Wireless electrode for detecting electrophysiological signals and light treatment system

Abstract

The invention relates to the technical field of physical therapy, in particular to a wireless electrode for detecting electrophysiological signals, which comprises a wireless electrode structure for detecting the electrophysiological signals, and the wireless electrode structure comprises a spectrum acquisition module, a heat conduction monitoring module, a signal processing module, a communication module and a power management module; a light treatment system based on electrophysiological signals comprises a light treatment system structure, the light treatment system structure comprises a treatment output module, a self-healing execution module and a user interaction module, and a cross-modal data closed loop is formed through real-time feedback of an optical scattering coefficient and a thermal conductivity change rate; the dynamic adaptation of the phototherapy power and the electrode repair instruction is realized through the self-adaptive PID control sub-module; through the low-power-consumption microcontroller and the energy recovery circuit, static signal detection and dynamic treatment optimization are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of physiotherapy, in particular to a wireless electrode for detecting electrophysiological signals and a light treatment system. BACKGROUND

[0002] Under the background of rapid development of bioelectronics and medical imaging technology, the integration of non-contact electrophysiological signal detection and light treatment system is increasingly prominent. In the prior art, wireless electrodes, as key sensing modules, are widely used in medical monitoring and treatment scenarios in complex electromagnetic environments. However, with higher requirements for signal accuracy and system robustness, traditional solutions face significant challenges in dynamic environment adaptability, multi-modal data collaboration, and long-term stability. In addition, the control logic of the light therapy system often relies on a single parameter, making it difficult to achieve precise matching with the electrode state, resulting in fluctuations in treatment effectiveness and limited device lifespan. Therefore, improving multi-parameter fusion capability and establishing a dynamic closed-loop control mechanism have become an important direction for current technology development.

[0003] In the prior art, the signal acquisition of traditional wireless electrodes is easily disturbed in complex electromagnetic environments, resulting in a decrease in the positioning accuracy of electrophysiological signals, which in turn affects the reliability of treatment decisions.

[0004] Existing light therapy modules often lack dynamic adaptation capability to the electrode aging state, and cannot adjust treatment parameters according to environmental changes, resulting in increased energy consumption and shortened device lifespan.

[0005] Single modal data (such as spectral or thermal parameters) cannot simultaneously reflect changes in tissue metabolic demand and electrode performance, resulting in a failure to collaboratively optimize treatment effectiveness and device state.

[0006] The above information disclosed in the above background section is only used to strengthen the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0007] The present application aims to provide a wireless electrode for detecting electrophysiological signals and a light treatment system to solve the problems raised in the above background.

[0008] To achieve the above-mentioned purpose, the present application provides the following technical solutions: A wireless electrode for detecting electrophysiological signals, comprising a wireless electrode structure for detecting electrophysiological signals, the wireless electrode structure comprising a spectral acquisition module, a thermal conduction monitoring module, a signal processing module, a communication module, and a power management module; The spectral acquisition module is used to measure the photon energy absorption spectral peak shift of the skin tissue And the optical scattering coefficient of the skin tissue ; The heat conduction monitoring module is used for measuring the temperature variation of the wireless electrode contact surface and for measuring the heat flow density of the contact surface ; The signal processing module adopts a digital signal processor to filter and normalize the spectral peak shift , the optical scattering coefficient , the temperature variation , and the heat flow density , to ensure data consistency The communication module transmits the processed parameters to the linkage control unit through wireless radio frequency The power management module is used to ensure stable operation of the system in a complex electromagnetic environment, and the power management module includes a low-power microcontroller and an energy recovery circuit

[0009] Further, the spectral acquisition module includes a miniature photodetector and a near-infrared scattering sensor, and the sampling frequency of the photodetector is the same as that of the near-infrared scattering sensor The optical scattering coefficient is obtained by calculating the ratio of the scattered light intensity to the incident light intensity of the skin tissue and multiplying the reciprocal of the wavelength

[0010] Further, the heat conduction monitoring module includes an embedded thermocouple and a temperature gradient sensor, and the sampling frequency of the thermocouple is the same as that of the temperature gradient sensor The heat conduction monitoring module calculates the heat conductivity variation rate by joint measurement of the embedded thermocouple and the temperature gradient sensor

[0011] Further, the linkage control unit includes a core decision module for realizing heat-optical coupling feedback dynamic compensation The core decision module includes a multi-parameter fusion sub-module, a distributed time reference sub-module, and an adaptive PID control sub-module The multi-parameter fusion sub-module is used to calculate the joint contribution of the spectral peak shift , the optical scattering coefficient , the heat conductivity variation rate , and the photon-thermal energy conversion efficiency coefficient , and to generate a treatment-self-healing coupling strength .

