Intelligent physiotherapy earphone based on biomagnetism and multi-modal synergistic effect and control system thereof

Abstract

This invention relates to the fields of wearable medical devices and intelligent acoustics, and discloses an intelligent physiotherapy headphone based on biomagnetism and multimodal synergy, and its control system. The headphone includes a body with a multimodal physiotherapy module on its outer side for applying physical intervention to the user; a physiological sensing module on its outer side for real-time collection of the user's physiological data; and a control module connected to the multimodal physiotherapy module and the physiological sensing module, which acquires the physiological data collected by the physiological sensing module. The pulsed magnetic field generated by the biomagnetic generation module penetrates the ear tissue to stimulate nerves and acupoints, inducing the opening of cell ion channels, regulating brainwave rhythms with sound waves, and promoting local microcirculation through phototherapy. The synergy of these three factors creates a "multi-dimensional complementary" intervention effect, thereby improving the therapeutic effect of the headphone.

Description

Technical Field

[0001] This invention relates to the fields of wearable medical devices and intelligent acoustic technology, specifically to intelligent physiotherapy headphones based on biomagnetism and multimodal synergy and their control system. Background Technology

[0002] Physiotherapy, or physical therapy, is a non-drug treatment method that uses physical factors such as sound, light, electricity, heat, and magnetism, or movement and manual manipulation, to act on the human body to prevent and treat diseases and promote rehabilitation. It can relieve pain, improve blood circulation, and restore limb function. It is widely used in orthopedics, rehabilitation, and neurology. In order to facilitate physiotherapy care for patients' heads, a portable physiotherapy headset is needed.

[0003] Portable therapeutic headphones are devices that combine portability, auditory function, and therapeutic effects. They are small and easy to carry, making them suitable for commuting and daily office work. Through specific frequency sound therapy, gentle vibration, or low-frequency electrical stimulation, they act on the ear and surrounding nerves and muscles, helping to relieve fatigue and relax the mind and body, regulate emotions, and provide users with a service that combines auditory experience with convenient physical therapy.

[0004] Currently, the core therapeutic methods of existing therapeutic headphones on the market mainly focus on sound wave vibration or local heat application, without any integration of biomagnetic therapy and phototherapy. This results in the therapeutic effect being limited to superficial tissues and unable to reach the nerves in the head, acupoints in the ear, and deep muscle groups. Sound wave vibration can only achieve superficial relaxation of the ear and surrounding muscles through mechanical wave transmission, with weak intervention effects on deeper issues such as nervous tension and blood circulation disorders. Although heat application can promote local blood circulation, it lacks the ability to regulate nerve excitability and is difficult to improve health problems related to nerve function such as insomnia and migraines. Due to the lack of synergistic effects between magnetic fields, phototherapy, and sound waves, the therapeutic solution cannot form a "multi-dimensional complementary" intervention effect, thereby reducing the therapeutic effect of the headphones and failing to meet the needs of users. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent physiotherapy headphone and its control system based on the synergistic effect of biomagnetism and multimodal interaction, which solves the problem that existing physiotherapy headphones lack the synergistic effect of magnetic field, phototherapy and sound waves, thus reducing their therapeutic effect.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent physiotherapy headphone and its control system based on biomagnetism and multimodal synergy, comprising a body, a multimodal physiotherapy module disposed on the outside of the body for applying physical intervention to the user; a physiological sensing module disposed on the outside of the body for real-time collection of the user's physiological data; and a control module connected to the multimodal physiotherapy module and the physiological sensing module. The control module is used to acquire the physiological data collected by the physiological sensing module and construct a physiological state vector representing the user's current state based on the physiological data; predict the evolution trajectory of the physiological state vector by different multimodal physiotherapy control sequences within a preset future time domain based on a personalized physiological response model and the physiological state vector; determine the optimal physiotherapy control sequence that can guide the evolution trajectory to the target physiological state by solving an optimization problem; and generate driving commands based on the optimal physiotherapy control sequence to control the multimodal physiotherapy modules to work collaboratively.

