic requirements for massage intensity and frequency, which is the core of parameter adaptation. Therefore, the pain level adaptation weight is set to the highest, usually 0.5; the duration of pain affects the tissue's tolerance to massage intensity, which is related to the safety and comfort of treatment, so the weight is second, set to 0.3; the frequency of pain attacks affects the tissue's adaptability to massage frequency, so the weight is relatively low, set to 0.2; the sum of the three weights is 1, ensuring that the evaluation dimensions are comprehensive and the key points are highlighted. Calculate the pain duration assessment value; first, obtain the pain duration adaptation score. The score is determined by the adaptation of the adjusted massage intensity range to the pain level and the duration influence coefficient. The adaptation of the adjusted intensity range to the pain level is scored according to the degree of fit: 10 points for completely matching the ideal intensity range corresponding to the level, 6 points for deviating by one level (e.g., using a slight intensity for moderate pain), and 3 points for deviating by two levels. The duration influence coefficient and the adaptation of intensity adjustment also affect the score: 0.9 for a duration of more than 3 hours, 1.0 for reducing the intensity for 1 to 3 hours, 1.1 for no change in intensity for 1 hour, and 10 points for increasing the intensity. If the coefficient contradicts the adjustment, such as prolonged pain without reducing the intensity, deduct 3 to 5 points. The pain duration adaptation score is the average of the two scores, and then the assessment value is calculated by combining the pain level adaptation weight and the duration adaptation weight. For example, a patient with severe pain at level 9 has an ideal intensity range of medium to high. After adjustment, the intensity range decreases to the lower-middle range due to a coefficient of 0.9 after 4 hours, resulting in a fit of 8 points with the pain level. The duration coefficient of 0.9 corresponds to a reasonable reduction in intensity, earning 10 points. The pain duration fit score is (8+10)÷2=9 points, and the pain duration assessment value is 9×(0.5+0.3)=7.2 points, which is the total weight percentage corresponding to the full score of 10. For a patient with moderate pain at level 6, the ideal intensity is medium. After 40 minutes, the coefficient is increased to the upper-middle range, resulting in a fit score of 10 points. The duration coefficient matches the adjustment, earning 10 points, resulting in a fit score of 10 points, and the pain duration assessment value is 10×0.8=8 points.

[0039] Calculate the frequency assessment value; based on the fit between the corrected massage frequency and the frequency of pain attacks, and the frequency influence coefficient, obtain the frequency fit score: 10 points are awarded for an attack frequency of 1 time per month or less with a coefficient of 0.9 and a reduction in frequency, 1.0 for 2 to 3 times per month with no change in frequency, and 1.1 for 4 times or more with an increase in frequency, and 6 points are awarded for not adjusting the frequency accordingly; 2 points are added for the matching degree between the frequency influence coefficient and the frequency correction, if the frequency increase is reasonable and meets the standard for high-frequency attacks, and no points are added if it does not meet the standard; the frequency fit score is then multiplied by the frequency fit weight to obtain the frequency assessment value. For example, a patient with severe pain (level 9) occurring once a month receives a frequency reduction from 70 times per minute to 63 times per minute after adjustment with a frequency factor of 0.9, which meets the adjustment requirement for low-frequency attacks and scores 10 points. A frequency reduction of 7 times corresponds to a coefficient of 0.9, which meets the matching standard and adds 2 points, resulting in a frequency fit score of 12 points and a frequency assessment value of 10 × 0.2 = 2 points. For a patient with mild pain (level 2) occurring 5 times a month, receiving a frequency reduction from 40 times per minute to 44 times per minute after adjustment with a frequency factor of 1.1, scores 10 points for fit. The coefficient matches the adjustment range and adds 2 points, resulting in a score of 10 points and a frequency assessment value of 10 × 0.2 = 2 points. For a patient with moderate pain (level 5) occurring twice a month, receiving a frequency reduction of 55 times per minute instead of maintaining 60 times per minute according to a coefficient of 1.0, scores 6 points for fit, with no additional points, and a frequency assessment value of 6 × 0.2 = 1.2 points. The pain duration assessment value and frequency assessment value were added together to obtain the second fit coefficient, with a full score of 10 points converted to the 0-1 range. The pain duration assessment value of a patient with severe pain occurring once a month was 7.2 points, the frequency assessment value was 2 points, and the total score was 9.2 points, with a second fit coefficient of 0.92. The pain duration assessment value of a patient with mild pain occurring five times a month was 8 points, the frequency assessment value was 2 points, and the total score was 10 points, with a coefficient of 1.0. The pain duration assessment value of a patient with moderate pain occurring twice a month was 7 points, the frequency assessment value was 1.2 points, and the total score was 8.2 points, with a coefficient of 0.82. The closer the second fit coefficient is to 1, the better the fit between the pre-selected massage parameter group 2 and the patient's dysmenorrhea symptom characteristics, providing a reliable quantitative reference for the subsequent synergistic optimization of heat application and massage parameters.

