Brain-computer interface equipment for auditory attention detection and rehabilitation

Abstract

The utility model provides a brain-computer interface device for auditory attention detection and rehabilitation, which comprises an audio sensor, the audio sensor is connected with a sound processor chip, the sound processor chip is connected with an electroencephalogram signal acquisition electrode through a wire, the electroencephalogram signal acquisition electrode is provided with an acquisition electrode connector, and the acquisition electrode connector is connected with the sound processor chip through a wire. A data transmission wire is arranged at the end of the collecting electrode connector and connected with a signal amplifier, the signal amplifier is in circuit connection with a filter, the filter is connected with an analog-to-digital converter, sound signals are collected through an audio sensor, electroencephalogram signals are analyzed after a series of processing, and the electroencephalogram signals are transmitted to the analog-to-digital converter. And the auditory attention condition of the individual can be accurately detected. Meanwhile, targeted training and rehabilitation are carried out through components such as a feedback signal generator, an auditory stimulation induction wafer and a tactile feedback device, and the auditory attention level of the patient can be improved.

Description

TECHNICAL FIELD

[0001] The utility model relates to the technical field of auditory attention detection equipment, specifically, relates to a kind of brain-computer interface equipment of auditory attention detection and rehabilitation. BACKGROUND

[0002] In today's society, auditory attention is of great significance to people's learning, work and daily life. However, many people have problems of inattentiveness or impaired auditory attention, which can negatively affect their quality of life and work efficiency. Currently, in the field of auditory attention detection and rehabilitation, Chinese utility model patent application No. CN201720324829.6 proposes a brain-computer interface system, which includes an electroencephalogram signal acquisition electrode, an analog signal processing module and a digital signal processing module. The analog signal processing module includes a preamplifier circuit, an anti-aliasing filter circuit and a direct current compensation circuit. The digital signal processing module includes an analog-to-digital converter, a microcontroller, an ARM processor and a wireless transmission circuit. The electroencephalogram signal acquisition electrode inputs the acquired signal to the preamplifier circuit, the output of the preamplifier circuit is connected to the anti-aliasing filter circuit and the direct current compensation circuit, and the output end of the direct current compensation circuit is connected to the preamplifier circuit. The output end of the anti-aliasing filter circuit is sequentially connected to the analog-to-digital converter, the microcontroller, the ARM processor and the wireless transmission circuit.

[0003] However, the existing auditory attention detection and rehabilitation equipment has some shortcomings in use and still needs to be improved. The accuracy and reliability of some existing equipment in detecting auditory attention need to be improved, resulting in inaccurate assessment of the patient's condition. In terms of rehabilitation training, there is a lack of targeted and comprehensive training methods, making it difficult to effectively improve the patient's auditory attention level.

[0004] Some devices have poor processing effect in the process of sound signal processing. The performance of the sound processor is not strong enough to effectively extract the feature information of the sound signal; the gain of the signal amplifier is not ideal, resulting in weak or distorted signals; the filtering effect of the filter is not ideal, making it difficult to remove noise and interference signals, thereby affecting subsequent analysis and processing.

[0005] The design of some devices is not user-friendly, causing discomfort to patients when wearing, and even causing ear pain or compression. In addition, the stability of the device is not sufficient, and it is easy to loosen or shift during use, affecting the detection and training effect.

[0006] The existing auditory attention training equipment often only focuses on auditory stimulation, and the training method is relatively single, lacking comprehensive training of multiple senses, making it difficult to fully mobilize the enthusiasm and participation of patients, thereby affecting the training effect.

[0007] Many devices are not fully considered in the design of different environmental conditions on the performance of the device, resulting in the case of light changes or other environmental factors interference, the working effect of the device is affected, can not meet the needs of practical application.

