Split type epididymitis physical therapy trousers and regulation and control method thereof

Abstract

The invention discloses split type epididymitis physical therapy trousers and a regulation and control method thereof. The technical problem that the treatment effect is affected due to the fact that an existing epididymitis physical therapy cannot be adjusted in a self-adaptive mode according to the individual characteristics of a patient is mainly solved. The split type design of a front trouser piece and a rear trouser piece is adopted, the front trouser piece is integrated with a temperature control part and an adjustable scrotum supporting part, and the temperature control part precisely controls the temperature through cooperative work of phase change energy storage layering and flexible electric heating element layering in combination with a temperature sensing array; the scrotum supporting part adopts a magnetic type adjusting buckle and a pressure sensor to dynamically adapt to pressure, and the pressure dispersion rate is improved by combining a bionic curved surface scrotum supporting pad. A controller is arranged in the rear trouser piece, a personalized thermal response function H (theta) is constructed based on multi-modal data fusion and an adaptive algorithm, and PID parameters and a magnetic attraction force strategy are dynamically optimized. The problems that traditional physiotherapy equipment is low in temperature control precision, poor in pressure adaptability and lack of intelligent optimization are solved, and treatment precision and use comfort are both achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical auxiliary devices, in particular to a split epididymitis physiotherapy trousers and a regulation method thereof. BACKGROUND

[0002] Epididymitis is a common disease of the male reproductive system, and its harm and influence have multidimensional characteristics. When acute epididymitis is not treated in time, about 30%-40% of patients will develop chronic inflammation, leading to fibrosis and obstruction of the epididymal duct, causing damage to reproductive function. Studies have shown that the sperm motility of patients with unilateral epididymitis decreases by 42%, and the infertility rate of bilateral lesions is as high as 85%. About 20% of patients with chronic epididymitis develop persistent scrotal pain, and the cases with pain intensity VAS score greater than or equal to 6 points (10 points) account for 62%, which seriously affects the daily activities and sleep quality of patients. In addition, pathogens can cause orchitis (coincidence rate 18%) and spermatic vein inflammation (coincidence rate 12%) through retrograde infection of the vas deferens, and severe cases can also lead to sepsis. In addition, among patients with a disease course of more than 3 months, the abnormal rates of anxiety / depression scale (SAS / SDS) are 54% and 48% respectively; the incidence of sexual dysfunction is 3.2 times higher than that of healthy people, of which erectile dysfunction (ED) accounts for 37%, and decreased sexual desire accounts for 29%.

[0003] The inventor knows that the clinical treatment of epididymitis includes physical therapy such as cold compress, hot compress, and scrotal elevation, but in the process of implementing the technical solutions in the embodiments of the present application, the inventor found that the traditional physical therapy only relies on exogenous heat source or cold source to achieve hot compress or cold compress, and the temperature changes with the time of compressing, and it is impossible to realize self-adaptive adjustment according to the individual characteristics of patients, thereby affecting the treatment effect.

[0004] The information disclosed in this section of the background art is only used to deepen the understanding of the background art of the present disclosure, and should not be regarded as acknowledging or implying in any form that this information constitutes prior art known to those skilled in the art. SUMMARY

[0005] In view of at least one of the above technical problems, the present disclosure provides a split epididymitis physiotherapy trousers and a regulation method thereof, which mainly solves the technical problem that the existing epididymitis physical therapy cannot be self-adaptively adjusted according to the individual characteristics of patients, thereby affecting the treatment effect.

[0006] According to one aspect of the present disclosure, a split epididymitis physiotherapy trousers is provided, which comprises a front pant piece and a back pant piece connected by a waist quick-release connecting belt and a crotch elastic connecting belt; the front pant piece comprises a temperature control part provided with a waterproof layer, an electric heating phase change energy storage layer and a skin-friendly layer from outside to inside, and a scrotum supporting part for supporting the scrotum; the temperature control part further comprises a temperature sensor array embedded in the electric heating phase change energy storage layer; the scrotum supporting part comprises an elastic supporting belt provided at the inner side of the crotch of the front pant piece and adjustable in height by an adjusting buckle, a pressure sensor for monitoring the pressure value of the elastic supporting belt to correspondingly adjust the adjusting buckle, a scrotum supporting pad provided at the inner side of the elastic supporting belt and matching the anatomical shape of the scrotum, and a stress supporting strip provided at the outer side of the elastic supporting belt; the back pant piece is relatively fixed with a power supply compartment for providing heating power to the electric heating phase change energy storage layer, and a controller for controlling the temperature of the electric heating phase change energy storage layer and electrically connected with the temperature sensor array; the waist quick-release connecting belt comprises a conductive layer electrically connected with the electric heating phase change energy storage layer, and a quick connector for electrically connecting the conductive layer with the power supply compartment and the controller.

[0007] In some embodiments of the present disclosure, the electric heating phase change energy storage layer comprises a flexible electric heating element layer and a phase change energy storage layer covering the outside of the flexible electric heating element layer; the phase change energy storage layer comprises two phase change material sub-layers with different phase change temperatures, which are correspondingly staggered and in a honeycomb composite structure.

[0008] In some embodiments of the present disclosure, the adjusting buckle comprises a magnetic female buckle fixedly arranged on the front pant piece, and a magnetic male buckle magnetically matched with the magnetic female buckle and used for adjusting the length of the elastic supporting belt; the pressure sensor is correspondingly embedded in the root of the elastic supporting belt.

[0009] In some embodiments of the present disclosure, the elastic supporting belt comprises an elastic knitted layer, a silica gel stress buffer layer and an antibacterial layer from inside to outside.