[0007] Preferably, in the intelligent physiotherapy headphone control system based on the synergistic effect of biomagnetism and multimodal activity, the construction of the physiological state vector includes: extracting the instantaneous value of at least one physiological feature from the physiological data, calculating the first-order time derivative of the physiological feature to characterize its changing trend, and synthesizing the instantaneous value and the first-order time derivative into a multidimensional vector.

[0008] Preferably, the personalized physiological response model is an online learning model configured to continuously and adaptively update its internal model parameters using the prediction error between the physiological state vector predicted by the model and the physiological state vector actually measured by the physiological sensing module, and to update the model parameters through an adaptive gradient descent algorithm. Define loss function The mean squared error of the prediction error:

[0009] Calculate the loss function with respect to the parameters gradient:

[0010] Update parameters based on gradient:

[0011] in It is an adaptive learning rate, a process that ensures that PPRM can continuously track and adapt to long-term changes in the user's physiological response.

[0012] Preferably, the online learning model is a nonlinear autoregressive external input model. The input to this model includes a historical sequence of physiological state vectors and a historical sequence of physical therapy control. The output is a prediction of the physiological state vector at the next moment. The mathematical formula of the model is:

[0013] in: It is the physiological state vector predicted by the model for the next moment. It is a historical sequence of state vectors. At any moment The applied multimodal physical therapy control vector is in the following form:

[0014] Preferably, the optimization problem is also constrained by preset control input constraints and control input change rate constraints. The control input constraints limit the range of the physiotherapy parameters, and the control input change rate constraints limit the smoothness of the change of the physiotherapy parameters.

[0015] Preferably, the control module is configured to follow a rolling time-domain control strategy, executing only the first control instruction in the optimal physiotherapy control sequence in each control cycle, and resolving the optimization problem based on the updated physiological state vector in the next control cycle.

[0016] Preferably, the multimodal synergistic physiotherapy commands include a combination of at least two of the following: magnetic field control commands for regulating the biomagnetic generation module; sound wave control commands for regulating the sound wave physiotherapy module; and light therapy control commands for regulating the LED light therapy module.

[0017] Preferably, the biomagnetic generation module includes a composite structure consisting of a permanent magnet and an electromagnetic coil to generate a pulsed magnetic field with dynamically adjustable frequency and intensity, and the LED phototherapy module integrates an LED array capable of emitting one or more preset therapeutic wavelengths.

[0018] Preferably, the intelligent physiotherapy headphones further include an ear acupoint physiotherapy structure, the structure having embedded a micro-physical stimulation unit; the multimodal collaborative physiotherapy commands also include commands for driving the micro-physical stimulation unit to achieve targeted stimulation of specific acupoints on the ear.

[0019] Preferably, the sound wave therapy module includes a bone conduction sound generation unit and an air conduction sound generation unit; the sound wave control command can realize frequency division driving of the two units, wherein the bone conduction sound generation unit is used to output low-frequency sound waves required for physiotherapy, and the air conduction sound generation unit is used to play auxiliary audio.

[0020] This invention provides an intelligent physiotherapy headphone and its control system based on the synergistic effect of biomagnetism and multimodal activity. It has the following beneficial effects: 1. This invention uses the pulsed magnetic field generated in the biomagnetic generation module to penetrate the ear tissue and stimulate nerves and acupoints, induce the opening of cell ion channels, regulate brain wave rhythm with sound waves, and promote local microcirculation with phototherapy. The synergy of these three factors can create a "multi-dimensional complementary" intervention effect in the physiotherapy program, thereby improving the physiotherapy effect of the headphones and meeting the needs of users.

[0021] 2. This invention constructs a personalized physiological response model that can learn and adaptively update online, and combines it with a model predictive control algorithm for forward-looking optimization. This achieves deep personalization and dynamic adaptation of physiotherapy plans. Compared with existing technologies that rely on fixed and preset physiotherapy modes, this invention can generate multimodal intervention parameter combinations that are precisely matched with the user's current physiological state and individual response characteristics in real time. This transforms physiotherapy strategies from "standardized" to "tailor-made," thereby significantly improving the targeting and effectiveness of the plan.

