Plateau closed-loop control cervical and lumbar deep tissue precise heat therapy and temperature monitoring system

Abstract

The present application relates to the technical field of medical rehabilitation and physical therapy, and particularly relates to a highland closed-loop controlled cervical and lumbar deep tissue precise thermotherapy and temperature monitoring system, comprising the following modules: a physiological signal acquisition module, which is used for acquiring the surface temperature, deep tissue temperature, microcirculation blood flow and muscle group electrophysiological signal of the cervical and lumbar region, and synchronously calibrating each signal to form multi-parameter physiological state data; a highland physiological compensation model construction module, which is used for performing highland environment physiological compensation on the tissue heat transfer coefficient and heat dissipation rate according to the blood oxygen level and blood flow velocity in the physiological state data, and obtaining the tissue heat transfer parameters which are corrected by the highland characteristics. In the present application, the multi-parameter physiological signals are acquired and the highland physiological compensation is performed, the deep temperature is controlled by combining the closed-loop thermotherapy and safety monitoring, and then the individualized dynamic adjustment precise thermotherapy is formed, so that the problem that the deep temperature is difficult to stabilize caused by the fixed power heating of the traditional cervical and lumbar thermotherapy is improved.

Description

Technical Field

[0001] This invention relates to the field of medical rehabilitation and physical therapy technology, and in particular to a high-altitude closed-loop control system for precise thermotherapy and temperature monitoring of deep tissues of the cervical and lumbar spine. Background Technology

[0002] The treatment of cervical and lumbar spine diseases has a wide clinical demand worldwide, especially for patients with chronic neck and back pain, intervertebral disc degeneration, and myofascial injuries. High-precision thermotherapy is gradually becoming an important direction for non-invasive rehabilitation. Traditional cervical and lumbar spine thermotherapy mostly uses fixed-power heating, which, due to the lack of real-time physiological data support, makes it difficult to accurately control the temperature of deep tissues. In high-altitude and low-oxygen environments, the blood oxygen level of human tissues decreases and blood flow rate changes, making the heat transfer and tissue response of traditional thermotherapy highly uncertain, easily leading to undertreatment or overheating risks, and lacking individualized control methods. Current technologies cannot achieve closed-loop thermotherapy control with multi-parameter fusion, nor can they effectively guarantee safety and efficacy stability. Summary of the Invention

[0003] To overcome the above shortcomings, this invention provides a high-altitude closed-loop control system for precise thermotherapy and temperature monitoring of deep tissues in the cervical and lumbar spine, aiming to improve the problem of unstable deep temperature caused by fixed-power heating in traditional cervical and lumbar spine thermotherapy.

[0004] In a first aspect, the present invention provides the following technical solution: a high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues, comprising the following modules: The physiological signal acquisition module is used to acquire surface temperature, deep tissue temperature, microcirculation blood flow and muscle electrophysiological signals of the cervical and lumbar spine region, and to synchronously calibrate each signal to form multi-parameter physiological state data. The plateau physiological compensation model construction module is used to perform plateau environment physiological compensation on tissue heat transfer coefficient and heat dissipation rate based on blood oxygen level and blood flow velocity in the physiological state data, and obtain tissue heat transfer parameters corrected by plateau characteristics. The deep tissue temperature control target generation module is used to set the deep tissue target temperature distribution and corresponding thermotherapy energy action level based on the tissue heat transfer parameters and the target treatment tissue hierarchical structure. The closed-loop thermotherapy control module is used to adjust the thermotherapy output power and energy focusing depth according to the target temperature distribution and the real-time deep tissue temperature deviation, so as to achieve dynamic closed-loop regulation of deep temperature. The three-dimensional focused heat therapy execution module is used to perform heat therapy on the target tissue in a controllable area, with a controllable depth and controllable power according to the instructions of the closed-loop heat therapy control module. The physiological response safety monitoring module is used to determine the tissue stress state based on the electrophysiological changes of muscle groups and the deep temperature rise rate, and to output a safety control signal to limit or interrupt hyperthermia when the safety threshold is exceeded. The data recording and parameter update module is used to store the temperature regulation trajectory and physiological response information during the treatment process, and to update the individualized treatment parameters accordingly in subsequent treatments.

[0005] By adopting the above technical solutions, multi-parameter physiological signals are collected and high-altitude physiological compensation is performed. Combined with closed-loop thermotherapy and safety monitoring, deep temperature can be controlled, thereby forming individualized dynamic adjustment of precise thermotherapy. This improves the problem of unstable deep temperature caused by fixed power heating in traditional cervical and lumbar spine thermotherapy.

[0006] Preferably, the physiological signal acquisition includes: Surface temperature, deep tissue temperature, microcirculatory blood flow, and electrophysiological signals of muscle groups in the cervical and lumbar spine region were collected. Perform unified time calibration and synchronization processing on multi-source signals; This generates a multi-parameter physiological state data sequence that can be used for subsequent model construction.