[0040] By performing a collaborative analysis of the first set of heat therapy parameters and the second set of massage parameters, candidate parameter combinations for the heat therapy massage disc 3 are obtained. Furthermore, based on the first and second adaptation coefficients, a comprehensive adaptation coefficient corresponding to the candidate parameter combinations is derived, specifically including: The optional parameter combinations for the hot compress massage disc 3 include associated optional parameter combinations and independent optional parameter combinations; Pair the pre-selected hot compress parameter group 1 and pre-selected massage parameter group 2 that have a symptom-physiological correlation with massage parameter group 2 in hot compress parameter group 1, and record them as the associated candidate parameter combination. Set the weight values ​​for heat therapy and massage; Based on the first adaptation coefficient and heat therapy adaptation weight of the pre-selected hot compress parameter group one and the second adaptation coefficient and massage adaptation weight of the pre-selected massage parameter group two in the associated candidate parameter combination, the comprehensive adaptation coefficient corresponding to the associated candidate parameter combination is obtained. The unrelated pre-selected hot compress parameter group 1 in hot compress parameter set 1 and the unrelated pre-selected massage parameter group 2 in massage parameter set 2 are respectively recorded as independent candidate parameter combinations; If the independent candidate parameter combination is the first pre-selected hot compress parameter group, then its corresponding first adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination. If the independent candidate parameter combination is the second pre-selected massage parameter group, then its corresponding second adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination.

[0041] Two types of candidate parameter combinations are identified: associated candidate parameter combinations and independent candidate parameter combinations. The core characteristic of associated candidate parameter combinations is that there is a correlation between symptoms and physiology behind the heat application and massage parameters. That is, the individual physiological data corresponding to the pre-selected heat application parameters and the dysmenorrhea symptom data corresponding to the pre-selected massage parameters belong to the same patient or have highly matched pathophysiological characteristics. The two have synergy in terms of treatment goals. Independent candidate parameter combinations refer to a single parameter group in which no corresponding associated massage parameter is found in the heat application parameter set or no corresponding associated heat application parameter is found in the massage parameter set. These parameter groups can only reflect the treatment suitability of a certain aspect on their own.

[0042] Constructing candidate parameter combinations; matching parameter groups with symptom-physiological correlations in hot compress parameter set 1 and massage parameter set 2 using data labels, and judging from two aspects: 1. Attribution correlation, that is, both sets of parameters come from the same patient, such as the pre-selected hot compress parameter set 1 corresponding to the patient's cold-blood stasis constitution and the pre-selected massage parameter set 2 corresponding to the patient's level 8 pain, which naturally have an attribution correlation; 2. Pathological correlation, that is, different patients but with highly consistent physiological and symptom characteristics, such as the hot compress parameter set for patient A with qi and blood deficiency constitution and the massage parameter set for patient B with level 3 pain lasting 1 hour, because qi and blood deficiency is often accompanied by mild short-term pain, which has a pathological fit correlation; after the pairing is completed, the combination is marked as a candidate parameter combination; for example, pairing the hot compress parameter set 1 for cold-blood stasis constitution with the massage parameter set 2 for level 8 pain forms a candidate parameter combination.

