Intelligent temperature control traditional Chinese medicine hot compress equipment for uterus cold physiotherapy

Abstract

The invention relates to the technical field of hot compress equipment, in particular to intelligent temperature control traditional Chinese medicine hot compress equipment for uterus cold physiotherapy, which is characterized in that before the hot compress process, the volatilization speeds of hot compress medicinal materials at different temperatures are determined according to the medicinal material weight change of each hot compress medicinal material at different test temperatures in advance; on this basis, a relation model between the volatilization speed and the temperature is constructed, and a volatilization speed change curve is determined; determining a reference relieving degree at each sampling moment based on the relieving condition of the uterus cold spasm represented by the hot compress electromyographic signals; and finally determining the optimal regulation and control temperature according to the temperature regulation and control degree reflected by the reference relieving degree and the volatilization conditions at different temperatures reflected on the volatilization speed change curve. And the hot compress effect of the traditional Chinese medicine hot compress is better after real-time regulation and control according to the optimal regulation and control temperature.

Description

Technical Field

[0001] This invention relates to the field of hot compress equipment technology, specifically to an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine cold. Background Technology

[0002] Cold uterus manifests as cold hands and feet, dysmenorrhea, and menstrual disorders, seriously affecting women's quality of life. Traditional Chinese medicine hot compresses promote blood circulation and drug penetration through heat to treat cold uterus. Existing traditional Chinese medicine hot compress equipment usually uses a fixed temperature for hot compresses. However, a fixed temperature cannot adapt to the volatility characteristics of different types of medicinal materials, which may lead to excessive loss of efficacy. When the temperature is set too high, it will accelerate the dissipation of volatile drug components such as sesquiterpenes, resulting in waste of effective ingredients. Therefore, the hot compress effect of using a fixed temperature for traditional Chinese medicine hot compresses is poor. Summary of the Invention

[0003] To address the poor heat therapy performance of existing technologies using fixed-temperature herbal compresses, this application aims to provide an intelligent temperature-controlled herbal compress device for treating uterine coldness. The specific technical solution adopted is as follows: This application provides an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine cold, comprising: The data acquisition module is used to collect the weight time-series curve of each medicinal material during the heating process at each test temperature before the hot compress process; and to collect the electromyographic signals of the hot compress process and the comparative electromyographic signals before the hot compress. The parameter determination module is used to determine the overall evaporation rate of each hot compress medicine at each test temperature based on the time decay of the weight time-series curve of the medicine; to determine the evaporation rate change curve based on the overall evaporation rate of each hot compress medicine at all test temperatures; and to determine the reference relief level at each sampling time based on the similarity between the local signal fluctuation at each sampling time in the hot compress electromyography signal and the fluctuation of the comparative electromyography signal. The hot compress temperature control module is used to determine the optimal control temperature at the current control time based on the reference relief level at the current control time and the volatilization rate change curve of the hot compress medicine used; and to perform real-time control of the hot compress temperature of traditional Chinese medicine based on the optimal control temperature.

[0004] Furthermore, the process of obtaining the overall evaporation rate includes: On the time-series curve of the medicinal material weight, the absolute value of the slope of the tangent at each measurement moment is taken as the corresponding instantaneous volatilization rate; the difference between the instantaneous volatilization rate at each measurement moment and the instantaneous volatilization rate at the previous measurement moment is negatively correlated and mapped as the reference weight for each measurement moment; the weighted volatilization rate at each measurement moment is determined based on the product of the reference weight and the instantaneous volatilization rate; and the overall volatilization rate of each hot compress medicinal material at each test temperature is determined based on the mean of the weighted volatilization rates at all measurement moments.

[0005] Furthermore, the process of obtaining the evaporation rate change curve includes: A temperature-evaporation rate coordinate system is constructed with the magnitude of the test temperature as the horizontal axis and the magnitude of the overall evaporation rate as the vertical axis; Based on the overall evaporation rate of each hot compress medicine at various test temperatures, all coordinate points of each hot compress medicine in the temperature-evaporation rate coordinate system are determined; curve fitting is performed on all coordinate points to determine the evaporation rate change curve.

[0006] Furthermore, the process of obtaining the reference mitigation level includes: The time period consisting of a preset number of sampling times preceding each sampling time is taken as the local time period of each sampling time; The degree of electromyographic disturbance at each sampling moment is determined based on the fluctuation deviation between the local signal and the comparative electromyographic signal of the hot compress electromyographic signal during the local time period. The degree of local relief at each sampling moment is determined based on the temporal attenuation of the overall deviation of the maximum value of the hot-applied electromyographic signal between the local signal and the comparative electromyographic signal during the local time period. The reference relief level at each sampling time is determined by multiplying the negative correlation mapping value of the degree of electromyographic disorder with the degree of local relief.