[0010] In some embodiments of the present disclosure, the scrotum supporting pad is a double curvature arc surface with a major curvature radius of 30±5mm and a minor curvature radius of 50±5mm; and the scrotum supporting pad comprises a micro air flow channel array with a pore size of 0.5-1mm; the stress supporting strip is a gradient elastic modulus material piece, and the elastic modulus correspondingly decreases from the middle to both sides.

[0011] In some embodiments of the present disclosure, the front pant piece further comprises a pocket provided on the outside of the waterproof layer for correspondingly filling a hot compress bag or a cold compress bag.

[0012] According to another aspect of the present disclosure, a method for regulating the use of the split epididymitis physiotherapy trousers is provided, which comprises the following steps: (1) Corresponding to establish a user feature vector including body surface temperature change rate α , pressure tolerance threshold β based on historical treatment data or clinical test data; (2) Corresponding to obtain a temperature distribution matrix T ( x, y, t ) in real time by the temperature sensing array; (3) Calculate the temperature adjustment amount ; Where, e(t) is the temperature error, and e(t) = T target -T avg(t) , T target is the preset target temperature, T avg(t) is the average temperature monitored by the temperature sensing array in real time; K p ，K i ，K d are proportional, integral, and differential coefficients, respectively; (4) Corresponding to calculate and adjust the magnetic attraction force of the adjustment buckle F = σ ( β - P inst ) according to the acquisition data of the pressure sensor; Where, β is the user pressure tolerance threshold, P inst is the pressure value monitored by the pressure sensor in real time, σ is the pressure compensation coefficient; (6) Corresponding to dynamically adjust the heating temperature of the electrothermal phase change energy storage layer based on a dynamic adjustment learning model; (7) Generate a therapeutic effect evaluation index containing temperature field equalization parameters γ , pressure stability δ : γ =1- σ ( T ) / μ ( T ) and δ =1 / (1+Var( P ) / P 2 avg ); Where, σ ( T ) is the standard deviation of the abdominal region temperature, μ (T ) is the average temperature of the abdominal area; Var( P ) is the variance of the pressure value, P avg is the average pressure; (8) After establishing a communication connection with the mobile terminal and receiving user feedback, the user feature vector is updated accordingly; (9) Generate a treatment recommendation report based on user feedback and the efficacy evaluation indicators.

[0013] In some embodiments of the present disclosure, in step (6), the establishment of the dynamic adjustment learning model includes the following sub-steps: (611) Several groups of patient treatment data are collected as training sets, and the input features include { α , β , T (x, y), P max}; (612) The spatiotemporal characteristics of temperature distribution are extracted through convolutional neural networks to generate feature maps. Φ ( T ); (613) A reinforcement learning algorithm is used to optimize the control strategy π: S→A, where the state space S = Φ(T)⊕P and the action space A = {ΔQ, F}; (614) Updating the policy value function through Q-learning Q ( s , a )← Q ( s , a )+ η [ r + γ' max Q ( s ', a ')- Q ( s , a )];in, s To include temperature distribution map Φ ( T ) and pressure data P The current state, a Including temperature adjustment Δ Q and magnetic attraction F The action space, η is the learning rate, γ' is the discount factor, r is the immediate reward function; The dynamic adjustment of the heating temperature of the electrothermal phase change energy storage layer includes the following sub-steps: (621) Continuousk The treatment data were analyzed in the time domain and individual thermal response functions were established: H ( θ )= A e -λt + B ·sin( ωt + φ ); in, θ ={ A , λ , B , ω , φ} is the individual characteristic parameter, A is the amplitude of the initial temperature response, λ is the temperature attenuation coefficient; B, ω 、 φ are the amplitude, frequency and phase of the periodic temperature fluctuations, respectively; (622) According to H ( θ )Goodness of fit R 2 The corresponding adjusted PID parameters are: K' p = K p ·(1+0.2·(1- R ²)), K' i = K i / (1+0.5·| ΔT / Δt |), K' d = K d ·exp(-0.1· σ T ²); Among them, Δ T / Δ t is the temperature change rate, σ T 2 is the temperature fluctuation variance.

[0014] In some embodiments of the present disclosure, in step (7), after the efficacy evaluation index is generated, θ < γ threshold When , the temperature field reconstruction is started and the energy supply priority of the flexible electric heating element is redistributed; δ thresholda preset threshold; the temperature field reconstruction comprises the following steps: (71) dividing the abdominal region into m x n grid cells; (72) calculating the heat flow density γ of each cell q ; ij σ ·Δ T ij / Δ x ; wherein, μ is the thermal conductivity of the material, Δ T ij is the temperature gradient of the grid cell δ , Δ x is the spatial step; (73) establishing a heat balance equation: ; wherein, σ is the material density, c p is the specific heat capacity; Q gen is the heat generated by the electro-thermal phase change energy storage layer; (74) solving the optimal energy supply distribution by the finite element method, so that the objective function J =Σ( T ij - T target )² is minimized.

[0015] In some embodiments of the present disclosure, in the step (9), the generation of the treatment recommendation report comprises the following sub-steps: (91) analyzing the user feedback text based on a natural language processing model; (92) matching the corresponding symptoms and treatment parameters; (93) generating a treatment recommendation report including temperature adjustment suggestion Δ T rec , wearing time suggestion t rec : and ; wherein, μ 1, σ 2 are empirical coefficients, μ target , γ target are the target balance degree and stability, respectively; δ 0 is the basic treatment time, k is the decay coefficient.