[0007] Preferably, the construction of the high-altitude physiological compensation model includes: Extracting blood oxygenation level and blood flow velocity indicators from multi-parameter physiological state data; Based on the aforementioned indicators, the tissue heat transfer parameters and heat dissipation rate are corrected for high-altitude environmental characteristics. Output a tissue heat transfer parameter model corrected for the physiological characteristics of the plateau environment.

[0008] Preferably, the generation of the deep tissue temperature control target includes: Determine the tissue hierarchical depth structure of the target treatment area; Set the target temperature distribution curve based on the tissue heat transfer parameters; Generate temperature control target instructions to guide the energy levels of thermotherapy.

[0009] Preferably, the closed-loop hyperthermia control includes: Real-time acquisition of deep tissue temperature monitoring data; Calculate the deviation between the stated temperature and the target temperature; The output power and energy focusing depth of the thermotherapy are dynamically adjusted based on the deviation.

[0010] Preferably, the closed-loop hyperthermia control further includes: Determine whether the real-time temperature deviation is within the set stable range; Keep the current hyperthermia output parameters unchanged when the deviation meets the stability condition; A readjustment instruction is triggered when the deviation exceeds the stable range.

[0011] Preferably, the stereotactic thermal therapy includes: Select the area of ​​action for thermotherapy energy according to the closed-loop control command; Adjust the energy focusing depth according to the target organizational level; Three-dimensional focused hyperthermia is performed in a continuous or pulsed output mode.

[0012] Preferably, the physiological response safety monitoring includes: Real-time monitoring of changes in muscle electrophysiological activity; Monitor the rate of temperature rise in deep tissues; When the monitored value exceeds the safety threshold, a command to limit or interrupt the output of heat therapy is issued.

[0013] Preferably, the physiological response safety monitoring further includes: Monitor the recovery process of physiological parameters after output restriction or interruption commands; Determine whether the safety threshold condition needs to be met again; Resume heat therapy output once the conditions are met.

[0014] Preferably, the data recording and parameter updating include: Record temperature changes and physiological responses during treatment; Based on the recorded data, generate individualized parameter update results; The hyperthermia control strategy will be adjusted based on the updated results during subsequent treatment cycles.

[0015] The present invention has the following beneficial effects: 1. In this invention, by collecting multi-parameter physiological signals and performing high-altitude physiological compensation, combined with closed-loop thermotherapy and safety monitoring, the deep temperature can be controlled, thereby forming a personalized dynamic adjustment of precise thermotherapy, which improves the problem of unstable deep temperature caused by fixed power heating in traditional cervical and lumbar spine thermotherapy.

[0016] 2. In this invention, by performing physiological compensation for the tissue heat transfer coefficient and heat dissipation rate based on blood oxygen level and blood flow velocity in the high-altitude environment, tissue heat transfer parameters corrected for high-altitude characteristics are obtained. This improves the problem that traditional high-altitude cervical and lumbar spine hyperthermia mostly adopts the plain heat transfer model, which does not take into account the physiological differences in the high-altitude environment, resulting in unpredictable hyperthermia effects.

[0017] 3. In this invention, by setting the target temperature distribution of deep tissues and the corresponding thermotherapy energy action level, a layered and precise heat energy transfer is achieved, thereby improving the problem that traditional cervical and lumbar spine thermotherapy mostly uses surface heating, which cannot control the tissue level and thus causes uneven heat distribution in deep tissues.

[0018] 4. In this invention, the output power and energy focusing depth of the thermotherapy are adjusted in real time through the closed-loop thermotherapy control module, thereby dynamically maintaining the temperature stability of deep tissues. This improves the problem that traditional cervical and lumbar spine thermotherapy mostly uses constant power output, which causes large and uncontrollable temperature fluctuations during treatment due to the lack of closed-loop temperature control. Attached Figure Description

[0019] Figure 1 This is a module architecture diagram of the high-altitude closed-loop control precision thermotherapy and temperature monitoring system for deep tissues of the cervical and lumbar spine proposed in this invention. Figure 2 This is a flowchart of the high-altitude closed-loop control precision thermotherapy and temperature monitoring system for deep tissues of the cervical and lumbar spine proposed in this invention. Figure 3 This is a data flow diagram of the high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep tissues of the cervical and lumbar spine proposed in this invention. Figure 4 This is a flowchart of the signal acquisition process of the high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep tissues of the cervical and lumbar spine proposed in this invention. Figure 5 This is a tissue hierarchy diagram of the high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues proposed in this invention. Detailed Implementation

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1: In the first embodiment of the present invention, the present invention provides a high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues, such as... Figures 1-5 As shown, it includes the following steps: The physiological signal acquisition module is used to acquire surface temperature, deep tissue temperature, microcirculation blood flow and muscle electrophysiological signals of the cervical and lumbar spine region, and to synchronously calibrate each signal to form multi-parameter physiological state data. Furthermore, physiological signal acquisition includes: Surface temperature, deep tissue temperature, microcirculatory blood flow, and electrophysiological signals of muscle groups in the cervical and lumbar spine region were collected. Perform unified time calibration and synchronization processing on multi-source signals; This generates a multi-parameter physiological state data sequence that can be used for subsequent model construction.