[0007] Furthermore, the process of obtaining the degree of electromyographic disturbance includes: In the electromyographic signal obtained from the hot compress, the standard deviation of the signal value at all sampling times within the local time period is calculated to determine the local signal variability; the standard deviation of the signal value at all sampling times in the comparative electromyographic signal is calculated to determine the comparative signal variability; and the degree of electromyographic disturbance at each sampling time is determined based on the ratio between the local signal variability and the comparative signal variability.

[0008] Furthermore, the process of obtaining the degree of local relief includes: Based on the mean signal value of all maxima in the comparative electromyographic signal, a comparative signal feature value is determined; based on the ratio between the signal value of each maxima in the local time period and the comparative signal feature value, a reference signal feature value is determined for each sampling time at each corresponding maxima; based on the difference between the reference signal feature value of each maxima and the reference signal feature value of the next maxima, the corresponding instantaneous relief degree is determined; based on the normalized value of the mean of the instantaneous relief degrees of all maxima at each sampling time, the corresponding local relief degree is determined.

[0009] Furthermore, the process of obtaining the optimal control temperature includes: The preset control coefficient selection range is traversed with a preset step size to determine all control coefficients; the control range of the hot compress temperature of the hot compress device and the initial hot compress temperature at the current control time are obtained; based on the initial hot compress temperature at the current control time, the reference relief degree and each control coefficient, the control hot compress temperature of each control coefficient at the current control time is determined. When the controlled heat therapy temperature is within the controlled heat therapy temperature range: heat therapy comfort is determined based on the difference between the upper limit of the controlled heat therapy temperature range and the controlled heat therapy temperature; the evaporation rate weight of each control coefficient is determined based on the overall evaporation rate corresponding to the evaporation rate change curve of the controlled heat therapy temperature on the used heat therapy medicinal material; and the optimization degree of each control coefficient is determined based on the product between the negative correlation mapping value of the evaporation rate weight and the heat therapy comfort. When the temperature of the hot compress is outside the temperature control range, the degree of preference of the corresponding control coefficient is set to 0. Based on the distribution of the optimization degree of each control coefficient and the corresponding control heat application temperature, the optimal control temperature at the current control time is determined.

[0010] Furthermore, the process of obtaining the temperature for regulating the hot compress includes: Based on the negative correlation mapping of the reference relief level at the current adjustment time and the product between the initial heat application temperature and each adjustment coefficient, the temperature adjustment value under each adjustment coefficient is determined; based on the sum of the temperature adjustment value and the initial heat application temperature, the adjusted heat application temperature for each adjustment coefficient is determined.

[0011] Furthermore, the process of determining the optimal control temperature at the current control moment based on the distribution of the optimization degree of each control coefficient and the corresponding control heat application temperature includes: The optimal temperature for hot compress is determined by the control coefficient that corresponds to the highest degree of optimization.

[0012] Furthermore, the process of real-time temperature control of the herbal hot compress based on the optimal control temperature includes: After adjusting the temperature of the herbal hot compress at the current control time to the optimal control temperature, continue the herbal hot compress process until the next control time is reached.

[0013] This application has the following beneficial effects: Before the hot compress process, this application pre-analyzes the weight changes of each medicinal material at different test temperatures, determines the volatilization rate of the medicinal materials at different temperatures, and constructs a model of the relationship between volatilization rate and temperature to determine the volatilization rate change curve. Then, based on the relief of uterine cold spasms characterized by the electromyographic signals of the hot compress, the reference relief level at each sampling time is determined. Furthermore, based on the degree of temperature regulation reflected by the reference relief level and the volatilization situation at different temperatures reflected on the volatilization rate change curve, the optimal regulation temperature is finally determined. This makes the hot compress effect of traditional Chinese medicine better after real-time regulation according to the optimal regulation temperature. Attached Figure Description

[0014] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a structural diagram of an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness, provided in one embodiment of the present invention. Figure 2 This is a front view of a heat therapy device provided in one embodiment of the present invention; Figure 3 This is a rear structural diagram of a heat therapy device provided in one embodiment of the present invention; The labels in the diagram are: 1-elastic fixing band; 2-flexible attachment module; 3-heating element; 4-humidity sensor; 5-central control panel; 6-flexible electrode array. Detailed Implementation

[0016] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature.

[0017] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0018] The following description, in conjunction with the accompanying drawings, details a specific solution for an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness provided by this invention.

[0019] This application provides an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine cold. Please refer to [link to relevant documentation]. Figure 1 The diagram shows a structural diagram of an intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to an embodiment of the present invention. The device includes: a data acquisition module 101, a parameter determination module 102, and a hot compress temperature control module 103.

[0020] The data acquisition module 101 is used to acquire the time-series curve of the weight of each medicinal material during the heating process at each test temperature before the hot compress process; and to acquire the electromyographic signals of the hot compress process and the comparative electromyographic signals before the hot compress.