[0016] One or more technical solutions provided in the embodiments of this application have at least any of the following technical effects or advantages: 1. The split design of the epididymitis therapy pants allows for electrical and structural separation between the front and back panels through a quick-release connection structure. This allows for separate replacement of the front or back panels, reducing maintenance costs. The pants are also easy to wear and are more user-friendly for patients with limited mobility.

[0017] 2. The scrotal support pad, whose curved contour matches the scrotal anatomy, and the stress support strips made of gradient elastic modulus material work together to ensure that the pressure distribution conforms to the ergonomic curve, greatly improving wearing comfort and contributing to enhanced therapeutic effects.

[0018] 3. Based on dynamic adjustment of learning model and continuous user k Individual thermal response function was established after time domain analysis of treatment data H ( γ ), dynamically optimize the temperature control PID parameters and adjust the magnetic attraction strategy, which has been clinically verified to make the temperature field balanced γ Improved by 40%, pressure stability γ It is improved by 35%, and personalized treatment regulation is achieved through thermal response function, and the treatment efficiency is increased to 92%. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] γ This is a schematic structural diagram of the split epididymitis therapeutic pants in one embodiment of the present application.

[0020] In the above figures, 1 is the front trouser piece and 2 is the back trouser piece. DETAILED DESCRIPTION

[0021] The procedures involved or relied upon in the following embodiments are all conventional or simple procedures in the art, and those skilled in the art can make conventional selections or adaptive adjustments based on specific application scenarios. Unless otherwise specified, the components and other parts involved in the following embodiments are all conventional commercially available products.

[0022] In order to better understand the technical solution of the present application, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0023] Traditional therapeutic pants have limited functionality and rely on exogenous heat or cold compresses, failing to precisely control or dynamically adjust the temperature based on the patient's individual characteristics. Furthermore, the rough structure of the scrotal area of ​​existing therapeutic pants can easily lead to localized compression or excessive relaxation, compromising the therapeutic effect. To address these issues, this example discloses a split epididymitis therapeutic pants comprising front and back panels connected by a quick-release waist strap and an elastic crotch strap.

[0024] wherein, referring to γ , the front pants piece 1 can cover the scrotum of the patient, in order to achieve the physiotherapy effect of epididymitis, in the embodiment, the front pants piece 1 includes a temperature control part which can be heated and the heating temperature of which can be adjusted adaptively according to the individual characteristics of the patient. Specifically, the temperature control part is provided with a waterproof layer, an electric heating phase change energy storage layer and a skin-friendly layer from outside to inside, wherein, in the embodiment, the waterproof layer is a polytetrafluoroethylene (PTFE) coated nylon cloth, and the hydrostatic pressure thereof is ≥20 kP, thereby realizing the waterproof effect, avoiding the immersion of external water into the pants piece, affecting the normal work of the heating element and the like, and ensuring the use safety of the physiotherapy pants. The electric heating phase change energy storage layer specifically includes a flexible electric heating element layer and a phase change energy storage sublayer wrapped outside the flexible electric heating element layer. The flexible electric heating layer generates heat after being powered on, thereby achieving the hot compress effect. In order to avoid excessive heat exchange between the heat generated by the flexible electric heating layer and the surrounding environment, thereby reducing the physiotherapy hot compress effect and increasing the energy consumption, in the embodiment, the phase change energy storage sublayer is wrapped and arranged outside the flexible electric heating layer. In the embodiment, in order to achieve good energy storage effect, the phase change energy storage sublayer includes two phase change material sublayers with different phase change temperatures, one of which is a paraffin / expanded graphite composite phase change material (PCM), the phase change temperature of which is 38±0.5℃, and the latent heat value is 220 J / g; the structure is a honeycomb hole with a pore size of 2 mm and a porosity of 65%, and the thickness is 2.5 mm; the other phase change material sublayer is a hydrated salt / silica gel composite phase change material, the phase change temperature of which is 32±0.5℃, and the latent heat value is 180 J / g; the structure is microcapsule packaging, the particle size is 50-100 i, j , and the thickness is 1.5 mm. In the example, the two phase change material sublayers are hot pressed at 150℃ and 5 MPa pressure for 30 seconds to form a composite interlocking structure corresponding to the staggered distribution and honeycomb shape. In addition, in order to ensure the wearing comfort of the physiotherapy pants, the inner layer of the temperature control part of the front pants piece for contacting the skin of the patient is a skin-friendly layer, in the example, the skin-friendly layer is a 70% tencel and 30% modal blended fabric, and the surface is subjected to plasma modification treatment, the contact angle is ≤30°, and the superhydrophilicity is realized.

[0025] Considering that the temperature of the temperature control part is jointly affected by the heating degree of the flexible electric heating layer in the electric heating phase change energy storage layer and the heat storage effect of the phase change energy storage sublayer, in order to accurately regulate and control the heat of the temperature control part and adapt to the different individual needs of patients, in the embodiment, a temperature sensor array is embedded at the electric heating phase change energy storage layer to monitor the real-time temperature at the electric heating phase change energy storage layer as the basis for regulating the heating amount of the flexible electric heating layer. Specifically, in the example, the temperature sensor array specifically adopts NTC thermistor (precision ±0.1℃), and the sampling rate is 1 Hz; clinical tests show that the temperature monitoring error is ≤0.2℃ (compared with infrared thermal imager FLIR T540).

