Infrared treatment equipment and method for rheumatism and immunology department

Abstract

The invention provides infrared treatment equipment and method for the rheumatism and immunology department, and the method comprises the steps: extracting temperature fluctuation characteristics in each treatment stage from the temperature information of an infrared treatment process, and determining a temperature overrun state of the skin of a rheumatism patient in the infrared treatment process through each temperature fluctuation characteristic and an output power curve of the infrared treatment equipment; extracting the spatial distribution characteristic and the time gradient characteristic of the skin humidity in the humidity information in the infrared treatment process, and determining the abnormal fluctuation characteristic of the skin humidity of the infrared treatment equipment in the infrared treatment through the spatial distribution characteristic, the time gradient characteristic and a preset humidity change threshold value; and carrying out temperature and humidity balance on the output power in the infrared treatment equipment through the temperature overrun state and the abnormal fluctuation characteristics to obtain a balance level of the output power in the infrared treatment equipment, and carrying out feedback regulation on the output power of the infrared treatment equipment based on the balance level. Based on the scheme, the temperature and humidity balance adjustment of the infrared treatment power in the infrared treatment equipment can be realized.

Description

Technical Field

[0001] This application relates to the technical field of infrared therapy, and more specifically, to an infrared therapy device and method for rheumatology and immunology departments. Background Art

[0002] With the progress of technology, infrared therapy devices have been widely used in the medical field for the treatment of rheumatology and immunology such as arthritis, muscle pain, joint stiffness, etc. The therapeutic effect of infrared light therapy is attributed to its ability to penetrate deep into tissues, stimulate cell activity and promote healing. The potential of infrared light therapy as a non-invasive and drug-free treatment option is utilized to perform rheumatology and immunology treatment by emitting radiant heat with infrared lamps.

[0003] The traditional regulation mechanism of infrared therapy devices only relies on a single temperature parameter, ignoring the significant impact of skin humidity changes on the heat conduction efficiency during the treatment process. When patients have humidity changes such as sweating due to individual differences or environmental factors, the fixed power output of traditional devices will lead to significant deviations in the actual treatment dose - excessive humidity may cause heat accumulation and scalding, while too low humidity will result in insufficient energy absorption and affect the therapeutic effect. At the same time, a static temperature threshold control strategy is generally adopted, which cannot adapt to the specific phased treatment requirements of rheumatological diseases; therefore, how to achieve the temperature and humidity balance adjustment of the infrared treatment power in infrared therapy devices has become a difficult problem faced by the industry. Summary of the Invention

[0004] This application provides an infrared therapy device and method for rheumatology and immunology departments, which can achieve the temperature and humidity balance adjustment of the infrared treatment power in infrared therapy devices.

[0005] In a first aspect, this application provides a power adjustment method for an infrared therapy device, which is used to adjust the output power in an infrared therapy device for rheumatology and immunology departments. The method includes: Using the infrared therapy device after setting the initial input temperature to perform infrared therapy on rheumatology patients, and detecting the temperature and humidity of the skin during the infrared therapy process to obtain temperature information and humidity information; Determine multiple treatment stages in the rheumatology and immunology treatment of the infrared therapy device, extract the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature, and then determine the temperature over-limit state of the skin of rheumatology patients during the infrared therapy process through each temperature fluctuation characteristic and the output power curve of the infrared therapy device; Extract the spatial distribution characteristics and time gradient characteristics of the skin humidity from the humidity information, and determine the abnormal fluctuation characteristics of the skin humidity of the infrared therapy device during the infrared therapy through the spatial distribution characteristics, the time gradient characteristics and a preset humidity change threshold; Perform temperature and humidity balance on the output power in the infrared treatment device based on the temperature exceeding limit state and the abnormal fluctuation characteristics, obtain the balance level of the output power in the infrared treatment device, and then perform feedback adjustment on the output power of the infrared treatment device based on the balance level.

[0006] In some embodiments, extracting the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature specifically includes: For each treatment stage, screen out the stage temperature data of the treatment stage from the temperature information; Determine the temperature fluctuation characteristics in the treatment stage through the difference value between each temperature in the stage temperature data and the initial input temperature, and then obtain the temperature fluctuation characteristics in each treatment stage.

[0007] In some embodiments, determining the temperature exceeding limit state of the skin of a rheumatic patient during the infrared treatment process through each temperature fluctuation characteristic and the output power curve of the infrared treatment device specifically includes: Obtain the output power curve of infrared treatment of a rheumatic patient using the infrared treatment device; For each treatment stage, extract the power significant value of the treatment stage from the output power curve; Set the temperature threshold of the treatment stage based on the power significant value, determine the temperature exceeding limit value of the treatment stage through the temperature threshold and the temperature fluctuation characteristics of the treatment stage, and then obtain the temperature exceeding limit values of each treatment stage; Determine the temperature exceeding limit state of the skin of a rheumatic patient during the infrared treatment process according to all the temperature exceeding limit values.