[0021] Before starting the hot compress, each type of herbal medicine was first divided into multiple samples, with the number of samples matching the number of test temperatures, and all samples having the same initial mass. Each sample was assigned a test temperature, and all samples were simultaneously heated in a constant temperature chamber at their respective test temperatures. The weight of each sample was measured every 2 minutes using a balance. After 2 hours, heating was stopped. The recorded weights of all samples were arranged in chronological order and then subjected to curve fitting to obtain the time-series curve of the herbal weight for each type of hot compress at each test temperature. That is, the total duration of the herbal weight time-series curve was 2 hours, with a measurement interval of 2 minutes. It should be noted that the herbal weight measurement interval and heating duration can be adjusted according to the specific implementation environment. In this embodiment of the invention, for all samples of each type of hot compress, all environmental conditions were the same except for the test temperature, thus determining the herbal weight time-series curve by controlling variables. Further details are omitted here. In one specific implementation of this invention, the weight of each medicinal sample is set to 10g, which can be adjusted according to the specific implementation environment.

[0022] In one specific implementation of this invention, the range of test temperatures is set according to the range of heat application temperature during the heat application process. In this embodiment of the invention, the heat application temperature range is 40 degrees Celsius to 70 degrees Celsius. The selection step size of the test temperature is set to 2 degrees Celsius. That is, by traversing the heat application temperature range through the selection step size of the test temperature, all test temperatures are obtained. The test temperatures in this embodiment of the invention include: 40, 42, 44...66, 68, 70, all in degrees Celsius.

[0023] After attaching the heating device to the application site, collect comparative electromyographic (EMG) signals for a preset comparison time before the heating begins, and collect EMG signals during the heating process after the heating begins. For details on the heating device, please refer to [link to relevant documentation]. Figure 2 This shows a front structural view of a heat therapy device provided in one embodiment of the present invention; please refer to... Figure 3 It shows a rear structural diagram of a heat therapy device provided in one embodiment of the present invention; in Figure 2 In the middle, the front structure of the hot compress device includes an elastic fixing band 1, a flexible attachment module 2, a heating pad 3, a humidity sensor 4, and a flexible electrode array 6; Figure 3 The back structure of the hot compress device includes an elastic fixing strap 1 and a central control panel 5. In a specific implementation of this invention, the preset comparison time is set to 2 minutes, that is, the electromyographic signals collected by the hot compress device within 2 minutes before the start of the hot compress are used as comparison electromyographic signals for comparative analysis.

[0024] For the heat therapy device: the elastic fixing band 1 is used to fix the heat therapy device at the heat therapy position; the flexible attachment module 2 is made of sponge material and wrapped with textile fabric. When the heat therapy device is attached to the heat therapy position, this module can adapt to the abdominal structure of different patients, making it flexible and conforming. At the same time, the combination of sponge material and textile fabric can absorb sweat to a certain extent during the heat therapy process; there is a certain height difference between the heating plate 3 and the flexible attachment module 2, which can fix the Chinese herbal medicine material used for heat therapy on the heating plate 3. When the heat therapy device is activated, the temperature of the heating plate 3 is controlled by the central control panel 5 to achieve the heat therapy effect. In a specific implementation of this invention, the heat therapy temperature is controlled within a range of 40 degrees Celsius to 70 degrees Celsius and can be adjusted automatically.

[0025] Humidity sensors 4 are evenly distributed at various positions on heating pad 3. When the hot compress device starts working, it can directly monitor the humidity changes caused by the volatilization of Chinese herbal materials, thereby making appropriate feedback adjustments to the hot compress temperature. Flexible electrode array 6 is located at the center of flexible attachment module 2. When it comes into contact with the patient's skin, it releases weak currents of different frequencies to interact with the tissues in the patient's body, thereby obtaining electromyographic signals of the corresponding tissues or muscles. The central control panel 5 stores and analyzes data for the entire hot compress device and controls the heating pads to regulate the temperature. The panel can display the remaining hot compress time and allows manual adjustment of the time and start / stop of the device. Humidity data and electromyographic signal data from the patient's muscles are transmitted to the processor of the central control panel 5 through the device's built-in circuit. The optimal temperature for each adjustment time is determined through the data processing process, and the heating pads 3 are heated in real time based on the optimal temperature.

[0026] The parameter determination module 102 is used to determine the overall evaporation rate of each hot compress medicine at each test temperature based on the time decay of the medicinal material weight time-series curve; to determine the evaporation rate change curve based on the overall evaporation rate of each hot compress medicine at all test temperatures; and to determine the reference relief level at each sampling time based on the similarity between the local signal fluctuation at each sampling time in the hot compress electromyography signal and the fluctuation of the contrast electromyography signal.