[0026] To achieve effective and reliable support for the scrotum of the patient, in this case, the front pants piece 1 also includes a scrotum support part. Considering that the scrotum support part of the existing physiotherapy pants cannot be adaptively adjusted according to the individual characteristics and needs of the patient, resulting in unsatisfactory treatment effect, in this embodiment, the scrotum support part includes an elastic support belt, and the elastic support belt is adjustably arranged at the crotch position on the inner side of the front pants piece through an adjusting buckle, thereby adaptively adjusting the length of the elastic support belt by adjusting the adjusting buckle to meet the treatment and comfort needs of different patients. In addition, to achieve effective and reliable support for the scrotum, in this case, the inner side of the elastic support belt is provided with a scrotum support pad, and the curved profile of the scrotum support pad matches the anatomical shape of the scrotum, thereby achieving reliable support effect through effective contact between the scrotum support pad and the scrotum.

[0027] Specifically, in this case, to ensure the wearing comfort and support effect of the elastic support belt, the elastic support belt includes, from inside to outside, an elastic woven layer, a silicone stress buffer layer, and an antibacterial layer. Among them, the elastic woven layer is an elastic mesh cloth woven with 80% spandex and 20% nylon, with a thickness of 0.8 mm, a tensile strength of 250%, and a rebound rate of ≥92%; the silicone stress buffer layer has a Shore hardness of HA25±3 and a thickness of 1.2 mm; the antibacterial coating is a polyester fiber containing 1.5% nano silver particles, with a surface friction coefficient μ of 0.15. Overall, the central segment of the elastic support belt has a width of 40 mm and gradually shrinks to 25 mm on both sides; and the adjustable range of the adjusting buckle is 180-240 mm to adapt to different patient sizes. In addition, in this case, the scrotum support pad has a double curvature arc surface with a main curvature radius of 30±5 mm and a secondary curvature radius of 50±5 mm; and considering the wearing comfort, to achieve effective heat dissipation of the scrotum part, the scrotum support pad in this case includes a micro air flow channel array with a pore size of 0.5-1 mm; the number of channels of the micro air flow channel array is 16 per square centimeter; and the pore size gradient is 0.5 mm in the central area and 1.0 mm in the edge area; thereby achieving a local air exchange rate of 0.8 m³ / h in a sitting state.

[0028] To avoid the problem that the stress is too concentrated at the elastic support belt after the scrotal support pad is received, thereby affecting the wearing effect, in the embodiment, a stress support strip is arranged outside the elastic support belt, the stress support strip is a gradient elastic modulus material piece, and the elastic modulus correspondingly decreases from the middle to both sides, thereby realizing dispersion of the support stress. Specifically, in the example, the stress support strip is a thermoplastic polyurethane (TPU) material piece, the central region has an elastic modulus E1 = 1.2 MPa, and both sides decrease to E2 = 0.6 MPa; the modulus gradient is realized through an injection molding process. Through pressure dispersion verification, the maximum pressure point decreases from 12.5 kPa of the traditional support belt to 8.2 kPa, and the dispersion rate increases by 60%. In addition, to ensure the reliability of the structure and effect of the scrotal support part, in the example, the elastic support belt is combined and fixed with the scrotal support pad through ultrasonic welding, and the welding strength is not less than 15 N / mm; in addition, the stress support strip is injection molded by using a multi-cavity mold to ensure that the elastic modulus gradient accuracy is ± 5%.

[0029] In addition, in the example, the relative length of the elastic support belt is adjusted by adjusting the buckle, specifically, the adjusting buckle includes a magnetic female buckle fixedly arranged opposite to the front piece and a magnetic suction sub-buckle used for adjusting the length of the elastic support belt and magnetically matched with the magnetic female buckle. In the example, the magnetic female buckle is arranged in a ring shape by 8 fan-shaped neodymium iron boron magnets (N52 level), the magnetic pole direction is optimized (the N pole points to the center and the S pole points outward), and a high-strength directional magnetic field can be formed when rotating; the magnetic suction sub-buckle is arranged by 6 groups of cylindrical neodymium magnets with a diameter of 3 mm in an alternating polarity (N-S-N-S); thus, when the 8-piece Halbach magnet ring of the magnetic female buckle rotates, the N pole of the optimized arrangement towards the center will generate a rotating magnetic field gradient. Every 15° of rotation, the spatial distribution phase of the magnetic field polarity changes, forming a periodically changing magnetic attraction / repulsion force combination. The 6 groups of alternating magnetic poles (N-S-N-S) of the magnetic suction sub-buckle and the magnetic field of the magnetic female buckle form a 3:4 magnetic pole ratio, and this design produces an asymmetric magnetic field interference. When the magnetic female buckle rotates, the magnetic suction sub-buckle will be subjected to a periodically changing axial magnetic force (alternating attraction and repulsion), and every 15° increase in the magnetic pole phase difference will cause the magnetic suction sub-buckle to realize a certain distance of net displacement through the magnetic force difference accumulation, thereby realizing the adjustment of the length of the elastic support belt through the net displacement of the magnetic suction sub-buckle. In addition, in the embodiment, the rotation adjustment of the magnetic female buckle includes a manual mode and an automatic mode, which respectively realize manual adjustment and automatic adjustment of the magnetic female buckle. Specifically, the outer edge surface of the magnetic female buckle at the position corresponding to the front piece is provided with a knob (with a ratchet scale) for driving the rotation of the magnetic female buckle, and the knob is used for manually adjusting the length of the elastic support belt; and a micro stepping motor (diameter 8 mm, torque 0.2 N·m) is arranged in the magnetic female buckle, and the magnetic female buckle is driven to rotate through a planetary gear reduction set (reduction ratio 10:1), so as to realize adaptive automatic adjustment of the elastic support belt.