[0008] Some devices have deficiencies in data storage and analysis, which cannot effectively store data in the detection and training process, and it is also difficult to conduct in-depth analysis and mining on these data, so as to provide valuable information for doctors and researchers, and is not conducive to the development of individualized treatment plan, therefore we make improvement, and propose an auditory attention detection and rehabilitation brain-computer interface device. The utility model discloses the purpose is: the problem that the background technology of present existence is proposed.

[0009] The utility model discloses the purpose is: the problem that the background technology of present existence is proposed. A kind of auditory attention detection and rehabilitation brain-computer interface device provided by the utility model, including audio frequency sensor, the audio frequency sensor is connected with sound processor chip, the sound processor chip is connected with electroencephalogram signal acquisition electrode wire, acquisition electrode connector is arranged on the electroencephalogram signal acquisition electrode, data transmission wire is arranged in the end of the acquisition electrode connector, the data transmission wire is connected with signal amplifier, the signal amplifier is connected with filter circuit, the filter is connected with analog-digital converter, the analog-digital converter is connected with microcontroller wire, the microcontroller is connected with data storage chip, arc ear hanging shell body is arranged in the outside of the microcontroller, the arc ear hanging shell body is provided with arc soft gasket.

[0010] As a preferred technical scheme of the utility model, the microcontroller is connected with frequency generator, the frequency generator is connected with signal modulator, and the signal modulator is connected with feedback signal generator.

[0011] As a preferred technical scheme of the utility model, the arc soft gasket includes first arc soft gasket and second arc soft gasket.

[0012] As a preferred technical scheme of the utility model, the first arc soft gasket and the second arc soft gasket are arranged in a stack, and the first arc soft gasket and the second arc soft gasket are made of soft rubber material.

[0013] As a preferred technical scheme of the utility model, the distal end of the electroencephalogram signal acquisition electrode is provided with a tapered arc connector, and a diaphragm is arranged on the tapered arc connector.

[0014] As a preferred technical scheme of the utility model, the diaphragm is connected with an auditory stimulation sensing tab through a micro wire.

[0015] The hearing stimulation sensing touch piece is connected with the tactile feedback device.

[0016] The microcontroller is connected with the light sensor.

[0017] Compared with the prior art, the utility model has the advantages that in the scheme of the utility model, audio frequency sensor is used to collect sound signals, and after a series of processing, the brain electric signal is analyzed, so that the hearing attention condition of an individual can be accurately detected.

[0018] The sound processor chip processes the sound signal, the signal amplifier enhances the signal strength, the filter removes the noise interference, and the analog-to-digital converter converts the analog signal into a digital signal, which improves the accuracy and reliability of signal processing and provides a high-quality data basis for subsequent analysis and training.

[0019] The arc-shaped ear hanging shell is designed according to ergonomics, and the arc-shaped soft gaskets (including the first arc-shaped soft gasket and the second arc-shaped soft gasket) arranged thereon are made of soft rubber material and are arranged in a stacked manner, which can effectively reduce the pressure of the device on the ear, improve the comfort and stability of wearing, and enable the patient to use the device for a longer time.

[0020] The device not only trains attention through hearing stimulation, but also provides tactile stimulation through the tactile feedback device, realizes comprehensive training of multiple senses, and helps to improve the effect and interest of training.

[0021] The microcontroller is connected with the light sensor, which can adjust the working parameters of the device according to the change of the ambient light, so that the device can work normally under different environmental conditions, and the applicability and reliability of the device are improved.

[0022] The microcontroller is connected with the data storage chip, which can conveniently store the data in the detection and training process, provide strong support for subsequent data analysis and evaluation, and help doctors and researchers better understand the patient's condition and develop personalized treatment plans. DETAILED DESCRIPTION

[0023] Figure 1 The utility model provides a structural schematic view;

[0024] Figure 2 The utility model provides a hearing stimulation sensing touch piece structural schematic view;

[0025] Figure 3 The utility model provides an internal structure schematic view;

[0026] Figure 4 A schematic diagram of a vibrating membrane structure is provided in the utility model.