[0022] 3. This invention introduces a multidimensional physiological state vector containing the trend of physiological characteristic changes, and uses a model predictive control algorithm to predict the future evolution trajectory of the user's state, thereby realizing a shift from "passive response" to "active prediction" intervention mode, effectively avoiding drastic fluctuations in physiological state and improving user experience.

[0023] 4. This invention analyzes users' real-time physiological data based on machine learning models (such as LSTM) and automatically matches modes such as "relaxation", "focus" and "sleep aid". By combining 3D auricular modeling and pressure sensors with the acupoint therapy structure of the ear, the position of magnetic points can be dynamically adjusted to adapt to the different ear anatomy structures of users, thereby improving the adaptability of the headphones. Attached Figure Description

[0024] Figure 1 This is a diagram of the main framework of the present invention; Figure 2 This is a partial architecture diagram of the present invention; Figure 3 This is a diagram of the biomagnetic generation module architecture of the present invention; Figure 4 This is a diagram of the acoustic therapy module architecture of the present invention; Figure 5 This is a schematic diagram of the LED phototherapy module architecture of the present invention. Detailed Implementation

[0025] 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.

[0026] Please see the appendix Figure 1 -Appendix Figure 5 This invention provides an intelligent physiotherapy headset based on biomagnetism and multimodal synergy, and its control system. The headset includes a body with a multimodal physiotherapy module disposed on its outer side for applying physical intervention to the user; a physiological sensing module disposed on the outer side of the body for real-time collection of the user's physiological data; and a control module connected to the multimodal physiotherapy module and the physiological sensing module. The control module acquires the physiological data collected by the physiological sensing module and constructs a physiological state vector representing the user's current state based on the physiological data. Based on a personalized physiological response model and the physiological state vector, it predicts the evolution trajectory of the physiological state vector under different multimodal physiotherapy control sequences within a preset future time domain. By solving an optimization problem, it determines the optimal physiotherapy control sequence that can guide the evolution trajectory to a target physiological state. Based on the optimal physiotherapy control sequence, it generates driving commands to control the multimodal physiotherapy modules to work collaboratively.

[0027] Specifically, the built-in biomagnetic generator module in the headphones produces pulsed magnetic fields with specific frequencies and intensities. These pulsed magnetic fields can penetrate ear tissues and directly act on the nerves and acupoints around the ear, thereby stimulating these nerves and acupoints. This stimulation can promote the opening of cellular ion channels, facilitating the exchange of substances between the inside and outside of cells, which is beneficial for cell metabolism and function. Simultaneously, the headphones can regulate brainwave rhythms through sound waves, putting the brain in a more relaxed and comfortable state, helping to relieve stress and fatigue, and improving work and study efficiency. Furthermore, the headphones can promote local microcirculation through phototherapy, improving blood circulation around the ear, which helps improve the nutrient supply to ear tissues and the excretion of metabolic waste products, thus improving the health of ear tissues. These three intervention methods work synergistically to create a "multi-dimensional complementary" intervention effect, significantly enhancing the therapeutic effect of the headphones.

[0028] The control system for intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal dynamics includes the construction of the physiological state vector, which involves: extracting the instantaneous value of at least one physiological feature from the physiological data, calculating the first-order time derivative of the physiological feature to characterize its changing trend, and synthesizing the instantaneous value and the first-order time derivative into a multidimensional vector. The optimization problem is also constrained by preset control input constraints and control input rate of change constraints. The control input constraints limit the range of physiotherapy parameters, and the control input rate of change constraints limit the smoothness of the changes in physiotherapy parameters. The control module is configured to follow a rolling time-domain control strategy, executing only the first control instruction in the optimal physiotherapy control sequence in each control cycle, and resolving the optimization problem based on the updated physiological state vector in the next control cycle.

