Closed-loop nerve regulation and control intelligent head band system for electroencephalogram signals

Abstract

The invention discloses an electroencephalogram signal closed-loop nerve regulation intelligent head band system, which comprises a signal sensing acquisition module, an intelligent decision-making module and a multi-mode stimulation execution module, and is characterized in that the output end of the signal sensing acquisition module is provided with an acquisition part, and the intelligent decision-making module is provided with a first input end, a second input end and a third input end; the first input end is electrically connected with the output end of the signal sensing and collecting module, the input end of the multi-modal stimulation execution module is electrically connected with the output end of the intelligent decision module, the output end of the multi-modal stimulation execution module is provided with an adjusting part, and the output end of the adjusting part is provided with a feedback part. Through combined application of the signal sensing and collecting module, the intelligent decision-making module, the multi-mode stimulation execution module, the adjusting part and the feedback part, closed-loop architecture design of sensing a decision, then stimulating and finally feeding back is realized; therefore, the problem that an existing head-mounted device lacks multi-mode, self-adaption and closed-loop nerve regulation and control capabilities of real-time electroencephalogram analysis is solved.

Description

Technical Field

[0001] This invention relates to the field of smart headbands, and in particular to a smart headband system for closed-loop neural modulation of electroencephalogram (EEG) signals. Background Technology

[0002] Neuromodulation technology, as an important means of regulating brain electrical activity and improving cognitive and emotional states, has been widely used in fields such as healthcare and consumer electronics. Wearable head-mounted devices, with their portability and non-invasiveness, have become the mainstream carrier for achieving daily neuromodulation. However, existing head-mounted devices can only collect and display brain electrical signals, and cannot dynamically generate adaptive stimulation strategies based on the user's brain electrical state (such as anxiety, focus, sleep). They lack a closed-loop architecture, resulting in a lack of targeted and adaptive optimization capabilities in the modulation process. Therefore, to solve the above technical problems, a closed-loop neuromodulation smart headband system based on brain electrical signals is proposed. Summary of the Invention

[0003] The purpose of this invention is to provide a closed-loop neuromodulation intelligent headband system for electroencephalogram (EEG) signals to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a closed-loop neuromodulation intelligent headband system for EEG signals, applied to a headband, comprising: The acquisition unit is used to acquire the user's electroencephalogram (EEG) signals and auxiliary physiological signals. The output end of the acquisition unit is equipped with a signal sensing and acquisition module, which is used to sense, amplify and preprocess the acquired EEG signals, body temperature signals and photoplethysmography (PPG) signals. The intelligent decision-making module is used to receive user operation instructions and preprocessed physiological signals, identify the user's electroencephalographic state through an LSTM machine learning model, and generate multimodal neuromodulation stimulation control instructions. The intelligent decision-making module is equipped with a first input terminal, a second input terminal and a third input terminal, and the first input terminal is electrically connected to the output terminal of the signal sensing and acquisition module. A multimodal stimulation execution module is provided, wherein the input end of the multimodal stimulation execution module is electrically connected to the output end of the intelligent decision module, the multimodal stimulation execution module is used to perform microcurrent stimulation, micro-light stimulation and sound wave stimulation, the output end of the multimodal stimulation execution module is provided with a regulating part for regulating the stimulation, and the output end of the regulating part is provided with a feedback part for forming closed-loop neural regulation.

[0005] Preferably, the acquisition unit includes a physiological signal module, the output end of which is electrically connected to the input end of the signal sensing and acquisition module, and the physiological signal module is used to acquire the user's electroencephalogram (EEG) signal, body temperature signal, and photoplethysmography (PPG) signal.

[0006] Preferably, the physiological signal module is a sensor array integrated into the forehead area of ​​the headband. The sensor array is used to send acquired data to the signal sensing and acquisition module. The sensor array includes multiple EEG dry and wet electrodes, MEMS temperature sensors, and PPG sensors.