[0012] Further, the distributed time reference sub-module calibrates the time stamps of the spectral peak shift and the heat conductivity variation rate by crystal oscillator clock and GPS time stamp

[0013] Further, the adaptive PID control sub-module adjusts the light therapy power through the spectral peak position offset and the dynamic feedback of the thermal conductivity change rate . and the electrode repair instruction .

[0014] Further, the wavelength range of the micro photodetector is 600-1200nm, and a filter for eliminating environmental light interference is embedded in the micro photodetector; the measurement range of the near-infrared scattering sensor is 0-100μm, and the spectral peak position offset and the optical scattering coefficient are mapped to the same time axis through a time alignment algorithm.

[0015] Further, the measurement accuracy of the embedded thermocouple is ±0.1K, the resolution of the temperature gradient sensor is not less than 10μm, and the sampling frequency is 10Hz; the thermal conductivity change rate is calculated through the temperature change , the heat flow density and the sampling interval time .

[0016] A light therapy system based on electrophysiological signals, comprising a light therapy system structure, wherein the light therapy system structure comprises a treatment output module, a self-healing execution module and a user interaction module; The wireless electrode structure is used for collecting various parameter data, the linkage control unit is used for analyzing, calculating and processing the collected various parameter data, and the light therapy system structure is used for driving to realize light therapy according to the processing result of the linkage control unit.

[0017] Further, the treatment output module comprises a laser emitter and a light energy adjusting circuit, and the output energy is adjusted according to the light therapy power . The self-healing execution module comprises a nanoparticle deposition device, and the electrode material is locally repaired according to the electrode repair instruction . The user interaction module displays the real-time state through a touch screen or a state indicating lamp display system, including a treatment mode, a self-healing state and a fault switching prompt.

[0018] Compared with the prior art, the beneficial effects of the present application are: The application enhances the stability of the wireless electrode in the complex electromagnetic environment through the multi-modal data acquisition and dynamic synchronization mechanism; the joint design of the spectrum acquisition module and the heat conduction monitoring module is adopted, the real-time feedback of the optical scattering coefficient and the heat conductivity change rate is formed, and the cross-modal data closed loop is formed; at the same time, the distributed time reference module accurately calibrates the time stamp of the optical scattering coefficient and the heat conductivity change rate, ensures the data on the time axis, and improves the reliability of the overall signal acquisition; The application realizes the dynamic adaptation of the light therapy power and the electrode repair instruction through the adaptive PID control sub-module, prolongs the service life of the wireless electrode structure, realizes the dynamic adjustment of the light therapy parameters based on the metabolic demand analysis of the spectral peak position offset and the optical scattering coefficient, avoids excessive energy consumption, and realizes the dual optimization of the device performance and the treatment effect; The application converts the optical metabolic demand and the heat conduction state into a unified treatment-self-healing coupling strength through the heat-optical coupling feedback dynamic compensation technology, so that the treatment decision can consider the tissue metabolic dynamics and the electrode state change at the same time, avoids the misjudgment and energy waste caused by single parameter, realizes the dynamic treatment optimization from the static signal detection through the low-power microcontroller and the energy recovery circuit, and provides a new solution for precise medical treatment and long service life operation of the equipment. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 It is a schematic diagram of the system structure of the application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical scheme and advantages of the application clearer and more apparent, the application will be further described in detail below with specific examples.

[0021] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the application should be understood as the usual meaning understood by those skilled in the art to which the application belongs. The "first", "second" and similar words used in the application do not represent any order, quantity or importance, but are only used to distinguish different components. "Include" or "contain" and similar words mean that the elements or objects before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connected" or "connected" and similar words are not limited to physical or mechanical connection, but can include electrical connection, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to represent the relative positional relationship, when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0022] Example one: Please refer to Figure 1 , the application provides a technical scheme: a wireless electrode for detecting electrophysiological signals, comprising a wireless electrode structure for detecting electrophysiological signals, the wireless electrode structure comprises a spectrum acquisition module, a heat conduction monitoring module, a signal processing module, a communication module and a power management module; The spectrum acquisition module is used for measuring the photon energy absorption spectrum peak position shift of skin tissue And for measuring the optical scattering coefficient of skin tissue ; The heat conduction monitoring module is used for measuring the temperature change of the contact surface of the wireless electrode And for measuring the heat flux density of the contact surface ; The signal processing module uses a digital signal processor to filter and normalize the spectrum peak position shift , the optical scattering coefficient , the temperature change , the heat flux density , to ensure data consistency The communication module transmits the processed parameters to the linkage control unit through wireless radio frequency The power management module is used to ensure the stable operation of the system in complex electromagnetic environment, and the power management module comprises a low-power microcontroller and an energy recovery circuit.