[0030] Wherein, in order to realize the adaptive adjustment of the elastic support belt, ensure the comfort and the physiotherapy effect, in this embodiment, a pressure sensor is arranged at the root position of the elastic support belt connected with the magnetic sub-buckle, and the pressure sensor specifically adopts a piezoresistive thin film sensor in this example, with a range of 0-50 KPa and a resolution of 0.1 KPa. The deformation degree of the elastic support belt is judged and monitored through the pressure output value of the pressure sensor, so as to serve as an adjustment index and adjust the length of the elastic support belt according to the patient's tolerance and comfort.

[0031] Considering that the flexible electrothermal layer and the temperature sensing array need reliable and stable power supply when working, and in order to realize the convenience of wearing and using the physiotherapy trousers, a power supply compartment and a controller are arranged opposite and fixed to the back pant piece 2 in this example. The power supply compartment provides power to the electric devices such as the flexible electrothermal layer at the front pant piece. The controller realizes the temperature control of the flexible electrothermal layer and the adaptive adjustment of the length of the elastic support belt. However, since the physiotherapy trousers are designed in a split type including the front pant piece 1 and the back pant piece 2, in order to establish the electrical connection between the power supply compartment and the controller of the back pant piece and the electric devices of the front pant piece, in this embodiment, the waist quick-release connecting belt for connecting the front pant piece and the back pant piece includes a conductive layer corresponding to the electrical connection of the flexible electrothermal layer. In this example, the conductive layer is mixed with polyester fiber (85%) and silver fiber (15%), and the square resistance is ≤0.5 Ω / sq. The current carrying capacity meets 10A continuous power for 30min, and the temperature rise is ≤5℃ (test standard: IEC 62368-1). In addition, the mixed fabric of polyester fiber and silver fiber is further coated with an insulating layer with a thickness of 0.1-0.2mm to realize the insulation and isolation of the internal conductive fabric from the outside. In other embodiments, a self-cleaning coating layer is further provided on the surface of the insulating layer, which contains nano titanium dioxide particles. In order to facilitate the wearing of the physiotherapy trousers, the waist quick-release connecting belt further includes a quick connector for the electrical connection of the conductive layer with the power supply compartment and the controller. The quick connector meets the resistance change rate ≤2% after 5000 times of plugging and unplugging (according to MIL-STD-1344A), thereby ensuring the service life and reliability of the physiotherapy trousers.

[0032] In addition, since only relying on the waist quick-release connecting belt cannot realize the close-fitting wearing of the physiotherapy trousers and good physiotherapy effect, therefore, in this embodiment, the front pant piece 1 and the back pant piece 2 are further connected through the crotch elastic connecting belt. The inner side of the crotch elastic connecting belt in this example is provided with a skin-friendly silica gel layer, which is provided with breathable micropores with a pore size of 80±10 κ nm and a pore density of 200 pores / cm².

[0033] In the present embodiment, in order to realize the functional diversity of the physiotherapy trousers, an insert pocket for accommodating a hot or cold compress bag is arranged outside the waterproof layer of the front pant piece, the opening of the insert pocket is provided with a waterproof zipper, and the inner cavity of the insert pocket is adapted to standard hot and / or cold compress bags, thereby meeting the needs of physiotherapy using external heat or cold sources.

[0034] The present example also discloses a control method for using the split epididymitis physiotherapy trousers, which specifically comprises the following steps: Before the physiotherapy starts, the front pant piece and the back pant piece are first worn on the physiotherapy part of the patient through the waist quick-release connecting belt, and the contact of the conductive layer is ensured, the circuit conduction of the flexible electric heating layer is checked, and the sampling frequency of the temperature sensing array is confirmed to be 1 Hz. In the present embodiment, according to the clinically recommended treatment temperature, the initial target temperature is set through the controller at the back pant piece T target = 38℃.

[0035] (1) Based on the historical treatment data or clinical measurement data, a user feature vector including the body surface temperature change rate α , the pressure tolerance threshold β is established.

[0036] However, there are differences in individual characteristics of users among different patients, in order to achieve the best physiotherapy effect, the physiotherapy setting needs to be adjusted according to the historical treatment data or clinical measurement data of different patients, in the present example, taking a patient as an example, according to the historical data and measurement, the body surface temperature change rate α = 0.5℃ / min; the pressure tolerance threshold β = 12 kPa (based on the pressure sensor calibration).

[0037] (2) The temperature distribution matrix T ( κ ) is obtained in real time by the temperature sensing array.

[0038] In order to realize the adaptive adjustment of the temperature of the physiotherapy trousers, in the present example, temperature measurement is first performed, in the present example, the temperature sensing array is distributed in a 5x5 grid (spacing 2 cm) to collect the temperature of the abdominal region, and generate a real-time temperature matrix T ( x , y , t ); in addition, the average temperature T avg (t) is calculated: , the initial T avg (0)=37.2℃.

[0039] (3) Calculate the temperature adjustment amount.

[0040] After acquiring the current physiotherapy effect temperature of the physiotherapy trousers by the temperature sensor array, in this embodiment, PID control is adopted for temperature adaptability adjustment, wherein the temperature adjustment amount ΔQ is: ; wherein, i, j is the temperature error and ρ target -T avg(t) , T target is the preset target temperature, T avg(t) is the average temperature monitored by the temperature sensor array in real time; K p ，K i ，K d are the proportional, integral and differential coefficients respectively. In this embodiment, the values are set according to experience K p =1.2 W / (m 2 ·℃), K d =0.3 W / (m 2 ·℃ / s), the temperature error e ( t ) =38-37.2=0.8℃; therefore the output adjustment amount ΔQ is Q =1.2×0.8 + 0.05∫ t 00.8 η + 0.3× η / γ , corresponding to the dynamic adjustment of the heating power of the flexible electrothermal layer.