[0022] Specifically, the physiological signal acquisition module is used to acquire multi-source physiological signals from the cervical and lumbar spine target area, including surface temperature, deep tissue temperature, microcirculatory blood flow, and muscle electrophysiological activity signals. Since various sensor signals have different sampling frequencies and response dynamics, their original timelines differ. Therefore, unified time calibration and synchronization processing are required to construct a multi-parameter physiological state data sequence that can be used for subsequent model calculations.

[0023] The types and sources of acquired signals are as follows: Surface temperature signal: acquired through adhesive or infrared surface temperature sensors, reflecting heat dissipation from the body surface. Deep tissue temperature signal: acquired through ultrasonic echo temperature inversion sensing or miniature implanted thermistors, reflecting the temperature of the thermally affected tissue layer. Microcirculation blood flow signal: acquired through laser Doppler or near-infrared optical methods, reflecting the level of local tissue blood perfusion. Muscle electrophysiological signal: acquired through surface electromyography, reflecting muscle tension and stress state.

[0024] Time synchronization and signal calibration are crucial in the acquisition module, where each signal has a different sampling frequency and clock source. A unified time reference is used. Linear time alignment is performed on each group of signals: ;in This is the original sampling timestamp; For the first Time deviation between the sampling clock and the reference clock of a sensor-like device; This is the corrected unified timestamp.

[0025] For data sequences with different sampling frequencies, linear interpolation is used to form sequences with equal time intervals: ;in For the first The values ​​of each actual sampling point; This represents the signal value under the corresponding unified time base after interpolation.

[0026] The construction and synchronous processing of multi-parameter physiological state data sequences result in the following multi-parameter vector sequence: ;in Surface temperature; Temperature of deep tissues; For microcirculatory blood flow; This represents the electrophysiological signals of the muscle group. This sequence is used as input for subsequent altitude physiological compensation models.

[0027] The input / output data flow is as follows: During the data acquisition phase, the system samples the raw signals from various sensors and converts them from continuous analog signals into discrete digital signals, thereby obtaining the initial raw multi-source signal data.

[0028] Entering the time synchronization stage. The system aligns the original multi-source signal data acquired in the previous stage with a time reference, and eliminates time misalignment between signals from different sensors through techniques such as interpolation and resampling, finally outputting a time-synchronized data sequence that is completely aligned on the time axis.

[0029] During the data construction phase, the system encapsulates multiple time-synchronized parameter data into a unified vector. This process integrates multiple independent signal sequences into a single vector that represents a specific moment in time. Multi-parameter physiological state data of complete physiological state This prepares for subsequent data analysis.

[0030] Provides a direct input time-series data foundation for model processing: Through time synchronization and serialization, different physical quantities are placed in the same reference frame at the same time, ensuring that the parameter calculation premise in the subsequent plateau physiological compensation model and closed-loop control strategy is valid.

[0031] Reflecting the synergistic state of tissue heat, blood flow, and stress in the target area: The collected signals cover three major physiological change factors: heat conduction, blood perfusion, and muscle stress, providing a basis for the system to achieve interpretable regulation of deep tissue temperature change trends.

[0032] Support for closed-loop control operation: The data sequence output by this module provides real-time feedback to the closed-loop hyperthermia control module for power and focus depth adjustment.

[0033] The high-altitude physiological compensation model construction module is used to perform high-altitude environmental physiological compensation on tissue heat transfer coefficient and heat dissipation rate based on blood oxygen level and blood flow velocity in physiological state data, and obtain tissue heat transfer parameters corrected by high-altitude characteristics. Furthermore, the construction of the high-altitude physiological compensation model includes: Extracting blood oxygenation level and blood flow velocity indicators from multi-parameter physiological state data; Based on the indicators, the heat transfer parameters and heat dissipation rate of the tissue were corrected for the characteristics of the plateau environment. Output a tissue heat transfer parameter model corrected for the physiological characteristics of the plateau environment.

[0034] Specifically, the input data for the high-altitude physiological compensation model construction module comes from the aforementioned multi-parameter physiological state data, which includes two indicators: blood oxygen level and blood flow velocity. The purpose of this module is to correct the parameters of the internal heat transfer mechanism based on the changes in blood oxygen supply and blood perfusion differences under high-altitude conditions, so that the subsequent temperature control model can reflect the true heat diffusion characteristics of an individual under scarce oxygen conditions.

[0035] The input data processing flow extracts two core parameters from the physiological state data sequence: blood oxygen level denoted as... The blood flow velocity is calculated from near-infrared spectroscopy or blood oxygenation sensors; the blood flow velocity is denoted as... The data was calculated by a Doppler blood flow monitoring device. The two extracted data points were time-aligned to ensure they corresponded with the temperature acquisition sequence.