[0043] Calculate the comprehensive fit coefficient of the associated candidate parameter combinations; pre-set the fit weights for heat application and massage, with the weight allocation based on the synergistic relationship between heat application and massage in dysmenorrhea treatment. Heat application focuses on improving physiological conditions such as warming and unblocking meridians through thermal effects, while massage focuses on relieving immediate symptoms such as dispersing blood stasis through mechanical stimulation. Both are equally important, therefore, the fit weights for both heat application and massage are usually set to 0.5 to ensure a balanced proportion of their fit in the comprehensive evaluation. During calculation, the first value of the pre-selected heat application parameter group one in the associated combination is used. The first adaptation coefficient is multiplied by the heat therapy adaptation weight, and then the second adaptation coefficient of the pre-selected massage parameter group two is multiplied by the massage adaptation weight to obtain the comprehensive adaptation coefficient of the associated combination. For example, in the associated combination, the first adaptation coefficient is 0.88, the second adaptation coefficient is 0.92, and the comprehensive adaptation coefficient is 0.88×0.5+0.92×0.5=0.9; the first adaptation coefficient of the associated combination is 0.76, the second adaptation coefficient is 0.82, and the comprehensive adaptation coefficient is 0.76×0.5+0.82×0.5=0.79.

[0044] Process independent candidate parameter combinations and determine their comprehensive fit coefficients; check each set of hot compress parameters (set 1) and massage parameters (set 2) one by one, and mark parameter groups that do not enter any associated combinations as independent candidate parameter combinations; if an independent combination comes from the pre-selected hot compress parameter group 1 of hot compress parameter set 1, it means that it lacks a corresponding massage parameter match. In this case, the comprehensive fit coefficient directly adopts the first fit coefficient of the parameter group itself, because this coefficient can fully reflect its fit with individual physiological data. For example, if the pre-selected hot compress parameter group 1 does not find an associated massage parameter, its first fit coefficient is 0.85, then the comprehensive fit coefficient of this independent combination is 0.85; if an independent combination comes from the pre-selected massage parameter group 2 of massage parameter set 2, similarly, the comprehensive fit coefficient directly adopts its corresponding second fit coefficient. For example, if the second fit coefficient of the pre-selected massage parameter group 2 is 0.78, then the comprehensive fit coefficient of its independent combination is 0.78.

[0045] Through classification and calculation, a comprehensive list of adaptation coefficients is obtained, which includes all related and independent candidate parameter combinations. This list intuitively reflects the adaptation level of different parameter combinations or single parameter groups to treatment needs. The coefficients of related combinations reflect the adaptability of hot compress and massage combined treatment, while the coefficients of independent combinations reflect the adaptability of a single treatment method. This lays a precise quantitative foundation for the subsequent control module to screen target parameters according to the treatment adaptation level.

[0046] The treatment fit level of the candidate parameter combination is obtained based on the comprehensive fit coefficient. Then, based on the treatment fit level, the candidate parameter combination of the hot compress massage disc 3 is screened and analyzed to obtain the target control parameters for patients with dysmenorrhea in traditional Chinese medicine gynecology, specifically including: The treatment fit levels of all candidate parameter combinations are compared pairwise to obtain the parameter overlap between any two candidate parameter combinations. The parameter overlap is compared with a preset parameter overlap threshold. If the parameter overlap between the candidate parameter combination and all other candidate parameter combinations is less than or equal to the parameter overlap threshold, then the candidate parameter combination is denoted as the target control parameter. If the parameter overlap between the candidate parameter combination and at least one other candidate parameter combination is greater than the parameter overlap threshold, the treatment priority corresponding to the candidate parameter combination is obtained based on the comprehensive fit coefficient, and the candidate parameter combination with the highest treatment priority is recorded as the target control parameter. The treatment priority corresponding to the combination of candidate parameters is positively correlated with the comprehensive fit coefficient of the combination of candidate parameters.