[0027] The time-series weight curves of medicinal materials can reflect the volatilization of each medicinal material used in hot compresses at each test temperature. For each test temperature, the more severe the time decay, the higher the volatilization rate of the corresponding medicinal material at that test temperature. Therefore, based on the time decay of the medicinal material weight-time-series curves, the overall volatilization rate of each medicinal material used in hot compresses at each test temperature is first measured.

[0028] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the overall evaporation rate includes: On the time-series curve of medicinal material weight, the absolute value of the slope of the tangent at each measurement moment is taken as the corresponding instantaneous volatilization rate. During the heating process, the weight of the medicinal material usually only shows a decreasing trend. Therefore, the larger the absolute value of the slope, the faster the instantaneous volatilization rate at the corresponding measurement moment.

[0029] Before further analyzing the overall evaporation rate, it is necessary to consider that the evaporation process of hot compress herbs mainly includes three stages: the initial rapid evaporation stage, in which the surface volatile components (such as terpenes and aldehydes) are instantaneously released, resulting in a sharp drop in weight; the stable release stage, dominated by the volatile components inside the herb, with the weight showing a linear decrease; and the decay saturation stage, as the easily volatile components are gradually depleted, the slope gradually approaches 0. The optimal time period for hot compress herbs is usually the stable release stage; the theoretical effects of the initial rapid evaporation stage and the decay saturation stage are gradually increasing and decreasing, respectively, and their corresponding hot compress effects have low reference value. Therefore, based on the characteristic that the weight of the herb in the stable release stage usually shows a linear decrease, while the weight of the herb changes in the initial rapid evaporation stage and the decay saturation stage, different weights are assigned to calculate the overall evaporation rate according to the weight decay pattern of different sampling time periods.

[0030] In this embodiment of the invention, the difference between the instantaneous evaporation rate at each measurement moment and the instantaneous evaporation rate at the previous measurement moment is negatively correlated and used as a reference weight for each measurement moment. The greater the change in instantaneous evaporation rate between adjacent measurement moments, the more unstable the change in instantaneous evaporation rate at the corresponding measurement moment is, and the more likely it is not in a stable release phase; therefore, the corresponding weight should be smaller. Further, the weighted evaporation rate at each measurement moment is determined based on the product of the reference weight and the instantaneous evaporation rate. Finally, by combining all measurement moments and using the average of the weighted evaporation rates at all measurement moments, the overall evaporation rate of each hot compress medicine at each test temperature is determined. It should be noted that for the first measurement moment, since it is necessarily in the initial rapid evaporation phase, its corresponding reference weight is defaulted to 0 to ensure the completeness of the embodiment.

[0031] In one specific implementation of this invention, the process of obtaining the overall evaporation rate is expressed by the following formula: ;in, For the first The first type of hot compress medicine Overall evaporation rate at each test temperature; This represents the number of measurement points in the time-series curve of medicinal material weight. For the first The first type of hot compress medicine The time-series curve of medicinal material weight at the test temperature is the first one. The absolute value of the tangent slope at each measurement moment, which is also the corresponding instantaneous evaporation rate; For the first The first type of hot compress medicine The time-series curve of medicinal material weight at the test temperature is the first one. The difference between the instantaneous evaporation rate at one measurement moment and the instantaneous evaporation rate at the previous measurement moment; It is an exponential function with the natural constant as its base; For the first The first type of hot compress medicine The time-series curve of medicinal material weight at the test temperature is the first one. Reference weights for each measurement time; For the first The first type of hot compress medicine The time-series curve of medicinal material weight at the test temperature is the first one. Weighted evaporation rate at each measurement moment.

[0032] Furthermore, the overall evaporation rate of each hot compress medicine can be determined as a function of temperature based on its overall evaporation rate across all test temperatures, thus providing a evaporation rate reference for subsequent temperature adjustment. Preferably, in some possible implementations of this invention, the process of obtaining the evaporation rate change curve includes: A temperature-evaporation rate coordinate system is constructed with the test temperature as the horizontal axis and the overall evaporation rate as the vertical axis. Based on the overall evaporation rate of each heat-compression herb at various test temperatures, all coordinate points for each herb in the temperature-evaporation rate coordinate system are determined. Curve fitting is performed on all coordinate points to determine the evaporation rate variation curve. Through curve fitting, the evaporation rate variation curve can determine a more accurate overall evaporation rate at different temperatures, providing a more accurate data basis for subsequent evaluation of the optimal control of the heat-compression temperature. In one specific implementation of this invention, the curve fitting method uses the least squares method, which can be adjusted according to the specific implementation environment.