[0036] The tissue heat transfer parameter compensation model shows that the heat transfer process in tissue can be represented by the heat diffusion equation: ; in Indicates tissue temperature; For time; Tissue density; For the specific heat capacity of the tissue; The thermal conductivity coefficient of the tissue; For tissue metabolism and heat production; This is a heat exchange term related to blood perfusion, which is related to blood oxygen supply and blood flow perfusion.

[0037] In high-altitude environments, the decrease in oxygen partial pressure leads to changes in metabolic heat production and blood perfusion heat exchange capacity, thus affecting parameters. and The correction is made, and the correction formula is defined as follows: ; in This represents the tissue thermal conductivity coefficient after correction for plateau characteristics; This indicates the revised blood perfusion heat transfer term; It is a conduction correction factor that changes with blood oxygen levels; These are perfusion heat transfer correction factors that vary with blood flow velocity. The two correction factors mentioned above are calculated based on the correspondence between physiological monitoring data and parameters in the tissue model, ensuring that the heat transfer parameters reflect the impact of changes in oxygen supply capacity at high altitudes on tissue temperature transfer behavior.

[0038] Output data format: The output is a set of corrected tissue heat transfer parameters. This set of parameters is passed to the deep tissue temperature control target generation module and serves as the basis for subsequent thermal action depth decisions and heat input control.

[0039] Through the above correction process, the system can obtain a heat transfer parameter model that is more in line with the actual tissue metabolism and heat transfer conditions based on the real blood oxygen and blood flow physiological characteristics of people in high-altitude areas. This allows the subsequent temperature setting and power control to be independent of the default physiological assumptions of low-altitude areas, avoid temperature regulation deviations, and provide targeted and continuous support for the basic parameters of the thermotherapy control chain.

[0040] The deep tissue temperature control target generation module is used to set the target temperature distribution and corresponding thermotherapy energy action level of deep tissue based on tissue heat transfer parameters and the hierarchical structure of the target treatment tissue. Furthermore, the generation of deep tissue temperature control targets includes: Determine the tissue hierarchical depth structure of the target treatment area; Set the target temperature distribution curve based on the tissue heat transfer parameters; Generate temperature control target instructions to guide the energy levels of thermotherapy.

[0041] Specifically, the inputs to the deep tissue temperature control target generation module include a set of tissue heat transfer parameters corrected for plateau characteristics and tissue hierarchical structural information of the target treatment area. This module sets deep temperature control targets based on tissue heat diffusion characteristics, constraining the energy transfer depth and power range of subsequent hyperthermia execution modules, thus ensuring that the area of ​​heat application is controlled within the anatomical structure.

[0042] Input data content, organize the set of heat transfer parameters: Organizational hierarchy information: a sequence of organizational units divided by depth, denoted as... ;in Indicates the first The depth range of the tissue layer; the depth range starts from the subcutaneous layer and progresses inward.

[0043] The target temperature distribution is defined using a target temperature field description based on thermal equilibrium, employing a temperature distribution curve model under steady-state heat transfer conditions. ; in Represents the target temperature field with respect to depth position The possible values ​​of ; This indicates metabolic fever, which originates from the known basal metabolic level of the tissue.

[0044] Based on the heat capacity and thermal conductivity of different tissue layers, the target temperature field is discretized to each tissue layer, forming a hierarchical target temperature sequence: Each element in the sequence corresponds to the target heating temperature range of a specific depth layer, used to indicate the effective range of the thermotherapy energy.

[0045] The generation of heat therapy energy action level instructions is based on the target temperature sequence, constructing energy action level instructions as follows: ;in A set of temperature control target instructions; For tissue layers that require heating; This refers to the required range of thermotherapy output power for this layer; This parameter represents the duration of the energy application. This instruction serves as the input to the closed-loop hyperthermia control module, controlling the power adjustment and depth-of-focus selection functions.

[0046] Output data format: Deep tissue temperature target distribution model Hierarchical temperature control target instruction set The output data is transmitted to the closed-loop hyperthermia control module to enable subsequent temperature deviation feedback adjustment.

[0047] By mapping tissue hierarchical structure to heat transfer parameters, the heat-receiving relationship of different depth regions during heat transfer can be clearly defined. This allows for zoned setting of the location and intensity of thermotherapy energy. Subsequent control links can then perform layered regulation based on this target instruction during the execution phase. This avoids treating tissue temperature control as a whole value, which can lead to inconsistent heating between deep and shallow layers. It ensures that the temperature target in the control chain is executable and structurally consistent.

[0048] The closed-loop hyperthermia control module is used to adjust the hyperthermia output power and energy focusing depth according to the target temperature distribution and the real-time deep tissue temperature deviation, so as to achieve dynamic closed-loop regulation of deep temperature. Furthermore, closed-loop hyperthermia control includes: Real-time acquisition of deep tissue temperature monitoring data; Calculate the deviation between the current temperature and the target temperature; The output power and energy focusing depth of the thermotherapy are dynamically adjusted based on the deviation.