[0027] Figure 5 A schematic diagram of a top view structure is provided in the utility model.

[0028] Figure 6 A schematic diagram of a left view structure is provided in the utility model.

[0029] Indicated in the figure:

[0030] 1, audio sensor; 2, sound processor chip; 3, electroencephalogram acquisition electrode; 31, acquisition electrode connecting head; 4, data transmission wire; 5, signal amplifier; 6, filter; 7, analog-to-digital converter; 8, microcontroller; 9, data storage chip; 10, frequency generator; 11, signal modulator; 12, feedback signal generator; 13, arc-shaped ear hanging shell; 14, first arc-shaped soft gasket; 15, second arc-shaped soft gasket; 16, conical arc-shaped connecting head; 17, vibrating membrane; 18, auditory stimulation sensing touch piece; 19, tactile feedback device; 20, light sensor. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the embodiments of the utility model clearer, the technical scheme in the embodiments of the utility model will be described clearly and completely below in combination with the drawings. Obviously, the described embodiments are part of the embodiments of the utility model, rather than all the embodiments.

[0032] Therefore, the following detailed description of the embodiments of the utility model is not intended to limit the scope of the claimed utility model, but only represents some embodiments of the utility model. Based on the embodiments in the utility model, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the utility model. It should be noted that the embodiments in the utility model and the features and technical solutions in the embodiments can be combined with each other without conflict, and similar reference signs and letters represent similar items in the following drawings, so that once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0033] Embodiment 1: Please refer to Figures 1-6The application relates to an auditory attention detection and rehabilitation brain-computer interface device which comprises an audio sensor 1, the audio sensor 1 is connected with a sound processor chip 2, the sound processor chip 2 is connected with an electroencephalogram signal acquisition electrode 3 through a wire, the electroencephalogram signal acquisition electrode 3 is provided with an acquisition electrode connecting head 31, the end of the acquisition electrode connecting head 31 is provided with a data transmission wire 4, the data transmission wire 4 is connected with a signal amplifier 5, the signal amplifier 5 is connected with a filter 6 in an electric circuit mode, the filter 6 is connected with an analog-to-digital converter 7, the analog-to-digital converter 7 is connected with a microcontroller 8 through a wire, the microcontroller 8 is connected with a data storage chip 9, the microcontroller 8 is externally provided with an arc-shaped ear hanging shell 13, and the arc-shaped ear hanging shell 13 is provided with arc-shaped soft pads.

[0034] The microcontroller 8 is connected with a frequency generator 10, the frequency generator 10 is connected with a signal modulator 11, the signal modulator 11 is connected with a feedback signal generator 12. The arc-shaped soft pads comprise a first arc-shaped soft pad 14 and a second arc-shaped soft pad 15. The first arc-shaped soft pad 14 and the second arc-shaped soft pad 15 are arranged in a superposed mode, and the first arc-shaped soft pad 14 and the second arc-shaped soft pad 15 are made of soft rubber. The end of the electroencephalogram signal acquisition electrode 3 is provided with a tapered arc-shaped connecting head 16, and the tapered arc-shaped connecting head 16 is provided with a diaphragm 17. The diaphragm 17 is connected with an auditory stimulation sensing touch piece 18 through a micro wire. The auditory stimulation sensing touch piece 18 is connected with a tactile feedback device 19. The microcontroller 8 is connected with a light sensor 20.

[0035] The working principle of the auditory attention detection and rehabilitation brain-computer interface device is as follows:

[0036] The audio sensor 1 firstly collects the sound signals of the external environment and transmits the sound signals to the sound processor chip 2.

[0037] The sound processor chip 2 processes and analyzes the sound signals transmitted by the audio sensor 1.

[0038] The processed sound signals are transmitted to the electroencephalogram signal acquisition electrode 3 through a wire. The acquisition electrode connecting head 31 on the electroencephalogram signal acquisition electrode 3 transmits the signals to the signal amplifier 5 through the data transmission wire 4 at the end.