[0007] Preferably, the signal sensing and acquisition module includes: An EEG acquisition circuit, wherein the input terminal of the EEG acquisition circuit is electrically connected to the output terminal of the EEG dry and wet electrodes, and the EEG acquisition circuit is used to amplify and filter the EEG signal; A temperature signal conditioning circuit, wherein the input terminal of the temperature signal conditioning circuit is electrically connected to the output terminal of the MEMS temperature sensor; The PPG signal acquisition circuit has its output terminal electrically connected to the input terminal of the PPG sensor.

[0008] Preferably, the adjustment unit includes: A coordinating neuromodulation module, wherein the input end of the coordinating neuromodulation module is electrically connected to the multimodal stimulus execution module, and the coordinating neuromodulation module is used to coordinately regulate the timing, intensity and frequency of different stimulus modalities; The physiological state alteration module has its input terminal electrically connected to the output terminal of the coordinating neuromodulation module. The physiological state alteration module is used to apply the coordinatingly modulated multimodal stimulation to the user to regulate the user's electroencephalographic state.

[0009] Preferably, the feedback unit includes a safety monitoring and closed-loop optimization module. The input terminal of the safety monitoring and closed-loop optimization module is electrically connected to the output terminal of the physiological state change module, and the output terminal of the safety monitoring and closed-loop optimization module is electrically connected to the second input terminal of the intelligent decision module. The safety monitoring and closed-loop optimization module is used to monitor the system's operational safety and changes in the user's EEG physiological state in real time, evaluate the neuromodulation effect, and feed back the optimization parameters to the intelligent decision module to form a closed-loop neuromodulation of EEG signals.

[0010] Preferably, the third input terminal of the intelligent decision-making module is electrically connected to a user interaction interface module, which is used to intervene in the decision-making of the intelligent decision-making module.

[0011] Preferably, the multimodal stimulation execution module includes a microcurrent stimulation electrode, a forehead LED light strip, and a bone conduction earphone integrated inside the headband; the microcurrent stimulation electrode is used to perform microcurrent neuromodulation stimulation, the forehead LED light strip serves as a micro-light stimulator to perform micro-light neuromodulation stimulation, and the bone conduction earphone is used to perform sound wave neuromodulation stimulation.

[0012] Preferably, the stimulation modes of the multimodal stimulation execution module include a focus mode and a sleep mode; in the focus mode, microcurrent stimulation, micro-light stimulation and sound wave stimulation use high-frequency continuous stimulation waveforms; in the sleep mode, microcurrent stimulation, micro-light stimulation and sound wave stimulation use low-frequency intermittent stimulation waveforms.

[0013] Preferably, the timing synchronization accuracy of the collaborative neural modulation module for microcurrent stimulation, microlight stimulation and sound wave stimulation is less than 2ms, and each stimulation mode is synchronously controlled with 40Hz as the common fundamental frequency.

[0014] The technical effects and advantages of this invention are as follows: This invention relates to an intelligent headband system for closed-loop neuromodulation of EEG signals. It utilizes a combination of a signal perception and acquisition module, an intelligent decision-making module, a multimodal stimulation execution module, and a regulation and feedback unit to achieve a closed-loop architecture design from perception to decision-making, then to stimulation, and finally to feedback. This solves the problem that existing headband devices lack the ability to perform real-time EEG analysis with multimodal, adaptive, and closed-loop neuromodulation capabilities. Attached Figure Description

[0015] Figure 1 This is a block diagram of the headband system of the present invention. Detailed Implementation

[0016] The technical solutions of 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.