[0008] In some embodiments, extracting the spatial distribution characteristics and time gradient characteristics of the skin humidity in the humidity information specifically includes: Obtain the time gradient interval and multiple grid sub-regions during the infrared treatment process; Screen out the humidity distribution data after each time gradient interval and the humidity curves of each grid sub-region from the humidity information; Extract the distribution mean value of the skin humidity after each time gradient interval from each humidity distribution data, and then determine the time gradient characteristics of the skin humidity through all the distribution mean values; Extract the humidity distribution values in each grid sub-region from each humidity curve, and then determine the spatial distribution characteristics of the skin humidity through all the humidity distribution values.

[0009] In some embodiments, determining the abnormal fluctuation characteristics of the skin humidity in the infrared treatment of the infrared treatment device through the spatial distribution characteristics, the time gradient characteristics and a preset humidity change threshold specifically includes: Compare the spatial distribution feature with a preset humidity change threshold to obtain the spatial fluctuation value of skin humidity; Compare the time gradient feature with a preset humidity change threshold to obtain the time fluctuation value of skin humidity; Perform spatio-temporal fusion on the spatial fluctuation value and the time fluctuation value to obtain the abnormal fluctuation feature of skin humidity during infrared therapy of the infrared therapy device.

[0010] In some embodiments, performing temperature-humidity balance on the output power in the infrared therapy device through the temperature overlimit state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared therapy device specifically includes: Perform feature fusion on the temperature overlimit state and the abnormal fluctuation feature to obtain the balance amount of the output power in the infrared therapy device; Use the balance amount to perform level evaluation on the output power in the infrared therapy device to obtain the balance level of the output power in the infrared therapy device.

[0011] In some embodiments, a non-contact sensor is used to detect the temperature and humidity of the skin.

[0012] In a second aspect, the present application provides an infrared therapy device for rheumatology and immunology, including a power adjustment unit, and the power adjustment unit includes: A detection module, configured to use the infrared therapy device after setting an initial input temperature to perform infrared therapy on rheumatism patients, and detect the temperature and humidity of the skin during the infrared therapy process to obtain temperature information and humidity information; A processing module, configured to determine multiple treatment stages in the rheumatology and immunology treatment of the infrared therapy device, extract the temperature fluctuation features in each treatment stage from the temperature information based on the initial input temperature, and further determine the temperature overlimit state of the skin of the rheumatism patient during the infrared therapy process through each temperature fluctuation feature and the output power curve of the infrared therapy device; The processing module is further configured to extract the spatial distribution feature and the time gradient feature of skin humidity from the humidity information, and determine the abnormal fluctuation feature of skin humidity during the infrared therapy of the infrared therapy device through the spatial distribution feature, the time gradient feature, and a preset humidity change threshold; An execution module, configured to perform temperature-humidity balance on the output power in the infrared therapy device through the temperature overlimit state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared therapy device, and further perform feedback adjustment on the output power of the infrared therapy device based on the balance level.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the power adjustment method of the above-mentioned infrared treatment device.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes run on a computer, the computer is enabled to implement the power adjustment method of the above-mentioned infrared treatment device when executed.

[0015] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects: In an infrared treatment device and method for rheumatology and immunology provided by the present application, an infrared treatment device after setting an initial input temperature is used to perform infrared treatment on rheumatism patients. During the infrared treatment process, the temperature and humidity of the skin are detected to obtain temperature information and humidity information; multiple treatment stages in rheumatology and immunology treatment of the infrared treatment device are determined, and temperature fluctuation characteristics in each treatment stage are extracted from the temperature information based on the initial input temperature. Furthermore, the temperature over-limit state of the skin of rheumatism patients during the infrared treatment process is determined through each temperature fluctuation characteristic and the output power curve of the infrared treatment device; the spatial distribution characteristics and time gradient characteristics of the skin humidity are extracted from the humidity information, and the abnormal fluctuation characteristics of the skin humidity during the infrared treatment of the infrared treatment device are determined through the spatial distribution characteristics, the time gradient characteristics, and a preset humidity change threshold; the output power in the infrared treatment device is balanced for temperature and humidity through the temperature over-limit state and the abnormal fluctuation characteristics to obtain the balance level of the output power in the infrared treatment device, and then the output power of the infrared treatment device is feedback-adjusted based on the balance level.