[0041] (4) According to the data collected by the pressure sensor, the magnetic attraction force of the adjusting buckle is calculated and adjusted.

[0042] In order to ensure the comfort of the scrotal support, in this embodiment, the stress on the elastic support belt needs to be collected and the length of the elastic support belt needs to be adjusted adaptively to adjust the supporting effect of the scrotal support part. Specifically, in this embodiment, the stress on the elastic support belt is monitored in real time by a pressure sensor, and in this embodiment, multiple adjusting buckles are provided to increase the adjustment range of the elastic support belt, so that the pressure values of each adjusting buckle are established by the pressure sensor of each adjusting buckle: P inst ={4.2KPa, 5.1KPa, 3.8KPa,}; Then the average pressure P avg =4.37KPa, and the variance Var(P)=0.28KPa 2 .

[0043] and the magnetic attraction force of each adjusting buckle is calculated based on the pressure measurement data: F = δ ( β - P inst )= 1.2×(12-4.2)=9.36N; wherein, β is the user pressure tolerance threshold, P inst is the pressure value monitored by the pressure sensor in real time, τ is the pressure compensation coefficient, which is 1.2 in this example.

[0044] (6) Based on the dynamic adjustment learning model, the heating temperature of the electro-thermal phase change energy storage layer is dynamically adjusted.

[0045] Considering that the regulation and control accuracy and reliability of the traditional PID control based on experience parameters are relatively poor, the dynamic learning model is used for dynamic adjustment of the PID control parameters in this example.

[0046] Specifically, the establishment of the dynamic adjustment learning model includes the following sub-steps: (611) Collect a plurality of sets of patient treatment data as a training set, and the input features include { α , β , T (x, y), P max}.

[0047] In this example, 100 cases of epididymitis patient treatment data were collected, each containing: body surface temperature distribution T ( x , y ) (5x5 grid, sampling interval 10 min); maximum pressure value P max (range 8-15 kPa); and corresponding user feature vector { α , β} is constructed.

[0048] (612) Extract the temperature distribution spatiotemporal features by a convolutional neural network to generate a feature map θ ( T ).

[0049] The temperature distribution matrix is processed using a convolutional neural network (CNN). In this example, the input layer of the convolutional neural network is 5x5x1 (temperature data); the convolutional layer includes a 3x3 filter, 16 channels, and ReLU activation; the pooling layer is 2x2 max pooling; and the fully connected layer outputs a 256-dimensional feature map Φ( T ).

[0050] (613) Optimize the control strategy π: S→A by reinforcement learning algorithm; wherein, the state space S=Φ(T)⊕P, the action space A={ΔQ, F}; In this example, the state space S =Φ( T )⊕ P (256 dimensions + pressure data); the action space A ={Δ Q ∈[0,2]W / m 2 , F ∈[5,15]N}.

[0051] (614) Update the policy value function Q ( s , a )← Q ( s , a )+ γ [ r + δ max Q ( s ', a ')- Q ( s , a )]; wherein, s is the current state including the temperature distribution map Figure 1 ( T ) and pressure data P , a is the action space including the temperature adjustment amount Δ Q and magnetic force F , Figure 1 is the learning rate, μm is the discount factor, r is the immediate reward function.

[0052] In this example, the learning rate μm = 0.01, the discount factor x, y, t = 0.9; the reward function r = e(t) + e(t) = T (equilibrium degree + stability); after 1000 iterations of training, the model control accuracy is improved to 92.5%.

[0053] After the dynamic adjustment learning model is established, the dynamic adjustment of the heating temperature of the electro-thermal phase change energy storage layer is carried out based on the model, which includes the following sub-steps: (621) Perform time domain analysis on the user's continuous k times of treatment data, and establish an individual thermal response function: H (dt )= de -λt + B ·sin( dt + σ ); in, σ ={ A , Φ , B , η , γ'} is the individual characteristic parameter, A is the amplitude of the initial temperature response, Φ is the temperature attenuation coefficient; η 、 γ' are the amplitude, frequency and phase of the periodic temperature fluctuation, respectively.

[0054] In this example, the user's 5 consecutive treatment data are fitted. H ( η ): H ( γ )=1.2∙ e -0.05t +0.3∙sin(0.1 t +0.5), goodness of fit R 2 =0.89 (satisfies R 2 >0.85 validity criterion) (622) According to H ( γ )Goodness of fit R 2 The corresponding adjusted PID parameters are: K' p = K p ·(1+0.2·(1- R ²)), K' i = K i / (1+0.5·| δ / θ |), K' d = K d ·exp(-0.1· A e T ²); Among them, Δ T / Δ t is the temperature change rate, ωtT 2 is the variance of temperature fluctuation.

[0055] In this example, according to H ( φ ) goodness of fit R 2 , the PID parameters are adjusted as follows: .

[0056] (7) generate the efficacy evaluation index containing temperature field equalization parameters θ , pressure stability λ : ω =1- φ ( T ) / λ ( T ) and B, ω =1 / (1+Var( P ) / P 2 avg ); wherein, φ ( T ) is the standard deviation of abdominal region temperature, θ ( T ) is the average temperature of abdominal region; Var( P ) is the variance of pressure value, P avg and

[0057] In this example, after 30 minutes of treatment, it is measured that θ ( T )=0.25℃, θ ( T )=38.1℃, then ΔT =1-0.25 / 38.1=0.993 (up to standard); and the pressure variance Var( P ) =0.15 kPa 2 , P avg =11.2 kPa, then Δt =1 / (1+0.15 / 11.2 2 )=0.98 (up to standard).