[0017] This invention provides, for example Figure 1 This invention relates to a closed-loop neuromodulation intelligent headband system based on electroencephalogram (EEG) signals. Applied to a headband, it includes: a signal sensing and acquisition module, an intelligent decision-making module, and a multimodal stimulation execution module. The core hardware of the intelligent decision-making module is a microprocessor (MCU) or application-specific integrated circuit (ASIC), and it is equipped with a Bluetooth / Wi-Fi wireless communication module and a power management unit. Specifically, the signal sensing and acquisition module is used to sense, amplify, and pre-process the acquired EEG signals and auxiliary physiological signals. The output end of the signal sensing and acquisition module is equipped with an acquisition unit for acquiring the user's EEG signals and auxiliary physiological signals. It should be noted that the acquisition unit includes a physiological signal module. The output of the physiological signal module is electrically connected to the input of the signal sensing and acquisition module. The auxiliary physiological signals monitored by the physiological signal module include body temperature signal and photoplethysmography (PPG) wave signal. The physiological signal module is a sensor array integrated into the forehead area of ​​the headband. The sensor array is used to send acquired data to the signal sensing and acquisition module. The sensor array includes multiple EEG dry and wet electrodes, MEMS temperature sensors and PPG sensors.

[0018] It should be noted that the EEG dry and wet electrodes are used to attach to the user's skin to collect the user's EEG signals, the MEMS temperature sensor is used to collect the user's body temperature signals, and the PPG sensor is used to collect photoplethysmography (PPG) signals. Furthermore, the signal sensing and acquisition module includes: an EEG acquisition circuit, a temperature signal conditioning circuit, and a PPG signal acquisition circuit; Specifically, the input terminal of the EEG acquisition circuit is electrically connected to the output terminal of the EEG dry and wet electrodes. The EEG acquisition circuit is used to amplify and filter the EEG signal. The input terminal of the temperature signal conditioning circuit is electrically connected to the output terminal of the MEMS temperature sensor. The output terminal of the PPG sensor is electrically connected to the input terminal of the PPG signal acquisition circuit. It should be noted that the MEMS temperature sensor, as a signal source, senses temperature and outputs a weak electrical signal. This raw signal contains noise and is not suitable for direct measurement or conversion. The function of the temperature signal conditioning circuit (usually including amplification, filtering, linearization, etc.) is to receive and process this raw signal. The signal flow is: MEMS sensor (output signal) → signal conditioning circuit (input and process signal) → conditioned stable signal (output to subsequent microprocessor). The EEG dry and wet electrodes are the signal pickup end. They are attached to the scalp and directly detect the weak voltage changes generated by the activity of brain neurons. The EEG acquisition circuit (the core of which is an instrumentation amplifier with high input impedance and high common-mode rejection ratio) is the signal receiving and conditioning end. Its primary task is to receive the weak signal from the electrodes, amplify and filter it, and suppress interference.

[0019] It should be noted that the intelligent decision-making module is used to receive user operation instructions, preprocessed physiological signals and stimulation effect feedback information, identify the user's electroencephalographic state through the LSTM machine learning model, and generate multimodal neuromodulation stimulation control instructions. The intelligent decision-making module is equipped with a first input terminal, a second input terminal and a third input terminal, and the first input terminal is electrically connected to the output terminal of the signal sensing and acquisition module. The input end of the multimodal stimulation execution module is electrically connected to the output end of the intelligent decision module. The multimodal stimulation execution module is used to execute microcurrent stimulation, microlight stimulation and sound wave stimulation. The output end of the multimodal stimulation execution module is provided with a regulating part for regulating stimulation. The output end of the regulating part is provided with a feedback part for forming closed-loop neural regulation. The regulation unit includes: a synergistic neural regulation module and a physiological state alteration module; It should be noted that the input end of the coordinating neuromodulation module is electrically connected to the multimodal stimulation execution module. The coordinating neuromodulation module is used to coordinate the timing, intensity and frequency of different stimulation modalities. The input end of the physiological state change module is electrically connected to the output end of the coordinating neuromodulation module. The physiological state change module is used to apply the coordinated multimodal stimulation to the user to regulate the user's electroencephalographic state. Specifically, the synergistic neural modulation module achieves timing synchronization accuracy of less than 2ms for microcurrent stimulation, microlight stimulation, and sound wave stimulation, and each stimulation mode achieves synchronous modulation with 40Hz as the common fundamental frequency. The feedback unit includes a safety monitoring and closed-loop optimization module. The input end of the safety monitoring and closed-loop optimization module is electrically connected to the output end of the physiological state change module. The output end of the safety monitoring and closed-loop optimization module is electrically connected to the second input end of the intelligent decision module. The safety monitoring and closed-loop optimization module is used to monitor the system's operational safety and changes in the user's EEG physiological state in real time, evaluate the effect of neuromodulation, and feed back the optimization parameters to the intelligent decision module to form a closed-loop neuromodulation of EEG signals.