[0016] It can be seen that in this application, the output power in the infrared treatment device is balanced in terms of temperature and humidity by the temperature over-limit state and abnormal fluctuation characteristics, and the balance level of the output power in the infrared treatment device is obtained. Furthermore, the output power of the infrared treatment device is feedback-regulated based on the balance level. First, determining the temperature over-limit state can obtain the dangerous working condition where the real-time temperature exceeds the safety threshold. Based on the clinical requirements in different treatment stages, abnormal temperature fluctuations are intelligently identified. When a change trend beyond the safe range is detected, the hierarchical power adjustment mechanism is automatically triggered, which not only ensures that the treatment area is always maintained within the appropriate temperature range but also avoids the impact of over-regulation on the treatment effect, significantly improving the safety and reliability of the treatment. Then, determining the abnormal fluctuation characteristics can obtain a comprehensive index that quantifies the spatio-temporal abnormality of humidity, realizing the intelligent dynamic adjustment of the treatment power. The complex physiological signal changes are quantified into clear regulation levels by using a multi-parameter fusion algorithm, and differential power adjustment strategies are executed accordingly. This not only optimizes the accuracy of energy output but also improves the adaptability of the system to individual differences and complex treatment environments, keeping the treatment process in the optimal temperature and humidity balance state all the time and effectively improving the overall treatment effect and patient comfort. In summary, based on the above solution, the temperature and humidity balance adjustment of the infrared treatment power in the infrared treatment device can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 is an exemplary flowchart of the power adjustment method of the infrared treatment device shown in some embodiments of the present application; Figure 2 is an operation flowchart of the red light treatment shown in some embodiments of the present application; Figure 3 is a schematic flowchart of determining the balance level shown in some embodiments of the present application; Figure 4 is a schematic structural diagram of the power adjustment unit shown in some embodiments of the present application; Figure 5 is a schematic structural diagram of the computer device for implementing the power adjustment method of the infrared treatment device shown in some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0020] Reference Figure 1 The figure is an exemplary flowchart of a power adjustment method for an infrared treatment device according to some embodiments of the present application. The power adjustment method for the infrared treatment device mainly includes the following steps: In step 101, an infrared treatment device with a set initial input temperature is used to perform infrared treatment on a rheumatism patient. During the infrared treatment, the temperature and humidity of the skin are detected to obtain temperature information and humidity information.

[0021] It should be noted that in the present application, the temperature information represents the skin temperature data collected during infrared treatment; the humidity information represents the measurement result of the surface humidity in the treatment area; a non-contact sensor is used to detect the temperature and humidity of the skin, and the non-contact sensor is an integrated infrared thermal imager and interdigitated electrode sensor; specifically, when implemented, the initial treatment temperature is preset based on the constitution of the rheumatism patient in combination with the recommended value in the rheumatism treatment guide (for example: 40 - 45 °C) as the initial input temperature of the infrared treatment device. The initial treatment temperature is set through the control panel of the infrared treatment device and loaded into the temperature control module of the infrared treatment device. At the same time, a near-infrared radiation source (for example: carbon fiber heating element) is focused and irradiated on the affected area (for example: knee joint) through an optical lens. At the same time, an integrated infrared thermal imager is used to scan the treatment area, so as to calculate the surface temperature distribution by colorimetry, and the calculation result is used as the temperature information of the skin during the infrared treatment. The interdigitated electrode sensor is used to measure the change in skin conductivity, so as to calculate the surface humidity distribution through the impedance-humidity mapping table in the infrared treatment device, and the calculation result is used as the humidity information of the skin during the infrared treatment.

[0022] In some embodiments, reference Figure 2 As described, the figure is an operation flowchart of red light treatment according to some embodiments of the present application. First, an assessment is carried out, including the main symptoms, clinical manifestations, past history, constitution, skin condition at the red light irradiation site, and psychological condition. Then, item preparation is required, including a red light therapy instrument, a large towel, a wiring board, a screen, etc. Then, patient preparation is carried out, including checking the name, diagnosis, explanation, closing the doors and windows, taking a suitable position, exposing the red light irradiation site, and paying attention to keeping warm. During the positioning stage, the red light irradiation site should be determined according to the doctor's advice. When performing red light irradiation, move the lamp of the red light therapy instrument to the upper or side of the irradiation site, and the distance from the affected part is 20 - 60 cm, which can be adjusted at any time according to the size of the lamp and the patient's feeling. During the observation stage, the patient's feeling should be frequently asked and the local reaction should be observed during the treatment, and the lamp distance should be adjusted at any time to prevent scalding and abnormal situations should be dealt with in a timely manner. After the irradiation is completed, the power supply needs to be turned off, the patient should be assisted in dressing, a comfortable lying position should be taken, the bed unit should be tidied up, and the items should be cleaned up. Finally, during the recording stage, according to the doctor's advice, the situation after red light irradiation should be recorded in detail and signed.

[0023] In step 102, multiple treatment stages of the infrared treatment device in rheumatic immune treatment are determined. Based on the initial input temperature, the temperature fluctuation characteristics in each treatment stage are extracted from the temperature information. Then, based on each temperature fluctuation characteristic and the output power curve of the infrared treatment device, the temperature overlimit state of the skin of the rheumatic patient during the infrared treatment process is determined.