[0039] The signal amplifier 5 amplifies the electroencephalogram signals to enhance the strength and stability of the signals.

[0040] The filter 6 processes the amplified signals, removes noise and interference signals, and obtains relatively pure signals.

[0041] The analog signals processed by the filter 6 are converted into digital signals by the analog-to-digital converter 7.

[0042] Microcontroller 8: Digital signals are transmitted into the microcontroller 8 for further processing and analysis. The microcontroller 8 is connected with the data storage chip 9, and the processed data can be stored.

[0043] Arc-shaped ear hook shell 13 and arc-shaped soft gasket: The arc-shaped ear hook shell 13 is used for wearing the device, and the arc-shaped soft gasket arranged thereon includes a first arc-shaped soft gasket 14 and a second arc-shaped soft gasket 15. The soft rubber material can improve the comfort and stability of wearing.

[0044] Frequency generator 10, signal modulator 11 and feedback signal generator 12: The microcontroller 8 is connected with the frequency generator 10, which generates signals of specific frequencies. After modulation by the signal modulator 11, the feedback signal is generated by the feedback signal generator 12, which is used for training and rehabilitation of auditory attention.

[0045] End structure of the EEG signal collection electrode 3: The end of the EEG signal collection electrode 3 is provided with a conical arc-shaped connector 16. The diaphragm 17 on the conical arc-shaped connector 16 is connected with the auditory stimulus sensing touch piece 18 through a micro wire. When the sound signal is transmitted to the diaphragm 17, vibration is generated, which is further transmitted to the auditory stimulus sensing touch piece 18 through the micro wire.

[0046] Auditory stimulus sensing touch piece 18 and tactile feedback device 19: After receiving the stimulus, the auditory stimulus sensing touch piece 18 transmits the signal to the tactile feedback device 19, which further enhances the training and rehabilitation effect on auditory attention through tactile feedback.

[0047] Light sensor 20: The microcontroller 8 is connected with the light sensor 20, which can sense the change of ambient light, providing more environmental information for the work of the device to make corresponding adjustments and optimization.

[0048] In summary, the device collects sound signals through the audio sensor 1, and after a series of processing and conversion, the microcontroller 8 analyzes and processes them, and detects and rehabilitates auditory attention through the feedback signal generator 12, the auditory stimulus sensing touch piece 18 and the tactile feedback device 19, etc. At the same time, the arc-shaped ear hook shell 13 and the arc-shaped soft gasket improve the wearing comfort and stability of the device, and the light sensor 20 provides environmental information for the device.

[0049] The specific working process of the auditory attention detection and rehabilitation brain-computer interface device is as follows:

[0050] After the device is started, the audio sensor 1 begins to collect external sound signals and transmits them to the sound processor chip 2.

[0051] The sound processor chip 2 processes and analyzes the received sound signals, extracting relevant feature information.

[0052] The processed sound signals are transmitted to the electroencephalogram signal collection electrode 3 through the wire. The collection electrode connector 31 on the electroencephalogram signal collection electrode 3 transmits the signals to the signal amplifier 5 through the data transmission wire 4 at the end.

[0053] The signal amplifier 5 amplifies the weak electroencephalogram signals to improve the strength and quality of the signals.

[0054] The amplified signals enter the filter 6 circuit, and the filter 6 removes noise and interference components in the signals to obtain purer signals.

[0055] The filtered signals are sent to the analog-to-digital converter 7, which converts the analog signals into digital signals for processing by the microcontroller 8.

[0056] The digital signals output by the analog-to-digital converter 7 are transmitted to the microcontroller 8. The microcontroller 8 further analyzes and processes these signals to extract features related to auditory attention.

[0057] At the same time, the microcontroller 8 stores the processed data into the data storage chip 9 for subsequent analysis and evaluation.