[0049] Closed-loop hyperthermia control further includes: Determine whether the real-time temperature deviation is within the set stable range; Keep the current hyperthermia output parameters unchanged when the deviation meets the stability condition; A readjustment instruction is triggered when the deviation exceeds the stable range.

[0050] Specifically, the inputs to the closed-loop hyperthermia control module include: real-time monitoring data of deep tissue temperature and a target temperature distribution model of deep tissue. The module adjusts the hyperthermia output power and energy focusing depth based on the deviation between the two, so that the deep tissue temperature varies within a set range.

[0051] Input signal, real-time deep tissue temperature sequence Target temperature sequence ;in Indicates organizational hierarchy Real-time temperature measurement at the location; This indicates the target temperature of the corresponding layer.

[0052] Temperature deviation calculation: For each tissue level, calculate the temperature deviation value. ; in hierarchical The temperature deviation. The temperature deviation sequence is the direct input for closed-loop control. .

[0053] The hyperthermia output parameter adjustment model uses a proportional adjustment model for power control and energy focusing depth control. ;in In the hierarchy Output power at the location; Set the base power for this layer; This is the power regulation coefficient; This indicates the focus depth control output; This represents the energy application depth adjustment function determined by the deviation. The module will... The output is sent to the three-dimensional focused hyperthermia execution module to form control commands.

[0054] Stable range determination and control maintenance: Setting a stable deviation range. ;in Indicates hierarchy Temperature stability tolerance range. Judgment condition: When all All levels meet Maintain the current and Unchanged; when any level deviation exceeds the corresponding The control command is then recalculated and updated.

[0055] Module output, layered power control signal Energy focusing depth control signal The output data is transmitted to the three-dimensional focused heat therapy execution module to drive the energy action execution process.

[0056] By calculating the difference between the target temperature and the real-time temperature in real time, power adjustment and focus depth adjustment can be performed based on temperature distribution rather than the surface average. This ensures that the control quantity corresponds one-to-one with the heating requirements of tissues at different depths, avoiding the influence of surface temperature changes on the deep control results. Determining the stable range prevents frequent changes in control commands due to minor temperature fluctuations, which helps maintain executable power and depth control outputs and ensures the continuity of the control chain throughout the heat transfer sequence.

[0057] The three-dimensional focused hyperthermia execution module is used to perform hyperthermia on the target tissue in a controllable area, depth, and power according to the instructions of the closed-loop hyperthermia control module. Furthermore, the implementation of stereotactic thermal therapy includes: Select the area of ​​action for thermotherapy energy according to the closed-loop control command; Adjust the energy focusing depth according to the target organizational level; Three-dimensional focused hyperthermia is performed in a continuous or pulsed output mode.

[0058] Specifically, the stereotactic focused hyperthermia execution module receives power control signals and energy focusing depth control signals from the closed-loop hyperthermia control module, and is used to perform targeted heat deposition at specified layers within the tissue. The module's inputs include target hyperthermia area information, layer focusing depth information, and output mode setting instructions.

[0059] Input parameters: Region selection command Focus on deep commands Output power sequence Output mode setting parameters ,in Indicates the coordinates or index of the tissue area requiring hyperthermia; For energy focusing at the center depth; Indicates organizational hierarchy The power input value; The value is a continuous output or pulse output mode flag.

[0060] The process of selecting the region of influence of energy establishes a correspondence between the region selection and the direction of energy transfer: ; in Indicates the stimulation range of the area of ​​action of the hyperthermia device; This stage involves converting the area selection command into a mapping function for the device's energy output spatial parameters. The target area is then transformed into radiation or heat transfer plane and depth parameters that the device's execution module can recognize.

[0061] The focusing depth control process is achieved by acoustic, infrared, or electromagnetic focusing parameters of the device. The focusing depth control function is expressed as follows: ;in The depth of the center of action of thermotherapy; To focus the depth modulation function, the transmitted beam shape, radiation angle, or energy density distribution is adjusted according to the device type. The result of the focus depth adjustment is output to the execution unit so that the heat deposition location corresponds to the tissue structure level.

[0062] Power execution model, targeting organizational levels The energy output is calculated as follows: ; in hierarchical Effective heat deposition within; The energy transfer efficiency coefficient is the energy output by the device to this level. The coefficient is derived from the known structural parameters and organizational transmission characteristics of the device and does not involve inferred data.

[0063] Output mode is: when =In continuous output mode, row continuous energy is superimposed; when =In pulse output mode, periodic energy switching is performed. The pulse output sequence can be represented as: ; in It is a time variable; The pulse period; For the time to power on; This is the pulse cycle number.

[0064] The data path is: ; The execution module outputs: actual area of ​​action parameters; actual depth of action parameters; and recorded power. This data is then fed back to the data recording and parameter update module for individualized parameter tuning in subsequent treatment cycles.

[0065] The stereotactic focused hyperthermia execution module translates closed-loop control commands into heat inputs that can be precisely deposited at different tissue depths. This allows heat conduction regulation to directly correspond to the tissue hierarchy, without relying on surface temperature changes. Under hierarchical differentiation, power input and focusing depth are allotropic, making the execution results verifiable and repeatable with the control model.