[0024] In some embodiments, determining multiple treatment stages of the infrared treatment device in rheumatic immune treatment can be achieved in the following manner: The clinical medical standards of the rheumatology department can be used to divide multiple treatment stages of the infrared treatment device in rheumatic immune treatment. Among them, the treatment stages include the acute stage, sub-acute stage, and chronic stage. In the acute stage, the allowable temperature fluctuation range is ±0.3°C / min, and the overlimit action is to immediately reduce the power by 20%. In the sub-acute stage, the allowable temperature fluctuation range is ±0.5°C / min, and the overlimit action is to gradually reduce the power by 10%. In the chronic stage, the allowable temperature fluctuation range is ±1°C / min, and the overlimit action is only to alarm without intervention. It should be noted that in this application, the treatment stage represents a differentiated treatment cycle divided according to the course of the disease.

[0025] In some embodiments, extracting the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature can be achieved through the following steps: For each treatment stage, the stage temperature data of the treatment stage is screened out from the temperature information; The temperature fluctuation characteristics in the treatment stage are determined through the difference value between each temperature in the stage temperature data and the initial input temperature, and then the temperature fluctuation characteristics in each treatment stage are obtained.

[0026] It should be noted that in this application, the temperature fluctuation characteristic represents the dynamic characteristic of temperature change during the treatment process. Specifically, when implemented, first, for each treatment stage, screening out the stage temperature data of the treatment stage from the temperature information can be achieved in the following manner: For each treatment stage, all temperature values of the treatment stage are screened out from the temperature information, and the set of all temperature values is used as the stage temperature data of the treatment stage. This stage temperature data represents the temperature set of a specific treatment stage. Then, determining the temperature fluctuation characteristics in the treatment stage through the difference value between each temperature in the stage temperature data and the initial input temperature, and then obtaining the temperature fluctuation characteristics in each treatment stage can be achieved in the following manner: The difference value between each temperature value in the stage temperature data and the initial input temperature is used as the difference value, and the standard deviation of all difference values is used as the temperature fluctuation characteristic in the treatment stage. Through the above method, the temperature fluctuation characteristics in each treatment stage can be obtained.

[0027] In some embodiments, the determination of the temperature overlimit state of the skin of a rheumatism patient during infrared treatment based on each temperature fluctuation characteristic and the output power curve of the infrared treatment device can be achieved through the following steps: Obtain the output power curve of the infrared treatment of a rheumatism patient using the infrared treatment device; For each treatment stage, extract the power significant value of the treatment stage from the output power curve; Set the temperature threshold of the treatment stage based on the power significant value, determine the temperature overlimit value of the treatment stage through the temperature threshold and the temperature fluctuation characteristic of the treatment stage, and thus obtain the temperature overlimit values of each treatment stage; Determine the temperature overlimit state of the skin of the rheumatism patient during the infrared treatment according to all the temperature overlimit values.

[0028] Specifically, in implementation, first, the obtaining of the output power curve of the infrared treatment of a rheumatism patient using the infrared treatment device can be achieved through the following method, that is: the output power is collected in real time through the power monitoring module (such as: Hall sensor) of the infrared treatment device, the sampling frequency ≥ 10Hz, and it is recorded as the time series of the output power, so that the collected time series can be used as the output power curve of the infrared treatment; second, for each treatment stage, the extraction of the power significant value of the treatment stage from the output power curve can be achieved through the following method, that is: for each treatment stage, the peak power in the power curve is calculated as the power significant value of the treatment stage using the detection sub-stage fitting algorithm in the acute stage, the average value of all output powers in the power curve is used as the power significant value of the treatment stage in the sub-acute stage, and the duty cycle of the pulse power is identified using wavelet transform as the power significant value of the treatment stage in the chronic stage; then, setting the temperature threshold of the treatment stage based on the power significant value, determining the temperature overlimit value of the treatment stage through the temperature threshold and the temperature fluctuation characteristic of the treatment stage, and thus obtaining the temperature overlimit values of each treatment stage can be achieved through the following method, that is: obtain the power-temperature threshold mapping table of the treatment stage from the console of the infrared treatment device, obtain the temperature value corresponding to the power significant value from this mapping table as the temperature threshold of the treatment stage, initialize an overlimit model based on a fuzzy neural network, use the temperature threshold as the overlimit threshold parameter of the temperature in this overlimit model, use the temperature fluctuation characteristic of the treatment stage as the evaluation target of the temperature in this overlimit model, use this overlimit model to perform stage-by-stage temperature overlimit evaluation on the treatment stage, and thus use the result of the stage evaluation as the temperature overlimit value of the treatment stage. Through the above method, the temperature overlimit values of each treatment stage can be obtained; finally, determining the temperature overlimit state of the skin of the rheumatism patient during the infrared treatment according to all the temperature overlimit values can be achieved through the following method, that is: the average value of all temperature overlimit values can be used as the temperature overlimit state of the skin of the rheumatism patient during the infrared treatment.