[0047] The comprehensive fit coefficient is mapped to the treatment fit level of the candidate parameter combination. The comprehensive fit coefficient ranges from 0 to 1. The higher the coefficient, the better the fit between the parameter combination and the patient's physiological characteristics and symptom needs, and the higher the corresponding treatment fit level. The levels are usually divided according to the coefficient range: 0.9 and above is Level 1 fit, indicating the best fit; 0.8 to 0.89 is Level 2 fit, indicating good fit; 0.7 to 0.79 is Level 3 fit, indicating acceptable fit; and below 0.7 is Level 4 fit, indicating insufficient fit. For example, the comprehensive fit coefficient of the associated candidate parameter combination is 0.9, corresponding to Level 1 fit; the comprehensive fit coefficient of the independent hot compress parameter combination is 0.85, corresponding to Level 2 fit; and the comprehensive fit coefficient of the independent massage parameter combination is 0.76, corresponding to Level 3 fit. The treatment suitability levels of all candidate parameter combinations are compared pairwise to calculate the parameter overlap between any two combinations. Parameter overlap measures the degree of similarity between different combinations in core parameters, including the heat application temperature range, heat application duration, massage intensity range, and massage frequency. The calculation first compares the corresponding dimensions of the two sets of parameters: if the overlapping temperature range accounts for more than 50% of the smaller range, the duration difference is within 5 minutes, the intensity range is at the same level, and the frequency difference is within 10 times per minute, these are all considered overlapping items. The number of overlapping items is then divided by the total number of parameters. The number of dimensions determines the parameter overlap. For example, combination A has a temperature of 41℃ to 44℃, a duration of 25 minutes, a medium intensity, and a frequency of 60 times per minute. Combination B has a temperature of 42℃ to 45℃, a duration of 23 minutes, a medium intensity, and a frequency of 55 times per minute. The two groups overlap in temperature, intensity, and frequency, with a duration difference of 2 minutes. All four parameters overlap, resulting in a parameter overlap of 1. Combination C has a temperature of 38℃ to 41℃, a duration of 30 minutes, and no massage parameters. Combination D has no heat therapy parameters, a low intensity, and a frequency of 40 times per minute. The two groups have no parameter dimension overlap, resulting in a parameter overlap of 0. The calculated parameter overlap is compared with the preset parameter overlap threshold. The parameter overlap threshold is the standard for judging whether there is functional redundancy in different combinations. It is usually set to 0.7. That is, when the overlap of two sets of parameters exceeds 70%, it means that the two are highly similar in terms of therapeutic effect and mode of action and do not need to be retained at the same time. When it is less than or equal to 70%, it means that each has its own emphasis and can be used as an alternative independently. Enter the case-by-case screening stage; when the overlap of the candidate parameter combination with all other combinations is less than or equal to the threshold, the combination is unique and has no functional redundancy, and can be directly recorded as the target control parameter. For example, the patient's candidate combinations include the associated combination E (Level 1 adaptation), with an overlap of 0.5 with all other combinations, and the independent hot compress combination F (Level 2 adaptation), with an overlap of 0.3 with all other combinations. The overlap of both is below the threshold of 0.7. In this case, it is necessary to select based on the treatment needs. If the patient needs combined hot compress and massage treatment, select combination E; if only hot compress is needed, select combination F. Both can be used as target control parameters. When the overlap between the parameters of a candidate parameter combination and at least one other combination is greater than a threshold, the treatment priority of each overlapping combination is determined based on the comprehensive fit coefficient. The priority is positively correlated with the comprehensive fit coefficient; the higher the coefficient, the higher the priority. For example, among the candidate combinations, combination G has a comprehensive fit coefficient of 0.92, the first-level fit and combination H have a comprehensive fit coefficient of 0.85, and the parameter overlap of the second-level fit is 0.8, which is greater than the threshold of 0.7. The two form an overlapping relationship. Since 0.92 is greater than 0.85, the treatment priority of combination G is higher than that of combination H, and the system records combination G as the target control parameter. If there are multiple overlapping combinations, such as combination I with a comprehensive fit coefficient of 0.9, combination J with a comprehensive fit coefficient of 0.88, and combination K with a comprehensive fit coefficient of 0.8, the priority order is I > J > K, and combination I is selected as the target control parameter. For example, for patients with cold-induced blood stasis, there are three sets of parameter combinations to choose from: Combination 1 is a combined temperature of 42℃ to 45℃, duration of 25 minutes, medium-high intensity, and frequency of 70 times per minute, with a comprehensive compatibility coefficient of 0.95, classified as Level 1 compatibility; Combination 2 is a combined temperature of 41℃ to 44℃, duration of 23 minutes, medium-high intensity, and frequency of 68 times per minute, with a comprehensive compatibility coefficient of 0.9, classified as Level 1 compatibility; Combination 3 is an independent hot compress combination with a temperature of 43℃ to 46℃ and a duration of 26 minutes, with a comprehensive compatibility coefficient of 0.9, classified as Level 1 compatibility. With a coefficient of 0.85, the model is a level 2 fit. After pairwise comparison, the parameter overlap between combination 1 and combination 2 is 0.9, which is greater than the threshold of 0.7, indicating that they overlap. The overlap between combination 1, combination 2 and combination 3 is 0.6 and 0.5, respectively, both of which are lower than the threshold. At this point, the overlapping combination 1 and combination 2 are processed first. Since 0.95 > 0.9, combination 1 has a higher priority. Finally, combination 1 is determined as the target control parameter. Its parameters can achieve the optimal synergy between hot compress and massage, and accurately adapt to the patient's physical condition and severe dysmenorrhea symptoms. If there is no overlap among the patient's available combinations, such as combination A being a Level 1 fit with an overlap of 0.4, combination B being a Level 2 fit with an overlap of 0.3, and combination C being a Level 3 fit with an overlap of 0.2, then the patient can choose according to their immediate needs. When the pain is severe, the Level 1 fit combination A can be selected, and when the symptoms are milder, the Level 2 fit combination B can be selected, flexibly meeting the needs of different treatment scenarios.