[0020] It should be noted that the third input terminal of the intelligent decision-making module is electrically connected to a user interface module, which is used to intervene in the decision-making of the intelligent decision-making module. Specifically, the user interface module will be able to receive manual commands, parameter adjustments, target settings, or emergency intervention commands (such as pause, confirmation, or veto decisions) from users and transmit them as key input signals to the intelligent decision-making module.

[0021] The multimodal stimulation execution module includes a microcurrent stimulation electrode integrated inside the headband, a forehead LED light strip, and a bone conduction earphone; the microcurrent stimulation electrode is used to perform microcurrent neuromodulation stimulation, the forehead LED light strip acts as a micro-light stimulator to perform micro-light neuromodulation stimulation, and the bone conduction earphone is used to perform sound wave neuromodulation stimulation. Specifically, the stimulation modes of the multimodal stimulation execution module include a focus mode and a sleep mode; in the focus mode, microcurrent stimulation, micro-light stimulation, and sound wave stimulation use high-frequency continuous stimulation waveforms; in the sleep mode, microcurrent stimulation, micro-light stimulation, and sound wave stimulation use low-frequency intermittent stimulation waveforms. The specific closed-loop control process is as follows: After the user puts on the headband, the system powers on and initializes, completing self-tests of each module and sensor calibration. Subsequently, the physiological signal module collects EEG, body temperature, and PPG signals, which are then filtered, denoised, and baseline corrected by the signal perception and acquisition module to extract features such as δ / θ / α / β / γ wave energy and heart rate variability (HRV). The intelligent decision-making module analyzes the features based on an LSTM model, identifies the user's current state (such as focused, anxious, or asleep), and generates corresponding stimulation parameters.

[0022] In focus mode, the multimodal stimulation execution module outputs high-frequency continuous stimulation at a 40Hz fundamental frequency, while the coordinating neuromodulation module ensures that the synchronization accuracy of microcurrent, microlight, and sound wave stimulation is less than 2ms. In sleep mode, it switches to low-frequency intermittent stimulation. The safety monitoring and closed-loop optimization module monitors the user's EEG changes in real time. If the modulation effect does not meet expectations, the stimulation parameters are adjusted and fed back to the intelligent decision-making module, forming a closed-loop optimization. The intelligent decision-making module can transmit user data to a mobile terminal for collection and viewing via Bluetooth and Wi-Fi wireless communication modules. This invention utilizes the combined application of a signal perception and acquisition module, an intelligent decision-making module, a multimodal stimulation execution module, and a modulation and feedback unit to achieve a closed-loop architecture design from perception to decision, then to stimulation, and finally to feedback, thereby solving the problem that existing head-mounted devices lack multimodal, adaptive, and closed-loop neuromodulation capabilities for real-time EEG analysis.

[0023] 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 closed-loop neural modulation intelligent headband system based on electroencephalogram (EEG) signals, applied to a headband, characterized in that, include: The acquisition unit is used to acquire the user's electroencephalogram (EEG) signals and auxiliary physiological signals. The output end of the acquisition unit is equipped with a signal sensing and acquisition module, which is used to sense, amplify and preprocess the acquired EEG signals, body temperature signals and photoplethysmography (PPG) signals. The intelligent decision-making module is used to receive user operation instructions and preprocessed physiological signals, identify the user's electroencephalographic state through an LSTM machine learning model, and generate multimodal neuromodulation stimulation control instructions. The intelligent decision-making module is equipped with a first input terminal, a second input terminal and a third input terminal, and the first input terminal is electrically connected to the output terminal of the signal sensing and acquisition module. A multimodal stimulation execution module is provided, wherein the input end of the multimodal stimulation execution module is electrically connected to the output end of the intelligent decision module, the multimodal stimulation execution module is used to perform microcurrent stimulation, micro-light stimulation and sound wave stimulation, the output end of the multimodal stimulation execution module is provided with a regulating part for regulating the stimulation, and the output end of the regulating part is provided with a feedback part for forming closed-loop neural regulation.

2. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 1, characterized in that, The acquisition unit includes a physiological signal module, the output of which is electrically connected to the input of the signal sensing and acquisition module. The physiological signal module is used to acquire the user's electroencephalogram (EEG) signal, body temperature signal, and photoplethysmography (PPG) signal.

3. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 2, characterized in that, The physiological signal module is a sensor array integrated into the forehead area of ​​the headband. The sensor array is used to send acquired data to the signal sensing and acquisition module. The sensor array includes multiple EEG dry and wet electrodes, MEMS temperature sensors, and PPG sensors.

4. The intelligent headband system for closed-loop neural modulation of EEG signals according to claim 3, characterized in that, The signal sensing and acquisition module includes: An EEG acquisition circuit, wherein the input terminal of the EEG acquisition circuit is electrically connected to the output terminal of the EEG dry and wet electrodes, and the EEG acquisition circuit is used to amplify and filter the EEG signal; A temperature signal conditioning circuit, wherein the input terminal of the temperature signal conditioning circuit is electrically connected to the output terminal of the MEMS temperature sensor; The PPG signal acquisition circuit has its output terminal electrically connected to the input terminal of the PPG sensor.

5. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 1, characterized in that, The adjustment unit includes: A coordinating neuromodulation module, wherein the input end of the coordinating neuromodulation module is electrically connected to the multimodal stimulus execution module, and the coordinating neuromodulation module is used to coordinately regulate the timing, intensity and frequency of different stimulus modalities; The physiological state alteration module has its input terminal electrically connected to the output terminal of the coordinating neuromodulation module. The physiological state alteration module is used to apply the coordinatingly modulated multimodal stimulation to the user to regulate the user's electroencephalographic state.

6. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 5, characterized in that, The feedback unit includes a safety monitoring and closed-loop optimization module. The input terminal of the safety monitoring and closed-loop optimization module is electrically connected to the output terminal of the physiological state change module. The output terminal of the safety monitoring and closed-loop optimization module is electrically connected to the second input terminal of the intelligent decision-making module. The safety monitoring and closed-loop optimization module is used to monitor the system's operational safety and changes in the user's electroencephalographic state in real time, evaluate the effect of neuromodulation, and feed back the optimization parameters to the intelligent decision-making module, forming a closed-loop neuromodulation of the electroencephalographic signal.

7. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 6, characterized in that, The third input terminal of the intelligent decision-making module is electrically connected to a user interaction interface module, which is used to intervene in the decision-making of the intelligent decision-making module.

8. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 5, characterized in that, The multimodal stimulation execution module includes a microcurrent stimulation electrode integrated inside the headband, a forehead LED light strip, and bone conduction headphones; the microcurrent stimulation electrode is used to perform microcurrent neuromodulation stimulation, the forehead LED light strip acts as a micro-light stimulator to perform micro-light neuromodulation stimulation, and the bone conduction headphones are used to perform sound wave neuromodulation stimulation.

9. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 8, characterized in that, The stimulation modes of the multimodal stimulation execution module include a focus mode and a sleep mode. In the focus mode, microcurrent stimulation, micro-light stimulation, and sound wave stimulation use high-frequency continuous stimulation waveforms. In the sleep mode, microcurrent stimulation, micro-light stimulation, and sound wave stimulation use low-frequency intermittent stimulation waveforms.

10. The intelligent headband system for closed-loop neuromodulation of EEG signals according to claim 9, characterized in that, The collaborative neural modulation module achieves timing synchronization accuracy of less than 2ms for microcurrent stimulation, microlight stimulation, and sound wave stimulation, and synchronizes each stimulation mode with a common fundamental frequency of 40Hz.

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