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CN-122006061-A - Closed-loop nerve control intelligent head band system of electroencephalogram signal

CN122006061ACN 122006061 ACN122006061 ACN 122006061ACN-122006061-A

Abstract

The invention discloses a closed-loop nerve regulation intelligent head band system of an electroencephalogram signal, which comprises a signal sensing acquisition module, an intelligent decision module and a multi-mode stimulation execution module, wherein the output end of the signal sensing acquisition module is provided with an acquisition part, the intelligent decision 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 acquisition module, the input end of the multi-mode stimulation execution module is electrically connected with the output end of the intelligent decision module, the output end of the multi-mode stimulation execution module is provided with an adjusting part, and the output end of the adjusting part is provided with a feedback part. The invention utilizes the combined application of the signal sensing acquisition module, the intelligent decision module, the multi-mode stimulation execution module, the regulating part and the feedback part to realize the decision sensing, the stimulation and finally the feedback of the design of the closed-loop architecture, thereby solving the problem that the existing head-mounted equipment lacks the multi-mode, self-adaption and closed-loop nerve regulation and control capability of the real-time electroencephalogram analysis.

Inventors

  • WU ZHILI
  • QIAO DING
  • DU WEICHONG

Assignees

  • 优盛科技(苏州)有限公司

Dates

Publication Date
20260512
Application Date
20260317

Claims (10)

  1. 1. Closed-loop nerve control intelligent head band system of brain electrical signal is applied to head-mounted head band, characterized in that includes: The acquisition part is used for acquiring the brain electrical signals and the auxiliary physiological signals of the user, the output end of the acquisition part is provided with a signal sensing acquisition module, and the signal sensing acquisition module is used for sensing, amplifying and preliminary preprocessing the acquired brain electrical signals, body temperature signals and photoelectric volume pulse wave signals; The intelligent decision module is used for receiving a user operation instruction and the preprocessed physiological signal, identifying the brain electrophysiological state of the user through an LSTM machine learning model, generating a multi-modal nerve regulation and control instruction, and setting a first input end, a second input end and a third input end, wherein the first input end is electrically connected with the output end of the signal perception acquisition module; the multi-mode stimulation execution module is electrically connected with the output end of the intelligent decision module, and is used for executing microcurrent stimulation, micro-light stimulation and acoustic wave stimulation, the output end of the multi-mode stimulation execution module is provided with a regulating part for regulating and controlling stimulation, and the output end of the regulating part is provided with a feedback part for forming closed-loop nerve regulation and control.
  2. 2. The intelligent brain-electrical signal closed-loop nerve control headband system according to claim 1, wherein the acquisition unit comprises a physiological signal module, an output end of the physiological signal module is electrically connected with an input end of the signal sensing acquisition module, and the physiological signal module is used for acquiring brain-electrical signals, body temperature signals and photoelectric volume pulse wave signals of a user.
  3. 3. The brain electrical signal closed-loop nerve control intelligent headband system according to claim 2, wherein the physiological signal module is a sensor array integrated at a forehead portion of the headband, the sensor array is used for sending acquired data to the signal sensing acquisition module, and the sensor array comprises a plurality of brain electrical dry-wet electrodes, a MEMS temperature sensor and a PPG sensor.
  4. 4. A closed-loop neuromodulation smart headband system for brain electrical signals according to claim 3, wherein the signal sensing acquisition module comprises: the input end of the electroencephalogram acquisition circuit is electrically connected with the output end of the electroencephalogram dry and wet electrode, the electroencephalogram acquisition circuit is used for amplifying and filtering electroencephalogram signals; The input end of the temperature signal conditioning circuit is electrically connected with the output end of the MEMS temperature sensor; and the output end of the PPG sensor is electrically connected with the input end of the PPG signal acquisition circuit.
  5. 5. The closed-loop neuromodulation smart headband system of the brain electrical signal of claim 1, wherein the adjustment section comprises: the input end of the cooperative nerve regulation module is electrically connected with the multi-mode stimulation execution module, and the cooperative nerve regulation module is used for cooperatively regulating and controlling the time sequence, the intensity and the frequency of different stimulation modes; The physiological state changing module is used for enabling the coordinated multi-mode stimulation to act on a user to regulate and control the brain electric physiological state of the user.
  6. 6. The intelligent brain electrical signal closed-loop nerve control headband system of claim 5, wherein the feedback unit comprises a safety monitoring and closed-loop optimizing module, the input end of the safety monitoring and closed-loop optimizing module is electrically connected with the output end of the physiological state changing module, the output end of the safety monitoring and closed-loop optimizing module is electrically connected with the second input end of the intelligent decision module, and the safety monitoring and closed-loop optimizing module is used for monitoring the system operation safety and the change of the physiological state of the brain of a user in real time, evaluating the nerve control effect and feeding back optimized parameters to the intelligent decision module to form the closed-loop nerve control of the brain electrical signal.
  7. 7. The brain signal closed-loop neuromodulation intelligent headband system of claim 6 wherein the third input of the intelligent decision module is electrically connected to a user interface module, the user interface module being configured to interfere with decisions of the intelligent decision module.
  8. 8. The brain electrical signal closed-loop nerve modulation intelligent headband system according to claim 5, wherein the multi-modal stimulation execution module comprises a microcurrent stimulation electrode integrated inside the headband, a forehead LED light band and a bone conduction earphone, wherein the microcurrent stimulation electrode is used for executing microcurrent nerve modulation stimulation, the forehead LED light band is used as a micro-light stimulator for executing micro-light nerve modulation stimulation, and the bone conduction earphone is used for executing acoustic wave nerve modulation stimulation.
  9. 9. The intelligent brain electrical signal closed-loop nerve control headband system according to claim 8, wherein the multi-mode stimulation execution module comprises a concentration mode and a sleep mode, wherein the microcurrent stimulation, the microlight stimulation and the acoustic wave stimulation adopt high-frequency continuous stimulation waveforms in the concentration mode, and the microcurrent stimulation, the microlight stimulation and the acoustic wave stimulation adopt low-frequency intermittent stimulation waveforms in the sleep mode.
  10. 10. The intelligent brain electrical signal closed-loop nerve regulation and control head system according to claim 9, wherein the timing synchronization precision of the cooperative nerve regulation and control module on microcurrent stimulation, micro-light stimulation and acoustic wave stimulation is less than 2ms, and each stimulation mode realizes synchronous regulation and control with 40Hz as a common fundamental frequency.