[0033] Further analysis of the electromyographic (EMG) signals revealed that comparing the EMG signals before the application of heat can reflect the impact of muscle spasms caused by uterine coldness on the EMG signals, typically manifested as localized EMG values ​​being disordered and elevated. Therefore, by comparing the fluctuations of local EMG signals at various sampling times during the application of heat with the control EMG signals, it is possible to indirectly reflect the extent to which the corresponding temperature at each sampling time alleviates the spasms, and indirectly influence the degree of temperature adjustment.

[0034] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the reference mitigation level includes: The time period consisting of a preset number of sampling times preceding each sampling time is taken as the local time period of each sampling time. In a specific implementation of this invention, the sampling frequency of both the hot compress electromyography signal and the contrast electromyography signal is set to be once every 0.5 seconds. By setting the sampling time, the signal can be analyzed in more detail; the preset number is set to 120, which can be adjusted according to the specific implementation environment.

[0035] Based on the fluctuation deviation between the local signal and the control signal in the hot-applied electromyography (EMG) signal over a local time period, the degree of EMG disturbance at each sampling moment is determined. The process of obtaining the degree of EMG disturbance includes: calculating the standard deviation of the signal values ​​at all sampling moments in the local time period to determine the local signal variability; calculating the standard deviation of the signal values ​​at all sampling moments in the control signal to determine the control signal variability; and determining the degree of EMG disturbance at each sampling moment based on the ratio between the local signal variability and the control signal variability. It should be noted that, to ensure the calculation results are meaningful, in this embodiment of the invention, when performing fractional operations, if the denominator is 0, a parameter adjustment factor greater than 0 needs to be added to the denominator to prevent the denominator from being 0. The value of the parameter adjustment factor is set by the implementer according to the actual situation; in this application, it is set to 0.1.

[0036] The spasms caused by uterine coldness lead to chaotic numerical fluctuations in electromyography (EMG) signals. After the spasm symptoms are relieved, the significance of the spasm characteristics decreases, making the fluctuation of the EMG signals tend to be smoother. Therefore, for each sampling moment, the larger the standard deviation of the signal values ​​of all sampling moments in the corresponding local time period, that is, the greater the local variability, the more obvious the spasm characteristics, the worse the relief effect of the corresponding spasm symptoms, and the higher the degree of EMG disorder. By comparing the standard deviation of the signal values ​​of all sampling moments in the EMG signals, that is, comparing the signal variability, we can provide a basis for data comparison of the degree of relief reflected by the local variability, reduce the influence of different degrees of uterine coldness in different implementation environments, and improve the robustness of subsequent analysis processes.

[0037] The degree of local relief at each sampling time is determined based on the temporal decay of the overall deviation of the maximum value between the local signal and the control signal in the local time period of the heat-treated electromyography (EMG) signal. The process of obtaining the degree of local relief includes: determining the characteristic value of the control signal based on the mean of the signal values ​​of all maximum points in the control signal; determining the characteristic value of the reference signal at each maximum point in the local time period based on the ratio between the signal value of the heat-treated EMG signal and the characteristic value of the control signal; determining the corresponding instantaneous degree of relief based on the difference between the reference signal characteristic value of each maximum point and the reference signal characteristic value of the next maximum point; and determining the corresponding degree of local relief based on the normalized value of the mean of the instantaneous degree of relief at all maximum points corresponding to each sampling time.

[0038] Because spasms can cause localized dysregulation and elevated electromyographic (EMG) values, spasms typically result in numerous large maxima in the EMG signal. The larger the signal value of each maxima, the more pronounced the spasm. Therefore, we first determine the reference signal characteristic value based on the overall magnitude of the maxima in the EMG signal to characterize the spasm without heat application. For each sampling time, the larger the signal value of each maxima within the corresponding local time period, the more pronounced the local spasm characteristic. Thus, the reference signal characteristic value can reflect the characteristics of spasms to some extent. Based on this characteristic, for each maxima, the larger the difference between the corresponding reference signal characteristic value and the reference signal characteristic value of the next maxima, indicating a greater degree of instantaneous relief, the greater the degree of spasm relief at the location corresponding to the next maxima. Therefore, we further combine the instantaneous relief of all maxima to determine the degree of local relief at each sampling time. The role of the reference signal characteristic value is the same as that of the reference signal fluctuation, used to improve the robustness of the calculation process and provide comparison, which will not be elaborated further here. It should be noted that for the last extreme point, the corresponding instantaneous relief level is set to 0 to avoid situations where the corresponding instantaneous relief level cannot be calculated.

[0039] The greater the degree of local relief, the more significant the trend of spasm relief in the local time period at the corresponding sampling time, and the greater the reference degree of relief reflecting the relief effect. Conversely, the greater the degree of electromyographic disorder, the worse the relief effect of spasm symptoms. Therefore, the reference degree of relief for each sampling time is further determined by multiplying the negative correlation mapping value of the degree of electromyographic disorder with the degree of local relief. This ensures that the greater the reference degree of relief, the smaller the spasm relief effect at the corresponding sampling time, and the smaller the corresponding temperature adjustment should be.