[0066] The physiological response safety monitoring module is used to determine the tissue stress state based on the electrophysiological changes of muscle groups and the deep temperature rise rate, and to output a safety control signal to limit or interrupt hyperthermia when the safety threshold is exceeded. Furthermore, physiological response safety monitoring includes: Real-time monitoring of changes in muscle electrophysiological activity; Monitor the rate of temperature rise in deep tissues; When the monitored value exceeds the safety threshold, a command to limit or interrupt the output of heat therapy is issued.

[0067] Physiological response safety monitoring further includes: Monitor the recovery process of physiological parameters after output restriction or interruption commands; Determine whether the safety threshold condition needs to be met again; Resume heat therapy output once the conditions are met.

[0068] Specifically, the physiological response safety monitoring module uses real-time monitoring of changes in muscle group electrophysiological activity and the rate of temperature rise in deep tissues as criteria to safely control the tissue state during hyperthermia. This module acquires electrophysiological signals. With deep temperature rise rate Two types of parameters are compared with set physiological safety thresholds to identify whether tissues are under excessive stress or at risk of potential damage.

[0069] Changes in electrophysiological activity can be represented by the root mean square value of the electromyographic signal amplitude. ; in This represents the root mean square value of the electromyographic signal per unit time. This refers to discrete sampling point data of electromyography (EMG) signals. This represents the number of sampling points. The rate of temperature rise in deep tissues is calculated as follows: ;in The rate of temperature rise in deep tissues; , This refers to the deep temperature value at the corresponding time point; For time difference.

[0070] The above parameters and the set safety threshold and Comparison is used to make a judgment: ; Data input and output process: Input data: electrophysiological signals collected by electromyography sensors and temperature sampling values ​​from deep tissue temperature sensing units; Data processing: calculating electromyography RMS, calculating the rate of temperature rise, and comparing it with the set threshold; Output data: safety control commands, including limiting thermal power output, pausing energy transmission, or interrupting the execution of hyperthermia.

[0071] After the system outputs a limit or interrupt command, it continuously monitors the aforementioned electrophysiological parameters and temperature rise rate to determine whether they have returned to below the safe threshold. When the detected values ​​meet: If the system then restores the heat therapy output, it will execute a gradual recovery strategy based on the heat therapy power or frequency.

[0072] The data flow during the recovery phase consists of: input data (new electromyographic signals and temperature data); data processing (continuous threshold comparison); and output data (control signal allowing the heating module to be restarted).

[0073] Real-time monitoring of the electrophysiological response of muscle groups can reflect the stress state of local muscles in response to thermal stimulation and mechanical stretching, enabling safe thermotherapy control based on physiological feedback and avoiding the inability to identify excessive stimulation of deep tissues due to relying solely on surface temperature detection.

[0074] By introducing the deep temperature rise rate as a limiting condition, energy limitation or interruption can be performed in advance before the tissue reaches the damage temperature zone, making safety control proactive rather than relying on fixed duration or surface temperature control.

[0075] By restoring the judgment logic, hyperthermia can be restarted after the tissue's physiological indicators recover, maintaining the continuity of treatment and avoiding treatment interruption caused by completely stopping the machine once the threshold is exceeded. At the same time, it ensures that the recovery process is controlled and does not introduce secondary stress.

[0076] The data recording and parameter update module is used to store the temperature regulation trajectory and physiological response information during the treatment process, and to update the individualized treatment parameters accordingly in subsequent treatments. Furthermore, data recording and parameter updates include: Record temperature changes and physiological responses during treatment; Generate individualized parameter update results based on recorded data; The hyperthermia control strategy will be adjusted based on the updated results during subsequent treatment cycles.

[0077] Specifically, this module records the temperature control trajectory and physiological response information during the hyperthermia process. The recorded information is used to calculate individualized parameters in subsequent treatment cycles to adjust the hyperthermia control strategy, making the control parameters iterative and traceable based on the patient's own physiological changes.

[0078] The recorded temperature trajectory can be represented as: ;in This is a sequence of temperature changes during the treatment cycle; In the first Tissue temperature values ​​measured at each sampling time; This represents the number of sampling points.

[0079] The recorded physiological response information can be represented as a sequence of electromyographic RMS values: ;in This is a sequence of electromyographic changes during the treatment cycle; For the first EMG RMS values ​​at each sampling time; This represents the number of sampling points.

[0080] The module generates individualized parameter update results based on the recorded data. For example, the updated individualized hyperthermia power reference value can be given according to the following weighted parameter update formula: ; in This serves as a power reference value for the next treatment cycle; This is the power reference value for the previous treatment cycle; This is the average temperature deviation relative to the target temperature control level. This represents the average physiological deviation signal relative to the electromyographic stress safety threshold. , which is a weighting coefficient used to control the influence of temperature and physiological factors on the power update amplitude.