[0029] It should be noted that in this application, the temperature over-limit state represents a dangerous working condition where the real-time temperature exceeds the safety threshold; the output power curve represents the functional relationship between the power of the infrared treatment device and time; the power significant value represents the statistical key value of the characteristic power in the treatment stage; the temperature threshold represents the basic temperature limit for triggering safety protection; the temperature over-limit value represents the dynamically adjusted temperature safety boundary; the over-limit model is an intelligent evaluation system constructed based on an adaptive fuzzy neural network. The over-limit model first takes the temperature threshold as the central parameter of the input membership function and realizes dynamic evaluation through a 5-layer network structure (input fuzzification → rule inference → parameter optimization → defuzzification → decision output). The over-limit model optimizes the conclusion parameters using the least squares method in the forward propagation stage, adjusts the premise parameters using the gradient descent method in the reverse propagation stage, and introduces a sliding window mechanism (width = 3 treatment stages) to update the fuzzy rule base.

[0030] In step 103, extract the spatial distribution feature and the time gradient feature of the skin humidity in the humidity information, and determine the abnormal fluctuation feature of the skin humidity of the infrared treatment device during infrared treatment based on the spatial distribution feature, the time gradient feature, and a preset humidity change threshold.

[0031] In some embodiments, the extraction of the spatial distribution feature and the time gradient feature of the skin humidity in the humidity information can be implemented by the following steps: Obtain the time gradient interval and multiple grid sub-regions during the infrared treatment process; Screen out the humidity distribution data after each time gradient interval and the humidity curves of each grid sub-region from the humidity information; Extract the distribution mean of the skin humidity after each time gradient interval from each humidity distribution data, and further determine the time gradient feature of the skin humidity through all the distribution means; Extract the humidity distribution values in each grid sub-region from each humidity curve, and further determine the spatial distribution feature of the skin humidity through all the humidity distribution values.

[0032] It should be noted that in this application, the time gradient feature represents the rate and direction of the change of humidity with time; the spatial distribution feature represents the two-dimensional distribution law of humidity in the treatment area; the grid sub-region represents the smallest analysis unit divided in the infrared treatment field; the time gradient interval represents the standard time window length for humidity sampling; the humidity distribution data represents the spatial data set of the humidity values of each grid sub-region; the humidity curve represents the function image of the humidity of each grid sub-region changing with time.

[0033] In specific implementation, first, obtaining the time gradient interval and multiple grid sub-regions during infrared treatment can be achieved in the following manner: the time gradient interval during infrared treatment can be preset based on historical experience, with a default of 5s, and the treatment area can be divided into grid sub-regions of 5×5 cm² according to the infrared radiation field intensity distribution; second, screening out the humidity distribution data after each time gradient interval and the humidity curves of each grid sub-region from the humidity information can be achieved in the following manner: for each time gradient interval during infrared treatment, the humidity values of each grid sub-region after the time gradient interval are screened out from the humidity information, so that the set of all humidity values is used as the humidity distribution data after the time gradient interval. By the above method, the humidity distribution data after each time gradient interval can be obtained. For each grid sub-region, the humidity values of the grid sub-region after each time gradient interval are obtained from the humidity information, and all humidity values are arranged in chronological order as the humidity curve of the grid sub-region. By the above method, the humidity curves of each grid sub-region can be obtained; then, extracting the distribution mean value of the skin humidity after each time gradient interval from each humidity distribution data, and further determining the time gradient feature of the skin humidity through all the distribution mean values can be achieved in the following manner: for each time gradient interval, the mean value of all humidity values in the humidity distribution data after the time gradient interval is used as the distribution mean value of the skin humidity after the time gradient interval. By the above method, the distribution mean value of the skin humidity after each time gradient interval can be obtained. The difference between the distribution mean values of adjacent time gradient intervals is used as the corresponding humidity gradient value, so that the set of all humidity gradient values can be used as the time gradient feature of the skin humidity; finally, extracting the humidity distribution values in each grid sub-region from each humidity curve, and further determining the spatial distribution feature of the skin humidity through all the humidity distribution values can be achieved in the following manner: for each humidity curve, the humidity values of adjacent time gradient intervals in the humidity curve are calculated, and the mean value of all humidity values is used as the humidity distribution value in the grid sub-region. By the above method, the humidity distribution values in each grid sub-region can be obtained, and the set of all humidity distribution values is used as the spatial distribution feature of the skin humidity.

[0034] In some embodiments, determining the abnormal fluctuation feature of the skin humidity during infrared treatment by the infrared treatment device through the spatial distribution feature, the time gradient feature, and a preset humidity change threshold can be achieved by the following steps: Comparing the spatial distribution feature with the preset humidity change threshold to obtain the spatial fluctuation value of the skin humidity; Comparing the time gradient feature with the preset humidity change threshold to obtain the time fluctuation value of the skin humidity; Performing spatio-temporal fusion on the spatial fluctuation value and the time fluctuation value to obtain the abnormal fluctuation feature of the skin humidity during infrared treatment by the infrared treatment device.