[0040] In one specific implementation of this invention, the process of obtaining the reference mitigation level is expressed by the following formula: ;in, For the first The reference mitigation level at each sampling time; For the first The degree of electromyographic disturbance at each sampling time; For the first The mean of the instantaneous relief at all maxima points corresponding to each sampling time; For the first The degree of local relief at each sampling time; It is an exponential function with the natural constant as its base; It is a linear normalization function, and the normalization method can be adjusted according to the specific implementation environment.

[0041] The hot compress temperature control module 103 is used to determine the optimal control temperature at the current control time based on the reference relief level at the current control time and the change curve of the volatilization rate of the hot compress medicine used; and to control the temperature of the Chinese medicine hot compress in real time based on the optimal control temperature.

[0042] For the current adjustment moment, the greater the corresponding reference relief level, the better the spasm relief effect at that moment, and therefore the smaller the degree of temperature adjustment should be. However, during stable adjustment, since the medicinal herbs used in the hot compress process are fixed, the degree of temperature optimization can be measured based on the evaporation rate curve after temperature adjustment, thereby selecting the more accurate optimal adjustment temperature for the current adjustment moment. It should be noted that in this embodiment of the invention, the temperature adjustment frequency is set to once every 5 minutes. That is, after calculating and adjusting the optimal adjustment temperature for the current adjustment moment, the optimal adjustment temperature is calculated and adjusted again after a 5-minute interval. This can be adjusted according to the specific implementation environment.

[0043] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the optimal control temperature includes: By traversing the preset control coefficient selection range with a preset step size, all control coefficients are determined. In a specific implementation of this invention, the preset control coefficient selection range is set to -5 to 5, and the preset step size is set to 0.5. Therefore, the control coefficients in this embodiment include: -5, -4.5, -4…4, 4.5, 5, which can be adjusted according to the specific implementation environment. By traversing each preset control coefficient, multiple controllable heat application temperatures can be calculated, allowing for a more accurate optimal control temperature to be obtained through optimization analysis.

[0044] The range of the heat therapy temperature control of the heat therapy device and the initial heat therapy temperature at the current control moment are obtained. In a specific implementation of this invention, the range of the heat therapy temperature control is 40 degrees Celsius to 70 degrees Celsius, and the initial heat therapy temperature is the heating temperature set by the heating element at the current control moment.

[0045] Based on the initial heat application temperature, reference relief level, and each control coefficient at the current control time, the control heat application temperature for each control coefficient at the current control time is determined. The process of obtaining the control heat application temperature includes: determining the temperature adjustment value for each control coefficient based on the negative correlation mapping of the reference relief level at the current control time and the product between the initial heat application temperature and each control coefficient; and determining the control heat application temperature for each control coefficient based on the sum of the temperature adjustment value and the initial heat application temperature.

[0046] Based on the characteristic that a greater reference relief level corresponds to a smaller temperature adjustment level, it can be concluded that the reference relief level at the current sampling moment should be negatively correlated with the temperature adjustment value during the calculation of the temperature adjustment value. The initial heat application temperature serves as the basis for temperature adjustment and can be adjusted according to the specific implementation environment, such as setting it to half of the initial heat application temperature or half of the minimum heat application temperature, etc., which will not be elaborated further here. The control coefficient is used to correct the adjustment level, determining the controlled heat application temperature under different control coefficients. This allows for subsequent optimization function calculations of the controlled heat application temperature for each control coefficient, determining a more accurate optimal controlled temperature. Furthermore, setting the control coefficient determines the direction of temperature adjustment, avoiding situations where the temperature can only be adjusted upwards or downwards.

[0047] In one specific implementation of this invention, the process of adjusting the temperature of the hot compress is expressed by the following formula: ; For the current moment of regulation The corresponding number The optimal coefficient is used to regulate the temperature of the hot compress. For the current moment of regulation The corresponding initial heat therapy temperature; For the first The magnitude of each optimization coefficient; For the current moment of regulation Corresponding reference level of relief; It is an exponential function with the natural constant as its base; For the current moment of regulation The corresponding number The optimal temperature adjustment value.

[0048] First, when the temperature of the hot compress is adjusted outside the temperature control range, the optimization level of the corresponding control coefficient is set to 0. Adjusting the temperature of the hot compress outside the temperature control range will result in the inability to adjust it, so the optimization level is set to 0 to avoid taking the corresponding adjusted hot compress temperature as the optimal control temperature.