[0081] The updated control strategy can be expressed as: ;in This represents the modulation function that controls the output of the thermotherapy control signal; For real-time temperature rise rate, This is a real-time electromyographic response.

[0082] The input and output process is a closed-loop personalized hyperthermia control system. It begins with the data recording stage, where the system stores the collected temperature and electromyography data in a file and outputs the recorded sequence. Then, it enters the parameter update stage, where it integrates the temperature sequence, physiological sequence, and parameters from the previous cycle. By calculating the deviation and executing the update formula, it outputs individualized control parameter results. Finally, in the subsequent treatment execution stage, the system uses these updated parameters and real-time monitoring data to dynamically adjust the output power and modulation mode of the hyperthermia, ultimately generating a control signal and outputting it to the execution module to complete the treatment.

[0083] By recording temperature change trajectories, the thermal response of tissues under different powers and durations can be traced, providing a calculable basis for subsequent thermal control strategies, rather than setting a single fixed power based on empirical values.

[0084] By recording physiological response information, the stress level of tissues under heat stimulation can be reflected, allowing control strategies to be linked to individual tolerance and reducing problems of overheating or understimulation caused by individual differences.

[0085] By using a parameter update formula based on deviation calculation, the initial power is no longer reset in subsequent treatment cycles, but is continuously calculated based on the previous cycle. The control strategy has continuity and adaptability, and does not require additional manual calibration.

[0086] Example 2: In the rehabilitation treatment of deep myofascial tension syndrome, patients experience persistent tension in the deep myofascia of the cervical and lumbar spine due to prolonged postural loading or muscle compensation, manifesting as localized pain, stiffness, and limited mobility. The treatment goal is to release deep muscle tension by achieving a controllable thermotherapy temperature range for the deep muscle groups without causing excessively high superficial tissue temperatures. This system acquires surface temperature, deep tissue temperature, muscle electrophysiological signals, and blood flow changes in the treatment area through a physiological signal acquisition module; corrects tissue heat transfer parameters through a plateau physiological compensation model construction module; sets deep tissue temperature control targets through a temperature control target generation module; dynamically adjusts output power and energy focusing depth based on real-time temperature deviations through a closed-loop thermotherapy control module; applies thermotherapy to the target layer through a three-dimensional focused thermotherapy execution module; performs safety assessments based on changes in electromyographic activity and temperature rise rate through a physiological response safety monitoring module; and records the treatment process and updates individualized thermotherapy parameters in subsequent treatments through a data recording and parameter update module. Existing hyperthermia treatments for deep myofascial release generally suffer from several drawbacks: difficulty in precisely controlling heating levels; significant influence of individual physiological differences on the rate of temperature rise and heating effect in deep tissues; lack of real-time temperature control feedback mechanisms, making it difficult to maintain stable treatment within an effective temperature range; insufficient monitoring of physiological responses such as muscle group electrophysiological changes, leading to inadequate safety control; and the lack of structured recording of treatment data, hindering subsequent individualized treatment parameter adjustments. These issues result in treatment effectiveness relying on experience and exhibiting insufficient repeatability and controllability. To address these problems, this invention provides a high-altitude closed-loop control system for precise hyperthermia and temperature monitoring of deep cervical and lumbar spine tissues. Its structure is as follows... Figure 1 As shown. The specific implementation process of this system is as follows: Specifically, the physiological signal acquisition module obtains surface temperature, deep tissue temperature, microcirculatory blood flow, and muscle electrophysiological signals of the cervical and lumbar spine region. Signals from different sources are aligned according to the same time reference to form a physiological state data sequence that can be used for model analysis. This result serves as the basis for subsequent correction of tissue heat transfer parameters and setting temperature control targets, ensuring data consistency and quantifiability.

[0087] The high-altitude physiological compensation model construction module corrects the tissue's heat transfer coefficient and heat dissipation rate based on collected blood oxygen level and blood flow velocity information, ensuring that the heat transfer parameters conform to the actual changes in oxygen supply and blood circulation under high-altitude conditions. The corrected parameters can be directly used in subsequent deep target temperature setting steps, making the temperature control strategy adaptable to high-altitude regions.

[0088] The deep tissue temperature control target generation module determines the target temperature distribution of the deep tissue based on the corrected tissue heat transfer parameters and the tissue layer depth structure of the target treatment area, and generates corresponding energy application level instructions. The temperature control target output by this module is used to specify the heating location, heating level, and desired heating temperature range, providing quantifiable targets for closed-loop control.

[0089] The closed-loop hyperthermia control module acquires real-time deep tissue temperature monitoring data, compares it with the set target temperature to obtain deviation information, and adjusts the hyperthermia energy output power and energy focusing depth accordingly to maintain the deep tissue temperature within the target range during treatment. When the deviation enters a stable range, the parameters remain unchanged; when the deviation exceeds the range, an adjustment command is triggered to achieve dynamic closed-loop control.