[0029] The personalized physiological response model is an online learning model configured to continuously and adaptively update its internal model parameters using the prediction error between the physiological state vector predicted by the model and the physiological state vector actually measured by the physiological sensing module. It is not static, but continuously optimized through an online learning mechanism, so that the system obtains the true physiological state at the end of each control cycle. Utilizing prediction error Update model parameters using adaptive gradient descent algorithm: Define loss function The mean squared error of the prediction error:

[0030] Calculate the loss function with respect to the parameters gradient:

[0031] Update parameters based on gradient:

[0032] in The adaptive learning rate ensures that the PPRM can continuously track and adapt to long-term changes in the user's physiological response. The online learning model is a nonlinear autoregressive external input model. Its inputs include historical physiological state vector sequences and historical physiotherapy control sequences, and its output is a prediction of the physiological state vector at the next moment. The mathematical formula for the model is:

[0033] in: It is the physiological state vector predicted by the model for the next moment. It is a historical sequence of state vectors. At any moment The applied multimodal physical therapy control vector is in the following form:

[0034] Specifically, each component of this vector corresponds to adjustable parameters (such as frequency, intensity, duty cycle, waveform, etc.) of modules such as biomagnetism, phototherapy, and sound waves. These represent the internal parameters (weights and biases) of the neural network model. This model runs continuously in the background using online learning algorithms (such as extended Kalman filtering or adaptive gradient descent), utilizing actual measurements. The parameters are continuously fine-tuned based on the error between the model's predicted values ​​and the actual values. This allows the model to increasingly accurately reflect the unique response patterns of a particular user to different therapeutic stimuli.

[0035] The multimodal synergistic physiotherapy commands include combinations of at least two of the following: magnetic field control commands for regulating the biomagnetic generation module; sound wave control commands for regulating the sound wave physiotherapy module; and light therapy control commands for regulating the LED light therapy module. The biomagnetic generation module comprises a composite structure consisting of a permanent magnet and an electromagnetic coil to generate a pulsed magnetic field with dynamically adjustable frequency and intensity. The LED light therapy module integrates an LED array capable of emitting one or more preset treatment wavelengths. The sound wave physiotherapy module includes a bone conduction sound generation unit and an air conduction sound generation unit. The sound wave control commands enable frequency division driving of the two units, wherein the bone conduction sound generation unit is used to output low-frequency sound waves required for physiotherapy, and the air conduction sound generation unit is used to play auxiliary audio. Specifically, the biomagnetic generation module adopts a composite structure of neodymium iron boron permanent magnets and electromagnetic coils, with an adjustable magnetic field strength range of 0.1-5mT. The earcups are embedded with a ring magnet array, generating a low-frequency pulsed magnetic field of 0.5-50Hz, which penetrates the ear tissue to stimulate nerves and acupoints. The sound wave therapy module supports 20Hz-20kHz sound wave output, has a built-in natural sound library (wind sound / rain sound / ocean wave sound), and allows for customization of sound wave frequency and amplitude. The inner side of the earcups is equipped with 650nm red light and 850nm near-infrared LEDs, which promote cell repair through photobiological modulation (PBM).

[0036] The intelligent physiotherapy headphones also include an ear acupoint physiotherapy structure, which has a miniature physical stimulation unit embedded in it; the multimodal collaborative physiotherapy commands also include commands for driving the miniature physical stimulation unit to achieve targeted stimulation of specific acupoints on the ear; Specifically, the ear caps are made of biomimetic silicone material, with embedded micro-magnetic points and raised structures that precisely correspond to acupoints such as "Shenmen" and "Jiaogan" on the auricle. When using the earphones, users will massage these acupoints, thereby improving the therapeutic effect of the earphones.

[0037] In summary, this invention provides an intelligent physiotherapy headphone and its control system based on the synergistic effect of biomagnetism and multimodal therapy. The pulsed magnetic field generated in the biomagnetic generation module penetrates the ear tissue to stimulate nerves and acupoints, inducing the opening of cell ion channels, regulating brain wave rhythm with sound waves, and promoting local microcirculation with phototherapy. The synergy of these three factors can create a "multi-dimensional complementary" intervention effect in the physiotherapy program, thereby improving the therapeutic effect of the headphone. Furthermore, by combining the ear acupoint physiotherapy structure with 3D auricle modeling and pressure sensors, the position of the magnetic points can be dynamically adjusted to adapt to the different ear anatomy structures of different users, thereby improving the adaptability of the headphone.