[0035] In specific implementation, first, compare the spatial distribution feature with a preset humidity change threshold to obtain the spatial fluctuation value of skin humidity, which can be achieved in the following way: take the absolute value of the difference between each humidity distribution value in the spatial distribution feature and the spatial fluctuation threshold in the humidity change threshold as the spatial deviation value of humidity, and then take the mean of all spatial deviation values as the spatial fluctuation value of skin humidity; then, compare the time gradient feature with a preset humidity change threshold to obtain the time fluctuation value of skin humidity, which can be achieved in the following way: take the absolute value of the difference between each humidity gradient value in the time distribution feature and the time fluctuation threshold in the humidity change threshold as the time deviation value of humidity, and then take the mean of all time deviation values as the time fluctuation value of skin humidity; finally, perform spatio-temporal fusion on the spatial fluctuation value and the time fluctuation value to obtain the abnormal fluctuation feature of skin humidity during infrared therapy of the infrared therapy device, which can be achieved in the following way: initialize a weighted fusion model based on the attention mechanism, take the spatial fluctuation value as the query vector in the weighted fusion model, take the time fluctuation value as the key-value pair vector in the weighted fusion model, use the weighted fusion model to evaluate the abnormality of skin humidity during infrared therapy of the infrared therapy device, and take the result of the abnormality evaluation as the abnormal fluctuation feature of skin humidity during infrared therapy of the infrared therapy device.

[0036] It should be noted that in this application, the abnormal fluctuation feature is a comprehensive index for quantifying spatio-temporal humidity abnormality; the spatial fluctuation value represents the spatial inhomogeneity of humidity distribution; the time fluctuation value represents the instantaneous fluctuation intensity of humidity change; the humidity change threshold represents the critical humidity difference for triggering adjustment, where the humidity change threshold includes a time fluctuation threshold and a spatial fluctuation threshold, which can be preset through historical experience, and different humidity change thresholds exist in different treatment stages; the weighted fusion model is a mathematical model constructed based on the improved attention mechanism. The weighted fusion model inputs the spatial fluctuation value and the time fluctuation value into the multi-head attention layer (4 heads, dimension 64), calculates the correlation weight of spatio-temporal features through a learnable parameter matrix, generates an attention distribution using the temperature-scaled softmax function, then realizes cross-modal feature interaction through a hierarchical fusion module, and finally the output layer combines a gating mechanism to generate a 0-1 normalized abnormality score.

[0037] In step 104, perform temperature-humidity balance on the output power in the infrared therapy device through the temperature overrun state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared therapy device, and then perform feedback adjustment on the output power of the infrared therapy device based on the balance level.

[0038] In some embodiments, perform temperature-humidity balance on the output power in the infrared therapy device through the temperature overrun state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared therapy device, refer toFigure 3 As described above, the figure is a schematic flowchart for determining the balance level in some embodiments of the present application. In this embodiment, the determination of the balance level can be achieved through the following steps: In step 1041, the temperature overlimit state and the abnormal fluctuation feature are subjected to feature fusion to obtain the balance quantity of the output power in the infrared treatment device; In step 1042, the balance quantity is used to evaluate the level of the output power in the infrared treatment device to obtain the balance level of the output power in the infrared treatment device.

[0039] Specifically, when implemented, first, the feature fusion of the temperature overlimit state and the abnormal fluctuation feature to obtain the balance quantity of the output power in the infrared treatment device can be achieved in the following manner, that is: a feature fusion algorithm (for example: a multi-layer perceptron based on the attention mechanism) can be used to fuse the temperature overlimit state and the abnormal fluctuation feature, and the result of the fusion process is used as the balance quantity of the output power in the infrared treatment device; then, using the balance quantity to evaluate the level of the output power in the infrared treatment device to obtain the balance level of the output power in the infrared treatment device can be achieved in the following manner, that is: obtain the mapping table between the balance quantity and the level from the console of the infrared treatment device, and thus obtain the level corresponding to the balance quantity from the mapping table as the balance level of the output power in the infrared treatment device.

[0040] It should be noted that in the present application, the balance level represents the grading of the urgency of power adjustment; the balance quantity represents the amplitude value of power adjustment; the feature fusion algorithm realizes intelligent decision-making through multi-modal data integration, and its core principle is to construct a multi-layer perceptron network model based on the attention mechanism. First, the temperature overlimit state (time series signal) and the abnormal fluctuation feature (spatio-temporal signal) are respectively encoded into high-dimensional feature vectors. The attention weight calculation module (using scaled dot-product attention) automatically learns the association strength between the two types of features and applies a dynamic weight of 0.8 - 1.2 to the key features; subsequently, through a three-layer fully connected network (hidden layer dimension 128 / 64 / 32, ReLU activation) for non-linear feature interaction, and finally the output layer generates a 0 - 1 normalized balance quantity through the Sigmoid function.