Description

Closed-loop nerve control intelligent head band system of electroencephalogram signal Technical Field The invention relates to the field of intelligent headbands, in particular to a closed-loop nerve control intelligent headband system for electroencephalogram signals. Background The nerve regulation technology is widely applied in the fields of medical health, consumer electronics and the like as an important means for regulating brain electrical activity and improving cognition and emotional states. The wearable head-mounted device is a main stream carrier for realizing daily nerve regulation due to portability and non-invasiveness. However, the existing head-mounted device only can collect and display the electroencephalogram signals, cannot dynamically generate an adaptive stimulation strategy according to the electroencephalogram states (such as anxiety, concentration and sleep) of a user, and does not construct a closed-loop architecture, so that the problem that the regulation and control process lacks pertinence and adaptive optimization capability is solved. Disclosure of Invention The invention aims to provide a closed-loop nerve control intelligent head band system of an electroencephalogram signal so as to solve the problems in the background technology. In order to achieve the purpose, the invention provides the following technical scheme that the closed-loop nerve control intelligent head band system of the electroencephalogram signal is applied to a head-wearing head band and comprises the following components: The acquisition part is used for acquiring the brain electrical signals and the auxiliary physiological signals of the user, the output end of the acquisition part is provided with a signal sensing acquisition module, and the signal sensing acquisition module is used for sensing, amplifying and preliminary preprocessing the acquired brain electrical signals, body temperature signals and photoelectric volume pulse wave signals; The intelligent decision module is used for receiving a user operation instruction and the preprocessed physiological signal, identifying the brain electrophysiological state of the user through an LSTM machine learning model, generating a multi-modal nerve regulation and control instruction, and setting a first input end, a second input end and a third input end, wherein the first input end is electrically connected with the output end of the signal perception acquisition module; the multi-mode stimulation execution module is electrically connected with the output end of the intelligent decision module, and is used for executing microcurrent stimulation, micro-light stimulation and acoustic wave stimulation, the output end of the multi-mode stimulation execution module is provided with a regulating part for regulating and controlling stimulation, and the output end of the regulating part is provided with a feedback part for forming closed-loop nerve regulation and control. Preferably, the acquisition part comprises a physiological signal module, wherein the output end of the physiological signal module is electrically connected with the input end of the signal sensing acquisition module, and the physiological signal module is used for acquiring brain electrical signals, body temperature signals and photoelectric volume pulse wave signals of a user. Preferably, the physiological signal module is a sensor array integrated at the forehead part of the head band, the sensor array is used for sending acquisition data to the signal sensing acquisition module, and the sensor array comprises a plurality of electroencephalogram dry and wet electrodes, an MEMS temperature sensor and a PPG sensor. Preferably, the signal sensing and collecting module includes: the input end of the electroencephalogram acquisition circuit is electrically connected with the output end of the electroencephalogram dry and wet electrode, the electroencephalogram acquisition circuit is used for amplifying and filtering electroencephalogram signals; The input end of the temperature signal conditioning circuit is electrically connected with the output end of the MEMS temperature sensor; and the output end of the PPG sensor is electrically connected with the input end of the PPG signal acquisition circuit. Preferably, the adjusting part includes: the input end of the cooperative nerve regulation module is electrically connected with the multi-mode stimulation execution module, and the cooperative nerve regulation module is used for cooperatively regulating and controlling the time sequence, the intensity and the frequency of different stimulation modes; The physiological state changing module is used for enabling the coordinated multi-mode stimulation to act on a user to regulate and control the brain electric physiological state of the user. Preferably, the feedback part comprises a safety monitoring and closed-loop optimizing module, the input end of the safety monitoring and closed-loop optimizing