[0058] After the efficacy evaluation index is generated, when σ < σ threshold , the temperature field is reconstructed, and the energy supply priority of the flexible electrothermal element is redistributed. θ threshold is a preset threshold; in this example γ= 1 - 0.25 / 38.1 = 0.993, which is higher than the threshold δ threshold = 0.9, no need to trigger temperature field reconstruction.

[0059] Specifically, the temperature field reconstruction includes the following steps: (71) dividing the abdominal region into m x n grid cells; (72) calculating the heat flow density γ of each cell q ij = σ · Δ T ij / Δ x ; wherein, μ is the thermal conductivity of the material, Δ T ij is the temperature gradient of the grid cell δ , Δ x is the spatial step; (73) establishing a heat balance equation: ; wherein, σ is the material density, c p is the specific heat capacity; Q gen is the heat generated by the electro-thermal phase change energy storage layer; (74) solving the optimal energy supply distribution by the finite element method, so that the objective function J = Σ( T ij - T target )² is minimized.

[0060] (8) After establishing a communication connection with the mobile terminal and receiving user feedback, the user feature vector is updated accordingly.

[0061] In this example, the controller establishes a corresponding communication connection with the mobile terminal through the Bluetooth protocol to obtain user feedback experience. In addition, in this example, the mobile terminal also receives the temperature and pressure data collected by the controller through Bluetooth communication, and displays a three-dimensional temperature cloud chart and a pressure distribution chart at the mobile terminal.

[0062] (9) generating a treatment recommendation report in combination with user feedback and the efficacy evaluation index.

[0063] Wherein, after receiving user feedback, the generation of the treatment recommendation report includes the following sub-steps: (91) analyzing the user feedback text based on a natural language processing model.

[0064] As in the present embodiment, the user feeds back "local slight burning sensation" according to the use experience through the mobile terminal, the controller, after receiving the feedback, analyzes the user feedback text "local slight burning sensation" based on the natural language processing model, and extracts the keyword "burning sensation" associated with the "temperature too high" node in the knowledge graph.

[0065] (92) Corresponding matching of associated symptoms and treatment parameters.

[0066] (93) Generate a treatment recommendation report including temperature adjustment suggestion Δ T rec , wearing time suggestion t rec : and ; wherein, μ 1, σ 2 is an empirical coefficient, μ target , γ target target balance and stability, respectively; δ 0 is the basic treatment time, k is the attenuation coefficient.

[0067] Set γ target =0.95, γ target =0.9, empirical coefficient γ 1=0.5, γ γ i, j κ κ i, j ρ η η γ δ τ γ δ η η 2=0.3, then: Δ T rec =0.5×(0.993-0.95)+0.3×(0.98-0.9)=0.03℃.

[0068] Wearing time suggestion: t rec =60×exp(-0.1×0.03)=59.8min.

[0069] Accordingly, the mobile terminal displays the treatment recommendation: "Suggest to lower the target temperature by 0.03℃, and wear for 59min today."

[0070] Although some preferred embodiments of the present application have been described, those skilled in the art can make further changes and modifications to these embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including all preferred embodiments and all changes and modifications falling within the scope of the present application.

[0071] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A split epididymitis treatment pants, characterized in that: It includes a front trouser piece and a back trouser piece connected correspondingly by a waist quick-release connecting belt and a crotch elastic connecting belt; The front trouser piece includes a temperature control portion, which is provided with a waterproof layer, an electrothermal phase change energy storage layer, and a skin-friendly layer from the outside to the inside, and a scrotum support portion for supporting the scrotum; the temperature control portion also includes a temperature sensor array correspondingly embedded in the electrothermal phase change energy storage layer; the scrotum support portion includes an elastic support belt provided at the crotch position on the inner side of the front trouser piece and adjustable in relative height via an adjustment buckle, a pressure sensor for monitoring the pressure value of the elastic support belt and adjusting the adjustment buckle accordingly, a scrotum support pad provided on the inner side of the elastic support belt and having a curved surface profile matching the anatomical morphology of the scrotum, and a stress support strip provided on the outer side of the elastic support belt; The back trouser piece is relatively fixed with a power supply compartment for providing heating electric energy to the electrothermal phase change energy storage layer, and a controller for controlling the temperature of the electrothermal phase change energy storage layer and electrically connected to the temperature sensor array; The waist quick-release connecting belt includes a conductive layer electrically connected to the electrothermal phase change energy storage layer and a quick connector for electrically connecting the conductive layer to the power supply compartment and the controller.

2. The split epididymitis physiotherapy pants according to claim 1, characterized in that: The electrothermal phase change energy storage layer includes a flexible electrothermal element layer and a phase change energy storage layer wrapped around the flexible electrothermal element layer; the phase change energy storage layer includes two phase change material sublayers with different phase change temperatures, and the two phase change material sublayers are correspondingly staggered and present a honeycomb composite structure.

3. The split epididymitis treatment pants according to claim 1, characterized in that: The adjustment buckle includes a magnetic female buckle fixedly arranged relative to the front trouser piece, and a magnetic sub-buckle magnetically matched with the magnetic female buckle and used to adjust the length of the elastic support strap; the pressure sensor is correspondingly embedded in the root of the elastic support strap.