[0058] The microcontroller 8 controls the frequency generator 10 to generate signals of specific frequencies according to pre-set programs and algorithms.

[0059] The signals generated by the frequency generator 10 are transmitted to the signal modulator 11, which forms suitable signal forms after modulation.

[0060] The modulated signals enter the feedback signal generator 12 to generate feedback signals for auditory attention training and rehabilitation.

[0061] When the external sound signals are transmitted to the end of the cone-shaped connector 16 of the electroencephalogram signal collection electrode 3, the diaphragm 17 on it will vibrate.

[0062] The vibration of the diaphragm 17 is transmitted to the auditory stimulation sensing touch pad 18 through the micro wire, triggering auditory stimulation.

[0063] The auditory stimulation sensing touch pad 18 transmits the stimulation signals to the tactile feedback device 19, which generates corresponding tactile feedback to enhance the training effect on auditory attention.

[0064] The microcontroller 8 is connected with the light sensor 20, which monitors the changes of ambient light in real time and transmits information to the microcontroller 8. The microcontroller 8 can adjust the working parameters of the device according to the changes of light to ensure the normal work of the device in different environments.

[0065] In embodiment 2, the patient wears the arc-shaped ear hanging shell 13 on the ear to ensure that the arc-shaped soft gasket is comfortably attached to the ear. After the device is started, the audio sensor 1 starts to collect sound signals in the surrounding environment, and the frequency response range is 20Hz-20kHz, which can capture various sound information. The collected sound signals are transmitted to the sound processor chip 2, which processes and analyzes the sound signals at a processing speed of 500MHz to extract relevant features.

[0066] The processed sound signals are transmitted to the electroencephalogram signal collection electrode 3 through the wire, and the electrode impedance of the electroencephalogram signal collection electrode 3 is less than 5kΩ to ensure that the electroencephalogram signal can be accurately collected. The data transmission wire 4 on the collection electrode connector 31 transmits the electroencephalogram signal to the signal amplifier 5, and the signal amplifier 5 adjusts the gain between 20-80dB according to the actual situation of the patient to enhance the intensity of the electroencephalogram signal.

[0067] The amplified signal enters the filter 6, and the low-pass filter 6 of the filter 6 has a cutoff frequency of 100Hz, and the high-pass filter 6 has a cutoff frequency of 1Hz, which effectively removes noise and interference signals. The filtered signal is sent to the analog-to-digital converter 7, which converts the analog signal to a digital signal with a resolution of 12 bits at a conversion speed of 100kSPS.

[0068] The digital signal is transmitted to the microcontroller 8, which further analyzes and processes the signal at a running frequency of 100MHz. The microcontroller 8 stores the processed data in the 16GB data storage chip 9 for subsequent analysis and evaluation.

[0069] At the same time, the microcontroller 8 controls the frequency generator 10 to generate specific frequency signals in the range of 1Hz-100kHz with a frequency accuracy of 0.1Hz according to the preset program and algorithm. These signals are transmitted to the signal modulator 11 and modulated by amplitude modulation, frequency modulation or phase modulation. The modulated signal enters the feedback signal generator 12 to generate an adjustable output signal of 0-5V, which is used for training and rehabilitation of the patient's auditory attention.

[0070] When the external sound signal is transmitted to the end of the cone-shaped connector 16 of the brain electrical signal collection electrode 3, the diaphragm 17 on it will respond to the vibration with a vibration frequency of 50Hz-5kHz. The vibration of the diaphragm 17 is transmitted to the auditory stimulation sensing touch piece 18 through the micro wire with a wire diameter of 0.5mm and a resistance of less than 1Ω / m, triggering the auditory stimulation. The auditory stimulation sensing touch piece 18 transmits the stimulation signal to the tactile feedback device 19, and the tactile feedback device 19 generates corresponding tactile feedback to help the patient concentrate better.