[0023] In this embodiment, preferably, the spectrum acquisition module comprises a miniature photodetector and a near-infrared scattering sensor, and the sampling frequency of the photodetector is the same as that of the near-infrared scattering sensor The optical scattering coefficient is obtained by calculating the ratio of the scattering light intensity of the skin tissue to the incident light intensity and multiplying the reciprocal of the wavelength It should be noted that the miniature photodetector and the near-infrared scattering sensor are used to collect data of human skin tissue, and the miniature photodetector and the near-infrared scattering sensor are collected at the same frequency, which facilitates to ensure the synchronization accuracy of data.

[0024] In this embodiment, preferably, the heat conduction monitoring module comprises an embedded thermocouple and a temperature gradient sensor, and the sampling frequency of the thermocouple is the same as that of the temperature gradient sensor The heat conduction monitoring module calculates the heat conduction rate change by joint measurement of the embedded thermocouple and the temperature gradient sensor , wherein represents the temperature change thermal flux density, sampling time, thermal conductivity change rate; It should be noted that the amount of temperature change and the thermal flux density of the contact surface , and keep the same frequency acquisition, which can ensure the synchronization accuracy of the data, and according to the amount of temperature change and the thermal flux density of the contact surface thermal conductivity change rate , for subsequent calculation and analysis of purification processing; and the spectral peak shift , optical scattering coefficient , temperature change , thermal flux density , thermal conductivity change rate , normalization processing is carried out to eliminate the difference between different dimension parameters, ensure the comparability and synergy of data in subsequent fusion modeling, facilitate subsequent fusion calculation processing, avoid model deviation caused by dimensional difference; ensure the synchronization of cross-modal data in time and dimension.

[0025] In this embodiment, preferably, the linkage control unit comprises a core decision module for realizing thermal-optical coupling feedback dynamic compensation; The core decision module comprises a multi-parameter fusion sub-module, a distributed time reference sub-module, and an adaptive PID control sub-module. The multi-parameter fusion sub-module is used to calculate the joint contribution of the spectral peak shift , optical scattering coefficient , thermal conductivity change rate , and generate treatment-self-healing coupling strength ; ; wherein, is the optical metabolic demand weight coefficient, is the thermal response weight coefficient, is the treatment-self-healing coupling strength, dimensionless value, is the photon thermal energy conversion efficiency coefficient; It should be noted that through the collaborative design of multi-parameter fusion, time synchronization and adaptive control, from static signal acquisition to dynamic treatment optimization is realized, not only in the improvement of system robustness and data consistency, but also in the significant optimization of treatment efficiency and equipment life through cross-modal collaborative control. Form a synergistic gain effect that cannot be covered by a single technical solution, and can generate the strength of the treatment according to multiple parameters, facilitating the precise control of light therapy.

[0026] In this embodiment, preferably, the distributed time reference submodule calibrates the spectral peak position offset amount through the crystal oscillator clock and the GPS timestamp and the thermal conductivity change rate timestamp; It should be noted that the data is kept in line by the crystal oscillator clock and the GPS timestamp, so that the spectral peak position offset amount and the thermal conductivity change rate The time alignment error is controlled within ±50μs, which meets the accuracy requirements of multi-parameter fusion and prevents errors in multi-parameter fusion.

[0027] In this embodiment, preferably, the adaptive PID control submodule adjusts the light therapy power and the electrode repair instruction through the dynamic feedback of the spectral peak position offset amount and the thermal conductivity change rate . . wherein, is the original light therapy input power, is the thermal conductivity correction coefficient; . wherein, is the metabolic demand repair coefficient, is the thermal response repair coefficient; It should be noted that the PID control submodule adjusts the light therapy power and the electrode repair instruction , which facilitates subsequent driving of the light therapy system structure, so that the light therapy system structure can be controlled and adjusted.

[0028] In this embodiment, preferably, the wavelength range of the micro photoelectric detector is 600-1200nm, and the micro photoelectric detector is embedded with a filter for eliminating ambient light interference; the measurement range of the near-infrared scattering sensor is 0-100μm, and the spectral peak position offset amount and the optical scattering coefficient are mapped to the same time axis through the time sequence alignment algorithm; It should be noted that by setting the wavelength range, precise detection is facilitated, data collection is achieved, and the collected data is filtered through the filter, which can improve the accuracy of the data information, and the time sequence alignment algorithm can improve the flatness of the data on the same time axis, facilitating subsequent calculation and analysis.