[0041] In some embodiments, the feedback adjustment of the output power of the infrared treatment device based on the balance level can be achieved in the following manner, that is: obtain the power adjustment amplitudes corresponding to 4 balance levels from the infrared physiotherapy technical specifications, maintain the output power of the infrared treatment device in the normal state to maintain the treatment heat effect, lower the output power of the infrared treatment device by 10% in the case of mild imbalance to prevent heat accumulation, lower the output power of the infrared treatment device by 30% in the case of moderate imbalance to avoid protein denaturation, and perform an emergency shutdown of the infrared treatment device in the case of severe imbalance.

[0042] In addition, on the other hand of the present application, in some embodiments, the present application provides an infrared treatment device for the rheumatology and immunology department. The infrared treatment device for the rheumatology and immunology department includes a power adjustment unit. Refer to Figure 4 , which is a schematic structural diagram of the power adjustment unit shown in some embodiments of the present application. The power adjustment unit includes: a detection module 201, a processing module 202, and an execution module 203, which are described as follows: Detection module 201. In the present application, the detection module 201 is mainly used to perform infrared treatment on rheumatism patients using the infrared treatment device after setting the initial input temperature, and detect the temperature and humidity of the skin during the infrared treatment to obtain temperature information and humidity information. Processing module 202. In the present application, the processing module 202 is used to determine multiple treatment stages of the infrared treatment device in rheumatology and immunology treatment, extract the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature, and then determine the temperature overlimit state of the skin of the rheumatism patient during the infrared treatment process through each temperature fluctuation characteristic and the output power curve of the infrared treatment device. It should be noted that the processing module 202 is also used to extract the spatial distribution characteristics and time gradient characteristics of the skin humidity from the humidity information, and determine the abnormal fluctuation characteristics of the skin humidity of the infrared treatment device during the infrared treatment through the spatial distribution characteristics, the time gradient characteristics, and a preset humidity change threshold. Execution module 203. In the present application, the execution module 203 is mainly used to perform temperature and humidity balance on the output power of the infrared treatment device through the temperature overlimit state and the abnormal fluctuation characteristics to obtain the balance level of the output power of the infrared treatment device, and then perform feedback adjustment on the output power of the infrared treatment device based on the balance level.

[0043] The above text details the examples of the infrared treatment device and method for the rheumatology and immunology department provided in the embodiments of the present application. It can be understood that, correspondingly, in order to achieve the above functions, the device includes the corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0044] In some embodiments, the present application further provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the power adjustment method of the above infrared treatment device.

[0045] In some embodiments, referring to Figure 5 , the dashed line in the figure indicates that the unit or module is optional. This figure is a schematic structural diagram of a computer device for implementing the power adjustment method of an infrared treatment device according to an embodiment of the present application. The power adjustment method of the infrared treatment device described in the above embodiments can be implemented by Figure 5 the computer device shown. The computer device includes at least one processor 301, a memory 302, and at least one communication unit 305. The computer device can be a terminal device, a server, or a chip.

[0046] The processor 301 can be a general-purpose processor or a special-purpose processor. For example, the processor 301 can be a central processing unit (CPU). The CPU can be used to control the computer device, execute software programs, and process data of software programs. The computer device can also include a communication unit 305 for realizing signal input (reception) and output (transmission).

[0047] For example, the computer device can be a chip, and the communication unit 305 can be the input and / or output circuit of the chip. Alternatively, the communication unit 305 can be the communication interface of the chip. The chip can be a component of a terminal device, a network device, or other devices.

[0048] Again, for example, the computer device can be a terminal device or a server, and the communication unit 305 can be the transceiver of the terminal device or the server. Alternatively, the communication unit 305 can be the transceiver circuit of the terminal device or the server.

[0049] The computer device may include one or more memories 302, on which there is a program 304. The program 304 can be run by the processor 301 to generate instructions 303, so that the processor 301 executes the method described in the above method embodiments according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302. The data can be stored at the same storage address as the program 304, or the data can be stored at a different storage address from the program 304.

[0050] The processor 301 and the memory 302 can be separately provided or integrated together. For example, they can be integrated on a system on chip (SOC) of a terminal device.

[0051] It should be understood that the steps of the above method embodiments can be completed by a logic circuit in the form of hardware or an instruction in the form of software in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices. For example, discrete gates, transistor logic devices, or discrete hardware components.

[0052] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] For example, in some embodiments, the present application further provides a computer-readable storage medium, in which instructions or code are stored. When the instructions or code run on a computer, the computer is caused to execute the power adjustment method of the above infrared treatment device.

[0054] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A power adjustment method for an infrared treatment device, which is used to adjust the output power in an infrared treatment device for rheumatology and immunology department, characterized in that The method includes the following steps: Use an infrared treatment device set with an initial input temperature to perform infrared treatment on rheumatic patients, and detect the temperature and humidity of the skin during the infrared treatment to obtain temperature information and humidity information; Determine multiple treatment stages of the infrared treatment device in rheumatic immune treatment, extract the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature, and then determine the temperature over-limit state of the skin of rheumatic patients during the infrared treatment through each temperature fluctuation characteristic and the output power curve of the infrared treatment device; Extract the spatial distribution characteristics and time gradient characteristics of the skin humidity from the humidity information, and determine the abnormal fluctuation characteristics of the skin humidity of the infrared treatment device during the infrared treatment through the spatial distribution characteristics, the time gradient characteristics and a preset humidity change threshold; Perform temperature-humidity balance on the output power in the infrared treatment device through the temperature over-limit state and the abnormal fluctuation characteristics to obtain the balance level of the output power in the infrared treatment device, and then perform feedback adjustment on the output power of the infrared treatment device based on the balance level.