[0071] In addition, the microcontroller 8 is connected with the light sensor 20, which can detect the light intensity in the range of 0-1000lux with an accuracy of ±10lux. The microcontroller 8 can adjust the working parameters of the device according to the change of the ambient light detected by the light sensor 20, so that the device can work normally under different environmental conditions.

[0072] Example 3: The model parameters of a brain-computer interface device for auditory attention detection and rehabilitation are as follows:

[0073] Audio sensor 1: MAX9814 microphone, frequency response range 20Hz-20kHz, sensitivity -40dB±2dB. Sound processor chip 2: TI TMS320C6747 DSP, processing speed 300MHz, 32-bit audio processing accuracy. Brain electrical signal collection electrode 3: Neurosky MindWave Mobile electrode, electrode impedance less than 5kΩ, sampling frequency 512Hz. Signal amplifier 5: AD620 instrument amplifier, gain range 1-10000, adjustable. Filter 6: MAX275 active filter 6, low-pass filter 6 cutoff frequency 100Hz, high-pass filter 6 cutoff frequency 1Hz. Analog-to-digital converter 7: ADS1299 24-bit ADC, conversion speed 250kSPS.

[0074] Microcontroller 8: STM32F407ZGT6, running frequency of 168MHz, memory of 1MB. Data storage chip 9: Microchip 25AA1024 SPI EEPROM, storage capacity of 1MB. Frequency generator 10: AD9833 DDS frequency synthesizer, frequency range of 0.1Hz-10MHz, frequency accuracy of 0.01Hz. Signal modulator 11: AD8346 multiplier / mixer, modulation methods including amplitude modulation, frequency modulation and phase modulation. Feedback signal generator 12: MAX5025A current mode PWM controller, output signal amplitude of 0-5V, adjustable. Arc-shaped soft gasket: silicone material, the thickness of the first arc-shaped soft gasket 14 and the second arc-shaped soft gasket 15 is 3mm, and the width is 15mm. Diaphragm 17: PEEK diaphragm 17, vibration frequency response range of 50Hz-5kHz. Micro-wire: AWG30 enameled wire, wire diameter of 0.25mm, resistance less than 1Ω / m.

[0075] Light sensor 20: BH1750FVI digital light intensity sensor, detection range of 0-65535lux, accuracy of ±1lux.

[0076] Example 4: An auditory attention detection and rehabilitation brain-computer interface device, the patient wears the arc-shaped ear hanging shell 13 on the ear, ensuring that the arc-shaped soft gasket is comfortably fitted on the ear. After the device is started, the MAX9814 microphone starts to collect the sound signals in the surrounding environment, and the frequency response range is 20Hz-20kHz, which can capture various sound information. The collected sound signals are transmitted to TI TMS320C6747 DSP for processing and analysis, and relevant features are extracted.

[0077] The processed sound signals are transmitted to the Neurosky MindWave Mobile electrode through the wire, and the electrode impedance of the electrode is less than 5kΩ, to ensure that the electroencephalogram signals can be accurately collected. The data transmission wire 4 on the collection electrode connector 31 transmits the electroencephalogram signals to the AD620 instrument amplifier, and the gain is adjusted between 1-10000 according to the actual situation of the patient, to enhance the intensity of the electroencephalogram signals.

[0078] The amplified signals enter the MAX275 active filter 6, the low-pass filter 6 of the filter 6 has a cutoff frequency of 100Hz, and the high-pass filter 6 has a cutoff frequency of 1Hz, effectively removing noise and interference signals. The filtered signals are sent to the ADS1299 24-bit ADC, which converts the analog signals to digital signals at a conversion speed of 250kSPS.

[0079] The digital signal is transmitted to the STM32F407ZGT6 microcontroller 8, which further analyzes and processes the signal at a running frequency of 168MHz. The microcontroller 8 stores the processed data in the Microchip 25AA1024 SPI EEPROM for subsequent analysis and evaluation.