[0029] In this embodiment, preferably, the measurement accuracy of the embedded thermocouple is ±0.1K, the resolution of the temperature gradient sensor is not less than 10μm, the sampling frequency is 10Hz; the thermal conductivity change rate is calculated by the temperature change amount , the heat flux density and the sampling interval time . It should be noted that through the cooperative measurement of high-precision thermocouples (±0.1K) and high-resolution temperature gradient sensors (10μm), combined with 10Hz sampling frequency and dynamic calculation method of thermal conductivity change rate , the accurate quantification of the thermal conductivity change rate is realized; reliable data support is provided for the dynamic linkage of treatment and repair. The stability in complex electromagnetic environment, the real-time adjustment ability of treatment parameters and the predictability of equipment life are significantly improved.

[0030] Embodiment two: Please refer to Figure 1 , a light treatment system based on electrophysiological signals, including a light treatment system structure, the light treatment system structure includes a treatment output module, a self-healing execution module and a user interaction module; The wireless electrode structure is used to collect various parameter data, the linkage control unit is used to analyze, calculate and process the collected various parameter data, and the light treatment system structure is used to drive the light treatment according to the processing result of the linkage control unit.

[0031] In this embodiment, preferably, the treatment output module includes a laser emitter and a light energy adjusting circuit, and the output energy is adjusted according to the light therapy power . The self-healing execution module includes a nanoparticle deposition device, and the electrode material is locally repaired according to the electrode repair instruction . The user interaction module displays the real-time state of the system through a touch screen or a state indicating lamp, including treatment mode, self-healing state and fault switching prompt. It should be noted that the light therapy power and the electrode repair instruction data realize the driving control and adjustment of the light treatment system structure, realize the technical breakthrough from static signal collection to dynamic treatment optimization, realize the cross-modal collaborative control through the linkage control unit, significantly optimize the treatment efficiency and equipment life, and form the synergistic gain effect that cannot be covered by a single technical solution.

[0032] The specific operation process of the present application is as follows: During use, the spectral peak shift of photon energy absorption is acquired through the spectral acquisition module in the wireless electrode structure. Optical scattering coefficient of skin tissue ; and the heat conduction monitoring module collects temperature changes. and heat flux density Furthermore, the collected data undergoes preprocessing via a signal processing module to normalize it, eliminating differences between parameters of different dimensions. This ensures the comparability and synergy of the data in subsequent fusion modeling, facilitating subsequent fusion calculations. The processed data is then transmitted to the linkage control unit via a communication module. The linkage control unit analyzes and processes the data, and the treatment-self-healing coupling strength is generated through a multi-parameter fusion submodule. And the phototherapy power is adjusted through the adaptive PID control submodule. Electrode repair instructions This allows the phototherapy system structure to adjust the output energy through the treatment output module, and the self-healing execution module to repair according to electrode repair commands. Local repair of the electrode material; By employing multi-parameter collaborative sensing and dynamic closed-loop control, the system overcomes three major technical bottlenecks in traditional wireless electrodes and phototherapy systems under complex environments: signal drift, equipment aging, and insufficient treatment efficiency. It transforms optical metabolic requirements and thermal conduction status into a unified decision-making basis, achieving a technological leap from independent parameter optimization to synergistic gain effects. Ultimately, it significantly improves the system in terms of signal stability, equipment lifespan, and treatment precision.

[0033] It should be noted that all calculation formulas in this application employ regression analysis, including but not limited to machine learning algorithms, to deeply analyze the collected parameters and identify their natural trends and interrelationships. Specialized software, such as Python's Scikit-learn library or the R language, is used to automatically generate mathematical models that match the data. Then, cross-validation and other methods are used to objectively evaluate the model performance, and continuous feedback and optimization are combined to ensure that the created formulas truly reflect the inherent laws of the data, thereby guaranteeing their effectiveness and accuracy. In all calculation formulas in this application, the parameters in each formula undergo dimensionless processing within a consistent range to ensure that different physical quantities are compared on the same scale; dimensionless processing techniques include, but are not limited to, Min-Max Normalization and Z-Score standardization. The technical solutions of the present application can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a floppy disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a FLASH, a hard disk, or an optical disc, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present application.

[0034] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, and can be specifically embodied in any computer readable medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a system including a processor or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with such an instruction execution system, apparatus or device. For the purpose of this specification, a "computer readable medium" can be any device that can contain, store, communicate, propagate or transport a program for use by or in connection with an instruction execution system, apparatus or device, or in conjunction with such an instruction execution system, apparatus or device.