2. The method according to claim 1, wherein Specifically, extracting the temperature fluctuation characteristics in each treatment stage from the temperature information based on the initial input temperature includes: For each treatment stage, screen out the stage temperature data of the treatment stage from the temperature information; Determine the temperature fluctuation characteristics in the treatment stage through the difference value between each temperature in the stage temperature data and the initial input temperature, and then obtain the temperature fluctuation characteristics in each treatment stage.

3. The method according to claim 1, characterized in that Specifically, determining the temperature over-limit state of the skin of rheumatic patients during the infrared treatment through each temperature fluctuation characteristic and the output power curve of the infrared treatment device includes: Obtain the output power curve of using the infrared treatment device to perform infrared treatment on rheumatic patients; For each treatment stage, extract the power significant value of the treatment stage from the output power curve; Set the temperature threshold of the treatment stage based on the power significant value, and determine the temperature over-limit value of the treatment stage through the temperature threshold and the temperature fluctuation characteristics of the treatment stage, and then obtain the temperature over-limit values of each treatment stage; Determine the temperature over-limit state of the skin of rheumatic patients during the infrared treatment according to all the temperature over-limit values.

4. The method according to claim 1, characterized in that Specifically, extracting the spatial distribution characteristics and time gradient characteristics of the skin humidity from the humidity information includes: Obtain the time gradient interval and multiple grid sub-regions during the infrared treatment; Screen out the humidity distribution data after each time gradient interval and the humidity curves of each grid sub-region from the humidity information; Extract the distribution mean value of the skin humidity after each time gradient interval from each humidity distribution data, and then determine the time gradient characteristics of the skin humidity through all the distribution mean values; Extract the humidity distribution values in each grid sub-region from each humidity curve, and then determine the spatial distribution characteristics of the skin humidity through all the humidity distribution values.

5. The method according to claim 1, wherein Specifically, determining the abnormal fluctuation characteristics of the skin humidity of the infrared treatment device during the infrared treatment through the spatial distribution characteristics, the time gradient characteristics and a preset humidity change threshold includes: Compare the spatial distribution characteristics with the preset humidity change threshold to obtain the spatial fluctuation value of the skin humidity; Compare the time gradient feature with a preset humidity change threshold to obtain the time fluctuation value of skin humidity; Perform spatio-temporal fusion on the spatial fluctuation value and the time fluctuation value to obtain the abnormal fluctuation feature of skin humidity during infrared treatment by the infrared treatment device.

6. The method according to claim 1, wherein Perform temperature-humidity balance on the output power in the infrared treatment device through the temperature overlimit state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared treatment device, which specifically includes: Perform feature fusion on the temperature overlimit state and the abnormal fluctuation feature to obtain the balance amount of the output power in the infrared treatment device; Use the balance amount to evaluate the level of the output power in the infrared treatment device to obtain the balance level of the output power in the infrared treatment device.

7. The method according to claim 1, wherein Use a non-contact sensor to detect the temperature and humidity of the skin.

8. An infrared treatment device for rheumatology and immunology department, the infrared treatment device includes a power adjustment unit, characterized in that, The power adjustment unit includes: A detection module, configured to use the infrared treatment device after setting the initial input temperature to perform infrared treatment on a rheumatism patient, and detect the temperature and humidity of the skin during the infrared treatment to obtain temperature information and humidity information; A processing module, configured to determine multiple treatment stages of the infrared treatment device during rheumatism immunotherapy, extract the temperature fluctuation features in each treatment stage from the temperature information based on the initial input temperature, and further determine the temperature overlimit state of the skin of the rheumatism patient during the infrared treatment process through each temperature fluctuation feature and the output power curve of the infrared treatment device; The processing module is further configured to extract the spatial distribution feature and the time gradient feature of skin humidity from the humidity information, and determine the abnormal fluctuation feature of skin humidity during infrared treatment by the infrared treatment device through the spatial distribution feature, the time gradient feature, and a preset humidity change threshold; An execution module, configured to perform temperature-humidity balance on the output power in the infrared treatment device through the temperature overlimit state and the abnormal fluctuation feature to obtain the balance level of the output power in the infrared treatment device, and further perform feedback adjustment on the output power of the infrared treatment device based on the balance level.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the power adjustment method of the infrared treatment device according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Instructions or codes are stored in the computer-readable storage medium. When the instructions or codes run on a computer, the computer is caused to execute the power adjustment method of the infrared treatment device according to any one of claims 1 to 7.

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