[0048] The connecting belt 1 is provided with a first connecting box 5 and a second connecting box 6. The buckle 2 is fixedly connected to the outer side wall of the first connecting box 5. The second connecting box 6 is fixedly connected with a sliding block 7. The sliding block 7 has a through hole 8 for the connecting belt 1 to pass through. The sliding block 7 is slidably connected to the connecting belt 1 through the through hole 8. The hot compress massage plate 3 is fixedly connected to the inner side wall of the first connecting box 5 and the second connecting box 6, and the massage head 4 passes through the side wall of the connecting box 5 and the second connecting box 6 and is arranged opposite to each other.

[0049] Both the first connecting box 5 and the second connecting box 6 are equipped with heating resistance wires, which are fixedly connected to the hot compress massage plate 3. The hot compress massage plate 3 is heated by the heating resistance wires, and the heat is transferred to the user's skin surface through the massage head 4 to achieve hot compress massage treatment for the user. Both the first connecting box 5 and the second connecting box 6 are equipped with existing energy storage devices, and the wires on the heating resistance wires and the massage head 4 are electrically connected to the storage battery.

[0050] The massage head 4 is externally fitted with a loading box 10, which is hemispherical in shape. The loading box 10 is fixed to the massage head 4 by existing technical means such as threaded connection or detachable screw connection. The loading box 10 is made of heat-conducting material, and a silicone protective sleeve 11 is wrapped around the outer wall of the loading box 10. Both the silicone protective sleeve 11 and the loading box 10 have mutually cooperating ventilation holes 9. The loading box 10 is used to hold mugwort leaves. When the user performs a hot compress massage, the mugwort leaves can be placed in the loading box 10, and the massage head 4 and the loading box 10 are heated by the heating resistance wire. At the same time, the mugwort leaves in the loading box 10 are heated, so that the heat from the mugwort leaves is dissipated to the user's skin surface through the ventilation holes 9. Thus, the user can achieve the effect of moxibustion while performing a hot compress massage, which can further relieve the discomfort caused by menstruation.