[0090] The three-dimensional focused hyperthermia execution module receives energy output and focusing depth control commands from the closed-loop control module, applying regionally and deeply controllable energy to the target tissue. Depending on treatment needs, it executes continuous or pulsed hyperthermia modes and feeds the results back to the closed-loop control module to establish a real-time adjustment mechanism.

[0091] The physiological response safety monitoring module monitors changes in muscle electrophysiological activity and the rate of temperature rise in deep tissues to determine whether the tissue is under stress or overheating. When the monitored value exceeds the set safety threshold, it outputs a control command to limit or interrupt hyperthermia; after interruption, it continues to track the recovery of physiological parameters, and resumes hyperthermia output once conditions recover, ensuring the safety of the treatment process.

[0092] The data recording and parameter update module records temperature changes, control parameter changes, and physiological response information during treatment. After treatment, it generates individualized treatment adjustment parameters based on the recorded results. These parameters are then used in subsequent treatments to achieve gradual convergence and adaptive adjustment of the thermotherapy control strategy for individuals with the same vital signs.

[0093] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues, characterized in that: Includes the following modules: The physiological signal acquisition module is used to acquire surface temperature, deep tissue temperature, microcirculation blood flow and muscle electrophysiological signals of the cervical and lumbar spine region, and to synchronously calibrate each signal to form multi-parameter physiological state data. The plateau physiological compensation model construction module is used to perform plateau environment physiological compensation on tissue heat transfer coefficient and heat dissipation rate based on blood oxygen level and blood flow velocity in the physiological state data, and obtain tissue heat transfer parameters corrected by plateau characteristics. The deep tissue temperature control target generation module is used to set the deep tissue target temperature distribution and corresponding thermotherapy energy action level based on the tissue heat transfer parameters and the target treatment tissue hierarchical structure. The closed-loop thermotherapy control module is used to adjust the thermotherapy output power and energy focusing depth according to the target temperature distribution and the real-time deep tissue temperature deviation, so as to achieve dynamic closed-loop regulation of deep temperature. The three-dimensional focused heat therapy execution module is used to perform heat therapy on the target tissue in a controllable area, with a controllable depth and controllable power according to the instructions of the closed-loop heat therapy control module. The physiological response safety monitoring module is used to determine the tissue stress state based on the electrophysiological changes of muscle groups and the deep temperature rise rate, and to output a safety control signal to limit or interrupt hyperthermia when the safety threshold is exceeded. The data recording and parameter update module is used to store the temperature regulation trajectory and physiological response information during the treatment process, and to update the individualized treatment parameters accordingly in subsequent treatments.

2. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The physiological signal acquisition includes: Surface temperature, deep tissue temperature, microcirculatory blood flow, and electrophysiological signals of muscle groups in the cervical and lumbar spine region were collected. Perform unified time calibration and synchronization processing on multi-source signals; This generates a multi-parameter physiological state data sequence that can be used for subsequent model construction.

3. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The construction of the plateau physiological compensation model includes: Extracting blood oxygenation level and blood flow velocity indicators from multi-parameter physiological state data; Based on the aforementioned indicators, the tissue heat transfer parameters and heat dissipation rate are corrected for high-altitude environmental characteristics. Output a tissue heat transfer parameter model corrected for the physiological characteristics of the plateau environment.

4. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The generation of the deep tissue temperature control target includes: Determine the tissue hierarchical depth structure of the target treatment area; Set the target temperature distribution curve based on the tissue heat transfer parameters; Generate temperature control target instructions to guide the energy levels of thermotherapy.

5. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The closed-loop hyperthermia control includes: Real-time acquisition of deep tissue temperature monitoring data; Calculate the deviation between the stated temperature and the target temperature; The output power and energy focusing depth of the thermotherapy are dynamically adjusted based on the deviation.

6. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The closed-loop hyperthermia control further includes: Determine whether the real-time temperature deviation is within the set stable range; Keep the current hyperthermia output parameters unchanged when the deviation meets the stability condition; A readjustment instruction is triggered when the deviation exceeds the stable range.

7. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The three-dimensional focused hyperthermia treatment includes: Select the area of ​​action for thermotherapy energy according to the closed-loop control command; Adjust the energy focusing depth according to the target organizational level; Three-dimensional focused hyperthermia is performed in a continuous or pulsed output mode.

8. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The physiological response safety monitoring includes: Real-time monitoring of changes in muscle electrophysiological activity; Monitor the rate of temperature rise in deep tissues; When the monitored value exceeds the safety threshold, a command to limit or interrupt the output of heat therapy is issued.

9. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The physiological response safety monitoring further includes: Monitor the recovery process of physiological parameters after output restriction or interruption commands; Determine whether the safety threshold condition needs to be met again; Resume heat therapy output once the conditions are met.

10. The high-altitude closed-loop controlled precision thermotherapy and temperature monitoring system for deep cervical and lumbar spine tissues according to claim 1, characterized in that, The data recording and parameter updates include: Record temperature changes and physiological responses during treatment; Based on the recorded data, generate individualized parameter update results; The hyperthermia control strategy will be adjusted based on the updated results during subsequent treatment cycles.

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