[0080] Meanwhile, the STM32F407ZGT6 microcontroller 8 controls the AD9833 DDS frequency synthesizer to generate a specific frequency signal in the range of 0.1Hz-10MHz with a frequency accuracy of 0.01Hz according to a preset program and algorithm. These signals are transmitted to the AD8346 multiplier / mixer, which is modulated in the form of amplitude modulation, frequency modulation or phase modulation. The modulated signal enters the MAX5025A current mode PWM controller to generate a 0-5V adjustable output signal, which is used for training and rehabilitation of the patient's auditory attention.

[0081] When the external sound signal is transmitted to the tip arc-shaped connector 16 of the Neurosky MindWave Mobile electrode, the PEEK diaphragm 17 responds to generate vibration at a vibration frequency of 50Hz-5kHz. The vibration of the diaphragm 17 is transmitted to the auditory stimulation sensing tab 18 through the AWG30 enameled wire, triggering auditory stimulation. The auditory stimulation sensing tab 18 transmits the stimulation signal to the tactile feedback device 19, which generates corresponding tactile feedback to help the patient better concentrate.

[0082] In addition, the STM32F407ZGT6 microcontroller 8 is connected with the BH1750FVI digital light intensity sensor, which can detect the light intensity in the range of 0-65535lux with an accuracy of ±1lux. The microcontroller 8 can adjust the working parameters of the device according to the change of the ambient light detected by the light sensor 20, so that the device can work normally under different environmental conditions.

[0083] The above embodiments are only used to illustrate the technical solutions described in the present application and are not limited to the technical solutions described in the present application. Although the present application has been described in detail with reference to the above embodiments, the present application is not limited to the above specific embodiments, and any modification or equivalent replacement of the present application is allowed. All technical solutions and improvements that do not deviate from the spirit and scope of the present application are included in the scope of the claims of the present application.

Claims

1. A brain-computer interface device for auditory attention detection and rehabilitation, comprising an audio sensor (1), characterized in that, The audio sensor (1) is connected to the sound processor chip (2), the sound processor chip (2) is wired to the EEG signal acquisition electrode (3), the EEG signal acquisition electrode (3) is provided with an acquisition electrode connector (31), the end of the acquisition electrode connector (31) is provided with a data transmission wire (4), the data transmission wire (4) is connected to the signal amplifier (5), the signal amplifier (5) is connected to the filter (6) circuit, the filter (6) is connected to the analog-to-digital converter (7), the analog-to-digital converter (7) is wired to the microcontroller (8), the microcontroller (8) is connected to the data storage chip (9), the microcontroller (8) is provided with an arc-shaped ear hook shell (13) on its exterior, and the arc-shaped ear hook shell (13) is provided with an arc-shaped soft pad.

2. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 1, characterized in that, The microcontroller (8) is connected to the frequency generator (10), the frequency generator (10) is connected to the signal modulator (11), and the signal modulator (11) is connected to the feedback signal generator (12).

3. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 2, characterized in that, The arc-shaped soft pad includes a first arc-shaped soft pad (14) and a second arc-shaped soft pad (15).

4. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 3, characterized in that, The first arc-shaped soft pad (14) and the second arc-shaped soft pad (15) are stacked together, and the first arc-shaped soft pad (14) and the second arc-shaped soft pad (15) are made of soft rubber.

5. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 4, characterized in that, The end of the EEG signal acquisition electrode (3) is provided with a conical arc-shaped connector (16), and a vibrating diaphragm (17) is provided on the conical arc-shaped connector (16).

6. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 5, characterized in that, The diaphragm (17) is connected to the auditory stimulation sensing contact (18) via a micro wire.

7. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 6, characterized in that, The auditory stimulation sensing touch (18) is connected to the tactile feedback device (19).

8. The brain-computer interface device for auditory attention detection and rehabilitation according to claim 7, characterized in that, The microcontroller (8) is connected to the light sensor (20).

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