[0051] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A traditional Chinese medicine gynecological treatment device for dysmenorrhea, comprising a connecting belt (1), wherein one end of the connecting belt (1) is provided with a buckle (2), and the other end of the connecting belt (1) is engaged with the buckle (2), characterized in that, Also includes: Massage module: The massage module includes a hot compress massage plate (3), which is mounted on a connecting belt (1) and has massage heads (4). Data acquisition module: Acquires individual physiological data and dysmenorrhea symptom data of patients with dysmenorrhea in traditional Chinese medicine gynecology; Data analysis module: Based on the individual physiological data, the module analyzes and obtains the first set of pre-selected hot compress parameters for the hot compress massage disc (3), and obtains the first set of hot compress parameters based on the first set of pre-selected hot compress parameters. The first adaptation coefficient corresponding to the pre-selected hot compress parameter group is obtained based on the individual physiological data. Based on the dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage plate (3) is obtained, and a second set of massage parameters is obtained based on the second set of pre-selected massage parameters. Based on the dysmenorrhea symptom data, the second adaptation coefficient corresponding to the pre-selected massage parameter group two is obtained; Data adaptation module: The hot compress parameter set one and the massage parameter set two are analyzed collaboratively to obtain the candidate parameter combination of the hot compress massage plate (3), and the comprehensive adaptation coefficient corresponding to the candidate parameter combination is obtained according to the first adaptation coefficient and the second adaptation coefficient. Control module: Based on the comprehensive adaptation coefficient, the treatment adaptation level of the candidate parameter combination is obtained, and the candidate parameter combination of the hot compress massage plate (3) is screened and analyzed based on the treatment adaptation level to obtain the target control parameters for the patients with dysmenorrhea in traditional Chinese medicine gynecology.

2. The traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 1, characterized in that, The individual physiological data includes the constitution type data, abdominal skin sensitivity data, and basal body temperature data of patients with dysmenorrhea in traditional Chinese medicine gynecology. The data on dysmenorrhea symptoms includes pain level data, pain duration data, and pain frequency data for patients with dysmenorrhea in traditional Chinese medicine gynecology.

3. The traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 2, characterized in that, Based on the analysis of the individual physiological data, a pre-selected set of heat therapy parameters for the heat therapy massage disc (3) is obtained. Based on the pre-selected set of heat therapy parameters, a set of heat therapy parameters is obtained, which specifically includes: Based on the body type data, obtain the corresponding body type's suitable hot compress temperature range and hot compress duration baseline values; Based on the abdominal skin sensitivity data, a skin sensitivity coefficient is obtained. The hot compress temperature range is then adjusted based on the skin sensitivity coefficient to obtain the adjusted hot compress temperature range. The body temperature fluctuation coefficient is obtained based on the basal body temperature data. The body temperature fluctuation coefficient is then used to correct the baseline value of the hot compress duration to obtain the corrected hot compress duration. The adjusted heat application temperature range and the corrected heat application duration are used as the first set of pre-selected heat application parameters.

4. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 3, characterized in that, Based on the individual physiological data, the first adaptation coefficient corresponding to the pre-selected hot compress parameter group one is obtained, specifically including: Set the body constitution adaptation weight, skin sensitivity adaptation weight, and body temperature adaptation weight; Based on the compatibility of the adjusted hot compress temperature range with the body type and the skin sensitivity coefficient in the pre-selected hot compress parameter group one, the body type skin compatibility score is obtained, and the body type skin assessment value is calculated by combining the body type compatibility weight and the skin sensitivity compatibility weight. The body temperature fit score is obtained based on the compatibility between the modified heat application time and the baseline body temperature and the body temperature fluctuation coefficient in the pre-selected heat application parameter group one. The body temperature assessment value is then calculated in combination with the body temperature fit weight. The physical condition and skin assessment value are added together with the body temperature assessment value to obtain the first adaptation coefficient corresponding to the pre-selected hot compress parameter group one.

5. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 4, characterized in that, Based on the analysis of the dysmenorrhea symptom data, a second set of pre-selected massage parameters for the hot compress massage plate (3) is obtained. Based on the second set of pre-selected massage parameters, a second set of massage parameters is obtained, which specifically includes: Based on the pain level data, obtain the appropriate massage intensity range and massage frequency baseline value for the corresponding pain level; Based on the pain duration data, a duration influence coefficient is obtained. The massage intensity range is then adjusted in conjunction with the duration influence coefficient to obtain the adjusted massage intensity range. The frequency influence coefficient is obtained based on the pain attack frequency data. The massage frequency benchmark value is then corrected based on the frequency influence coefficient to obtain the corrected massage frequency. The adjusted massage intensity range and corrected massage frequency are used as the second set of pre-selected massage parameters.

6. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 5, characterized in that, Based on the dysmenorrhea symptom data, the second fitting coefficient corresponding to the pre-selected massage parameter group two is obtained, specifically including: Set the pain level adaptation weight, duration adaptation weight, and frequency adaptation weight; Based on the compatibility between the adjusted massage intensity range and the pain level in the pre-selected massage parameter group two, and the duration influence coefficient, the pain duration compatibility score is obtained. The pain duration assessment value is then calculated by combining the pain level compatibility weight and the duration compatibility weight. The frequency fit score is obtained based on the fit between the modified massage frequency and the pain attack frequency in the pre-selected massage parameter group 2 and the frequency influence coefficient. The frequency evaluation value is then calculated in combination with the frequency fit weight. The pain duration assessment value and the frequency assessment value are added together to obtain the second adaptation coefficient corresponding to the second pre-selected massage parameter group.

7. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 6, characterized in that, The hot compress parameter set one and the massage parameter set two are analyzed collaboratively to obtain the candidate parameter combination of the hot compress massage plate (3), and the comprehensive adaptation coefficient corresponding to the candidate parameter combination is obtained according to the first adaptation coefficient and the second adaptation coefficient, specifically including: The optional parameter combinations of the hot compress massage plate (3) include associated optional parameter combinations and independent optional parameter combinations; Pair the pre-selected hot compress parameter group 1 and pre-selected massage parameter group 2 that have a symptom-physiological correlation with massage parameter group 2 in hot compress parameter group 1, and record them as the associated candidate parameter combination. Set the weight values ​​for heat therapy and massage; Based on the first adaptation coefficient and heat therapy adaptation weight of the pre-selected hot compress parameter group one and the second adaptation coefficient and massage adaptation weight of the pre-selected massage parameter group two in the associated candidate parameter combination, the comprehensive adaptation coefficient corresponding to the associated candidate parameter combination is obtained. The unrelated pre-selected hot compress parameter group 1 in hot compress parameter set 1 and the unrelated pre-selected massage parameter group 2 in massage parameter set 2 are respectively recorded as independent candidate parameter combinations; If the independent candidate parameter combination is the first pre-selected hot compress parameter group, then its corresponding first adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination. If the independent candidate parameter combination is the second pre-selected massage parameter group, then its corresponding second adaptation coefficient is recorded as the comprehensive adaptation coefficient corresponding to the independent candidate parameter combination.

8. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 7, characterized in that, Based on the comprehensive fit coefficient, the treatment fit level of the candidate parameter combination is obtained, and based on the treatment fit level, the candidate parameter combination of the hot compress massage plate (3) is screened and analyzed to obtain the target control parameters for the patients with dysmenorrhea in traditional Chinese medicine gynecology, specifically including: The treatment fit levels of all candidate parameter combinations are compared pairwise to obtain the parameter overlap between any two candidate parameter combinations. The parameter overlap is compared with a preset parameter overlap threshold. If the parameter overlap of the candidate parameter combination with all other candidate parameter combinations is less than or equal to the parameter overlap threshold, then the candidate parameter combination is denoted as the target control parameter. If the parameter overlap between the candidate parameter combination and at least one other candidate parameter combination is greater than the parameter overlap threshold, then the treatment priority corresponding to the candidate parameter combination is obtained according to the comprehensive fit coefficient, and the candidate parameter combination with the highest treatment priority is recorded as the target control parameter. The treatment priority corresponding to the combination of candidate parameters is positively correlated with the comprehensive fit coefficient of the combination of candidate parameters.

9. A traditional Chinese medicine gynecological dysmenorrhea treatment device according to claim 8, characterized in that, The connecting band (1) is provided with a first connecting box (5) and a second connecting box (6). The buckle (2) is fixedly connected to the outer side wall of the first connecting box (5). The second connecting box (6) is fixedly connected with a sliding block (7). The sliding block (7) has a through hole (8) for the connecting band (1) to pass through. The sliding block (7) is slidably connected to the connecting band (1) through the through hole (8). The hot compress massage plate (3) is fixedly connected to the inner side wall of the first connecting box (5) and the second connecting box (6). The massage head (4) passes through the side wall of the connecting box (5) and the second connecting box (6) and is arranged opposite to each other.

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