[0035] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application but not limit the present application, and although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

[0036] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application but not limit the present application, and although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A wireless electrode for detecting electrophysiological signals, characterized in that, The invention includes a wireless electrode structure for detecting electrophysiological signals, wherein the wireless electrode structure includes a spectral acquisition module, a thermal conduction monitoring module, a signal processing module, a communication module, and a power management module; The spectral acquisition module is used to measure the peak shift of the photon energy absorption spectrum of skin tissue. and the optical scattering coefficient used to measure skin tissue ; The heat conduction monitoring module is used to measure the temperature change of the radio electrode contact surface. and the heat flux density used to measure the contact surface ; The signal processing module uses a digital signal processor to process the spectral peak shift. Optical scattering coefficient Temperature change Heat flux density Perform filtering and normalization to ensure data consistency; The communication module transmits the processed parameters to the linkage control unit via radio frequency. The power management module is used to ensure the stable operation of the system in complex electromagnetic environments. The power management module includes a low-power microcontroller and an energy recovery circuit.

2. A wireless electrode for detecting electrophysiological signals according to claim 1, characterized in that: The spectral acquisition module includes a miniature photodetector and a near-infrared scattering sensor, and the sampling frequency of the photodetector and the sampling frequency of the near-infrared scattering sensor are the same. The optical scattering coefficient It is obtained by calculating the ratio of the intensity of scattered light in the skin tissue to the intensity of incident light, and then multiplying it by the reciprocal of the wavelength.

3. A wireless electrode for detecting electrophysiological signals according to claim 1, characterized in that: The heat conduction monitoring module includes an embedded thermocouple and a temperature gradient sensor, and the sampling frequency of the thermocouple and the sampling frequency of the temperature gradient sensor are the same. The thermal conductivity monitoring module calculates the rate of change of thermal conductivity through joint measurement by the embedded thermocouple and the temperature gradient sensor. .

4. A wireless electrode for detecting electrophysiological signals according to claim 1, characterized in that: The linkage control unit includes a core decision-making module for realizing dynamic compensation of thermal-optical coupling feedback. The core decision-making module includes a multi-parameter fusion submodule, a distributed time base submodule, and an adaptive PID control submodule. The multi-parameter fusion submodule is used to calculate the spectral peak position shift. Optical scattering coefficient Rate of change of thermal conductivity and photon thermal energy conversion efficiency coefficient The combined contribution and the generation of treatment-self-healing coupling strength. .

5. A wireless electrode for detecting electrophysiological signals according to claim 4, characterized in that: The distributed time reference submodule calibrates the spectral peak offset using a crystal oscillator clock and a GPS timestamp. With the rate of change of thermal conductivity Timestamp.

6. A wireless electrode for detecting electrophysiological signals according to claim 4, characterized in that: The adaptive PID control submodule uses the spectral peak offset. With the rate of change of thermal conductivity Dynamic feedback adjusts phototherapy power Electrode repair instructions .

7. A wireless electrode for detecting electrophysiological signals according to claim 2, characterized in that: The miniature photodetector has a wavelength range of 600-1200 nm and incorporates a filter to eliminate ambient light interference. The near-infrared scattering sensor has a measurement range of 0-100 μm and uses a time-alignment algorithm to shift the spectral peak position. and optical scattering coefficient Mapped to the same timeline.

8. A wireless electrode for detecting electrophysiological signals according to claim 3, characterized in that: The embedded thermocouple has a measurement accuracy of ±0.1K, the temperature gradient sensor has a resolution of no less than 10μm, and a sampling frequency of 10Hz; the thermal conductivity change rate... Through temperature change Heat flux density and sampling interval time Perform the calculation.

9. A phototherapy system based on electrophysiological signals, characterized in that: The system is used to perform phototherapy based on the system detection data as described in any one of claims 1-8, and includes a phototherapy system structure, wherein the phototherapy system structure includes a treatment output module, a self-healing execution module and a user interaction module; The wireless electrode structure is used to collect various parameter data, the linkage control unit is used to analyze and calculate the collected parameter data, and the phototherapy system structure is used to drive the phototherapy based on the processing results of the linkage control unit.

10. A phototherapy system based on electrophysiological signals according to claim 9, characterized in that: The treatment output module includes a laser emitter and a light energy adjustment circuit, which adjusts the light therapy power accordingly. Adjust the output energy; The self-healing execution module includes a nanoparticle deposition device, which executes electrode repair commands. Local repair of the electrode material; The user interaction module displays the system's real-time status via a touchscreen or status indicator light, including treatment mode, self-healing status, and fault switching prompts.

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