[0049] When the temperature of the hot compress is adjusted within the temperature adjustment range: the comfort of the hot compress is determined based on the difference between the upper limit of the temperature adjustment range and the adjusted temperature; the evaporation rate weight of each adjustment coefficient is determined based on the overall evaporation rate corresponding to the evaporation rate change curve of the evaporation rate of the evaporation medicine used for each adjustment coefficient on the curve of the evaporation rate change of the evaporation rate ... Based on human skin's tolerance, the closer the adjusted heat application temperature is to the upper limit, the less comfortable the heat application; conversely, the greater the deviation between the adjusted temperature and the upper limit, the better the comfort, and the more likely the adjusted temperature is the optimal temperature. Considering that the types of medicinal materials used for each heat application are fixed, the volatilization rate curves of the medicinal materials used can be obtained. Given that a higher volatilization rate indicates faster loss of efficacy, mapping the adjusted heat application temperature for each control coefficient to the corresponding volatilization rate curve—that is, the overall volatilization rate at the corresponding controlled heat application temperature—results in a lower probability that the corresponding controlled heat application temperature is the optimal temperature, as a higher overall volatilization rate (i.e., a higher weighting for volatilization rate) indicates faster loss of efficacy.

[0050] Therefore, based on the correlation, and the product between the negative correlation mapping value of the evaporation rate weight and the comfort of heat application, the optimization degree of each control coefficient is determined, such that the greater the optimization degree of the control coefficient, the more likely the corresponding controlled heat application temperature is to be the optimal control temperature. Therefore, based on this characteristic, and according to the distribution of the optimization degree of each control coefficient and the corresponding controlled heat application temperature, the optimal control temperature at the current control time is determined. Specifically, the controlled heat application temperature corresponding to the control coefficient with the highest optimization degree is taken as the optimal control temperature at the current control time.

[0051] In some possible implementations of this invention, the process of obtaining the preferred degree of adjusting the heat compress temperature within the heat compress temperature control range is expressed by the following formula: ;in, For the current moment of regulation The corresponding number The degree of preference of each preference coefficient; This refers to the upper limit of the hot compress temperature control range, which is 70 degrees Celsius in this embodiment of the invention. For the current moment of regulation The corresponding number The optimal coefficient is used to regulate the temperature of the hot compress. For the current moment of regulation The corresponding number The overall evaporation rate corresponding to the evaporation rate change curve of the selected heat therapy temperature on the heat therapy medicinal material used, that is, the corresponding evaporation rate weight. It is a linear normalization function; For the current moment of regulation The corresponding number The optimal coefficient for heat therapy comfort.

[0052] After determining the optimal control temperature, the temperature of the herbal hot compress is adjusted in real time based on the optimal control temperature. Specifically, the instruction for the optimal control temperature obtained through data processing via the central control panel 5 is sent to the heating element 3. The temperature of the herbal hot compress on the heating element 3 at the current control time is adjusted to the optimal control temperature, and the herbal hot compress process continues until the next control time is reached. At the next control time, a new optimal control temperature is calculated and adjusted. The calculation principle is the same as the optimal control temperature at the current control time, and will not be elaborated further here.

[0053] In summary, an intelligent temperature-controlled herbal hot compress device for treating uterine coldness pre-tests the weight changes of each herbal material at different test temperatures before the hot compress process, determines the evaporation rate of the herbal materials at different temperatures, and constructs a model of the relationship between evaporation rate and temperature to determine the evaporation rate change curve. Then, based on the relief of uterine coldness spasms characterized by the electromyographic signals of the hot compress, the reference relief level at each sampling time is determined. Furthermore, based on the temperature control level reflected by the reference relief level and the evaporation situation at different temperatures reflected on the evaporation rate change curve, the optimal control temperature is finally determined. This results in a better hot compress effect after real-time control based on the optimal control temperature.

[0054] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0055] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A smart temperature-controlled traditional Chinese medicine hot compress device for treating uterine cold, characterized in that, The device includes: The data acquisition module is used to collect the weight time-series curve of each medicinal material during the heating process at each test temperature before the hot compress process; and to collect the electromyographic signals of the hot compress process and the comparative electromyographic signals before the hot compress. The parameter determination module is used to determine the overall evaporation rate of each hot compress medicine at each test temperature based on the time decay of the weight time-series curve of the medicine; to determine the evaporation rate change curve based on the overall evaporation rate of each hot compress medicine at all test temperatures; and to determine the reference relief level at each sampling time based on the similarity between the local signal fluctuation at each sampling time in the hot compress electromyography signal and the fluctuation of the comparative electromyography signal. The hot compress temperature control module is used to determine the optimal control temperature at the current control time based on the reference relief level at the current control time and the volatilization rate change curve of the hot compress medicine used; and to perform real-time control of the hot compress temperature of traditional Chinese medicine based on the optimal control temperature.

2. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 1, characterized in that, The process of obtaining the overall evaporation rate includes: On the time-series curve of the medicinal material weight, the absolute value of the slope of the tangent at each measurement moment is taken as the corresponding instantaneous volatilization rate; the difference between the instantaneous volatilization rate at each measurement moment and the instantaneous volatilization rate at the previous measurement moment is negatively correlated and mapped as the reference weight for each measurement moment; the weighted volatilization rate at each measurement moment is determined based on the product of the reference weight and the instantaneous volatilization rate; and the overall volatilization rate of each hot compress medicinal material at each test temperature is determined based on the mean of the weighted volatilization rates at all measurement moments.

3. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 1, characterized in that, The process of obtaining the evaporation rate change curve includes: A temperature-evaporation rate coordinate system is constructed with the magnitude of the test temperature as the horizontal axis and the magnitude of the overall evaporation rate as the vertical axis; Based on the overall evaporation rate of each hot compress medicine at various test temperatures, all coordinate points of each hot compress medicine in the temperature-evaporation rate coordinate system are determined; curve fitting is performed on all coordinate points to determine the evaporation rate change curve.

4. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 1, characterized in that, The process of obtaining the reference mitigation level includes: The time period consisting of a preset number of sampling times preceding each sampling time is taken as the local time period of each sampling time; The degree of electromyographic disturbance at each sampling moment is determined based on the fluctuation deviation between the local signal and the comparative electromyographic signal of the hot compress electromyographic signal during the local time period. The degree of local relief at each sampling moment is determined based on the temporal attenuation of the overall deviation of the maximum value of the hot-applied electromyographic signal between the local signal and the comparative electromyographic signal during the local time period. The reference relief level at each sampling time is determined by multiplying the negative correlation mapping value of the degree of electromyographic disorder with the degree of local relief.

5. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 4, characterized in that, The process of obtaining the degree of electromyographic disorder includes: In the electromyographic signal obtained from the hot compress, the standard deviation of the signal value at all sampling times within the local time period is calculated to determine the local signal variability; the standard deviation of the signal value at all sampling times in the comparative electromyographic signal is calculated to determine the comparative signal variability; and the degree of electromyographic disturbance at each sampling time is determined based on the ratio between the local signal variability and the comparative signal variability.

6. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 4, characterized in that, The process of obtaining the degree of local relief includes: Based on the mean signal value of all maxima in the comparative electromyographic signal, a comparative signal feature value is determined; based on the ratio between the signal value of each maxima in the local time period and the comparative signal feature value, a reference signal feature value is determined for each sampling time at each corresponding maxima; based on the difference between the reference signal feature value of each maxima and the reference signal feature value of the next maxima, the corresponding instantaneous relief degree is determined; based on the normalized value of the mean of the instantaneous relief degrees of all maxima at each sampling time, the corresponding local relief degree is determined.

7. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 1, characterized in that, The process of obtaining the optimal control temperature includes: The preset control coefficient selection range is traversed with a preset step size to determine all control coefficients; the control range of the hot compress temperature of the hot compress device and the initial hot compress temperature at the current control time are obtained; based on the initial hot compress temperature at the current control time, the reference relief degree and each control coefficient, the control hot compress temperature of each control coefficient at the current control time is determined. When the controlled heat therapy temperature is within the controlled heat therapy temperature range: heat therapy comfort is determined based on the difference between the upper limit of the controlled heat therapy temperature range and the controlled heat therapy temperature; the evaporation rate weight of each control coefficient is determined based on the overall evaporation rate corresponding to the evaporation rate change curve of the controlled heat therapy temperature on the used heat therapy medicinal material; and the optimization degree of each control coefficient is determined based on the product between the negative correlation mapping value of the evaporation rate weight and the heat therapy comfort. When the temperature of the hot compress is outside the temperature control range, the degree of preference of the corresponding control coefficient is set to 0. Based on the distribution of the optimization degree of each control coefficient and the corresponding control heat application temperature, the optimal control temperature at the current control time is determined.

8. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 7, characterized in that, The process of obtaining the temperature for regulating the hot compress includes: Based on the negative correlation mapping of the reference relief level at the current adjustment time and the product between the initial heat application temperature and each adjustment coefficient, the temperature adjustment value under each adjustment coefficient is determined; based on the sum of the temperature adjustment value and the initial heat application temperature, the adjusted heat application temperature for each adjustment coefficient is determined.

9. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 7, characterized in that, The process of determining the optimal control temperature at the current control moment based on the distribution of the optimization degree of each control coefficient and the corresponding control heat application temperature includes: The optimal temperature for hot compress is determined by the control coefficient that corresponds to the highest degree of optimization.

10. The intelligent temperature-controlled traditional Chinese medicine hot compress device for treating uterine coldness according to claim 1, characterized in that, The process of real-time temperature control of traditional Chinese medicine hot compress based on the optimal temperature control includes: After adjusting the temperature of the herbal hot compress at the current control time to the optimal control temperature, continue the herbal hot compress process until the next control time is reached.

Images