[0038] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart physiotherapy headphone based on the synergistic effect of biomagnetism and multimodal activity, comprising a body, characterized in that, The outer side of the body is equipped with a multimodal physiotherapy module for applying physical intervention to the user; the outer side of the body is equipped with a physiological sensing module for collecting the user's physiological data in real time; and a control module is connected to the multimodal physiotherapy module and the physiological sensing module. The control module is used to acquire the physiological data collected by the physiological sensing module and construct a physiological state vector representing the user's current state based on the physiological data. Based on the personalized physiological response model and the physiological state vector, the evolution trajectory of the physiological state vector by different multimodal physiotherapy control sequences is predicted within a preset future time domain. By solving an optimization problem, the optimal physiotherapy control sequence that can guide the evolutionary trajectory to the target physiological state is determined; and based on the optimal physiotherapy control sequence, driving instructions are generated to control the multimodal physiotherapy modules to work together.

2. A control system for intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal modulation, characterized in that: According to the intelligent physiotherapy headphones based on biomagnetism and multimodal synergy as described in claim 1, the construction of the physiological state vector includes: extracting the instantaneous value of at least one physiological feature from the physiological data, calculating the first-order time derivative of the physiological feature to characterize its changing trend, and synthesizing the instantaneous value and the first-order time derivative into a multidimensional vector.

3. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The personalized physiological response model is an online learning model configured to continuously and adaptively update its internal model parameters using the prediction error between the physiological state vector predicted by the model and the physiological state vector actually measured by the physiological sensing module. The model parameters are updated using an adaptive gradient descent algorithm. Define loss function The mean squared error of the prediction error: Calculate the loss function with respect to the parameters gradient: Update parameters based on gradient: in It is an adaptive learning rate, a process that ensures that PPRM can continuously track and adapt to long-term changes in the user's physiological response.

4. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The online learning model is a nonlinear autoregressive external input model. Its input includes a historical sequence of physiological state vectors and a historical sequence of physical therapy control. The output is a prediction of the physiological state vector at the next time step. The mathematical formula for the model is: in: It is the physiological state vector predicted by the model for the next moment. It is a historical sequence of state vectors. At any moment The applied multimodal physical therapy control vector is in the following form: 。 5. The control system for intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The optimization problem is also constrained by preset control input constraints and control input change rate constraints. The control input constraints limit the range of the physiotherapy parameters, and the control input change rate constraints limit the smoothness of the changes in the physiotherapy parameters.

6. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The control module is configured to follow a rolling time-domain control strategy, executing only the first control instruction in the optimal physiotherapy control sequence in each control cycle, and resolving the optimization problem based on the updated physiological state vector in the next control cycle.

7. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The multimodal synergistic physiotherapy commands include combinations of at least two of the following: magnetic field control commands for regulating the biomagnetic generation module; sound wave control commands for regulating the sound wave physiotherapy module; and light therapy control commands for regulating the LED light therapy module.

8. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 7, characterized in that, The biomagnetic generation module includes a composite structure consisting of a permanent magnet and an electromagnetic coil, used to generate a pulsed magnetic field with dynamically adjustable frequency and intensity. The LED phototherapy module integrates an LED array capable of emitting one or more preset therapeutic wavelengths.

9. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 2, characterized in that, The intelligent physiotherapy headphones also include an ear acupoint physiotherapy structure, which has a miniature physical stimulation unit embedded in it; the multimodal collaborative physiotherapy commands also include commands for driving the miniature physical stimulation unit to achieve targeted stimulation of specific acupoints on the ear.

10. The control system for the intelligent physiotherapy headphones based on the synergistic effect of biomagnetism and multimodal activity according to claim 7, characterized in that, The sound wave therapy module includes a bone conduction sound generation unit and an air conduction sound generation unit; the sound wave control command can realize frequency division driving of the two units, wherein the bone conduction sound generation unit is used to output low-frequency sound waves required for physiotherapy, and the air conduction sound generation unit is used to play auxiliary audio.

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