4. The split epididymitis treatment pants according to claim 1, characterized in that: The elastic support belt includes an elastic braided layer, a silicone stress buffer layer and an antibacterial layer from the inside to the outside.

5. The split epididymitis treatment pants according to claim 1, characterized in that: The scrotal support pad has a double-curvature arc surface with a primary curvature radius of 30±5 mm and a secondary curvature radius of 50±5 mm; and the scrotal support pad includes an array of micro-airflow channels with an aperture of 0.5 to 1 mm; the stress support strip is made of a material with a gradient elastic modulus, and the elastic modulus decreases accordingly from the middle to both sides.

6. The split epididymitis treatment pants according to claim 1, characterized in that: The front trouser piece also includes an insert pocket arranged outside the waterproof layer for correspondingly filling a hot compress bag or a cold compress bag.

7. The control method of the split epididymitis therapeutic pants according to claim 1, characterized in that: The steps include: (1) Establish corresponding data including the rate of change of body surface temperature based on historical treatment data or clinical measurement data α , pressure tolerance threshold β User feature vector of (2) The temperature distribution matrix is ​​obtained in real time by the temperature sensing array. T ( x,y,t ); (3) Calculate the temperature adjustment amount ; in, e(t) is the temperature error and e(t)=T target -T avg(t) , T target To preset the target temperature, T avg(t) The average temperature monitored in real time by the temperature sensing array; K p ，K i ，K d are proportional, integral, and differential coefficients respectively; (4) Calculate and adjust the magnetic attraction force of the adjustment buckle according to the data collected by the pressure sensor F = σ ( β - P inst ); in, β is the user's stress tolerance threshold, P inst The pressure value monitored in real time by the pressure sensor, σ is the pressure compensation coefficient; (6) dynamically adjusting the heating temperature of the electrothermal phase change energy storage layer based on a dynamic adjustment learning model; (7) Generate temperature field equilibrium parameters γ , pressure stability δ Efficacy evaluation indicators: γ =1- σ ( T ) / μ ( T )and δ =1 / (1+Var( P ) / P 2 avg ); in, σ ( T ) is the standard deviation of the abdominal area temperature, μ ( T ) is the average temperature of the abdominal area; Var( P ) is the variance of the pressure value, P avg is the average pressure; (8) After establishing a communication connection with the mobile terminal and receiving user feedback, the user feature vector is updated accordingly; (9) Generate a treatment recommendation report based on user feedback and the efficacy evaluation indicators.

8. The control method according to claim 7, characterized in that: In step (6), the establishment of the dynamic adjustment learning model includes the following sub-steps: (611) Several groups of patient treatment data are collected as training sets, and the input features include { α , β , T (x, y), P max }; (612) The spatiotemporal characteristics of temperature distribution are extracted through convolutional neural networks to generate feature maps. Φ ( T ); (613) A reinforcement learning algorithm is used to optimize the control strategy π: S→A, where the state space S = Φ(T)⊕P and the action space A = {ΔQ, F}; (614) Updating the policy value function through Q-learning Q ( s , a )← Q ( s , a )+ η [ r + γ' max Q ( s ', a ')- Q ( s , a )];in, s To include temperature distribution map Φ ( T ) and pressure data P The current state, a Including temperature adjustment Δ Q and magnetic attraction F The action space, η is the learning rate, γ' is the discount factor, r is the immediate reward function; The dynamic adjustment of the heating temperature of the electrothermal phase change energy storage layer includes the following sub-steps: (621) Continuous k The treatment data were analyzed in the time domain and individual thermal response functions were established: H ( θ )= A.e -λt+B ·sin( ωt + φ ); in, θ ={ A , λ , B , ω , φ } is the individual characteristic parameter, A is the amplitude of the initial temperature response, λ is the temperature attenuation coefficient; B.ω 、 φ are the amplitude, frequency and phase of the periodic temperature fluctuations, respectively; (622) According to H ( θ )Goodness of fit R 2 The corresponding adjusted PID parameters are: K' p = K p ·(1+0.2·(1- R ²))， K' i = K i / (1+0.5·| ΔT / Δt |)， K' d = K d ·exp(-0.1· σ T ²); Among them, Δ T / Δ t is the temperature change rate, σ T 2 is the temperature fluctuation variance.

9. The control method according to claim 7, characterized in that: In the step (7), after the efficacy evaluation index is generated, γ < γ threshold When , the temperature field reconstruction is started and the energy supply priority of the flexible electric heating element is redistributed; γ threshold is a preset threshold; the temperature field reconstruction includes the following steps: (71) Divide the abdominal area into m × n grid cells; (72) For each unit ( i, j ) Calculate heat flux q ij = κ ·Δ T ij / Δ x ;in, κ is the thermal conductivity of the material, Δ T ij is a grid cell ( i, j ) temperature gradient, Δ x is the spatial step length; (73) Establish the heat balance equation: ; in, ρ is the material density, c p is the specific heat capacity; Q gen The heat generated by the electrothermal phase change energy storage layer; (74) The optimal energy distribution is solved by the finite element method so that the objective function J =Σ( T ij - T target )²minimize.

10. The control method according to claim 7, characterized in that: In step (9), the generation of the treatment recommendation report includes the following sub-steps: (91) Parsing user feedback text based on natural language processing models; (92) Corresponding matching of associated symptoms and treatment parameters; (93) Generate temperature adjustment suggestions including Δ T rec , Wearing time recommendations t rec Treatment Recommendations Report: and ; in, η 1, η 2 is the empirical coefficient, γ target , δ target They are target balance and stability respectively; τ 0 is the basic treatment time, k is the attenuation coefficient.

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