TWI778521B - Smart brain-computer interface device - Google Patents

Abstract

An intelligent brain-computer interface device, comprising: a set of forehead sensing electrodes, including a composite signal sensing electrode, a ground electrode and a reference electrode, the composite signal sensing electrode is used for placing on the left temporal region of a patient pole, right temporal pole, or the middle of the left and right temporal poles to detect a composite signal, the composite signal includes a VEP signal and an eye movement signal, the ground electrode is used to place the patient's left eye above the left eye to detect a composite signal. Detecting the eye movement signal, the reference electrode is placed at the earlobe of the patient to detect a fundamental frequency of the VEP signal; and a control module including an amplifier circuit, a processing unit and a drive circuit , wherein the amplifying circuit is coupled with the composite signal sensing electrode, the ground electrode and the reference electrode to amplify the difference signal between the composite signal and the eye movement signal at the fundamental frequency; the processing unit is used for An identification operation is performed on the difference signal to determine which command in a command group the difference signal belongs to; and the driving circuit is used for generating a corresponding signal according to one of the commands output by the processing unit to Drive an application device.

Description

Smart brain-computer interface device

The present invention relates to a brain-computer interface device, in particular to a smart brain-computer interface device that can realize brain wave control with fewer electrodes.

EEG can be divided into scalp electrode EEG and intracranial electrode EEG according to the placement of electrodes.

In the measurement technology of scalp electrode EEG, 19 recording electrodes and 2 reference electrodes are generally used to measure the complete EEG of a patient. Sensing electrodes are generally placed at the O _Z (occipital midline) of the hindbrain for the measurement of signals.

However, placing the sensing electrodes in the back of the brain is quite inconvenient for the patient who needs to be bedridden, and it is often infected with noise when sensing signals.

Therefore, there is an urgent need in the art for a novel VEP signal measurement solution to provide a smart brain-computer interface device.

One object of the present invention is to provide a smart brain-computer interface device, which can obtain a VEP signal by detecting the right temporal pole (FP2) of the patient's forehead, and can avoid the _OZ (occipital midline) in the back of the patient's brain. ) is inconvenient to place sensing electrodes, and can avoid the noise caused by hair infection.

Another object of the present invention is to provide an intelligent brain-computer interface device, which can interpret a command issued by a patient by analyzing the VEP signal, so as to display the command or generate a corresponding driving signal according to the command.

In order to achieve the aforementioned purpose, an intelligent brain-computer interface device is proposed, which includes: A set of forehead sensing electrodes including a composite signal sensing electrode, a ground electrode and a reference electrode, the composite signal sensing electrode is used to place the left temporal pole, right temporal pole or left temporal pole of a patient and the middle of the right temporal pole to detect a composite signal, the composite signal includes a VEP signal and an eye movement signal, the ground electrode is placed above the patient's left eye to detect the eye movement signal, the reference electrodes are placed on the patient's earlobe to detect a fundamental frequency of the VEP signal; and A control module includes an amplifier circuit, a processing unit and a drive circuit, wherein the amplifier circuit is coupled with the composite signal sensing electrode, the ground electrode and the reference electrode to amplify the composite signal and the eye a difference signal of the dynamic signal at the fundamental frequency; the processing unit is used for performing an identification operation on the difference signal to determine which command in a command group the difference signal belongs to; and the driving circuit is It is used for generating a corresponding signal to drive an application device according to one of the commands output by the processing unit.

In a possible embodiment, the command group may be {on, off}, {next page, previous page}, {up, down, left, right} or {forward, backward, turn left, turn right , accelerate, stop}.

In a possible embodiment, the application device may be a lamp, a smart home appliance, an electronic book, an on-screen keyboard or a voice device.

In one embodiment, the identification operation includes an artificial intelligence module.

In one embodiment, the artificial intelligence module is a pre-trained neural network module.

Please refer to FIG. 1 , which shows a block diagram of an embodiment of the intelligent brain-computer interface device of the present invention. As shown in FIG. 1 , the intelligent brain-computer interface device has a control module 100 and a set of forehead sensing electrodes, wherein the set of forehead sensing electrodes includes an FP1 electrode 101a, a ground electrode 102 and a reference electrode 103 ; the control module 100 includes an amplifying circuit 110 , a processing unit 120 and a driving circuit 130 .

The FP1 electrode 101a is placed at the left temporal pole of the patient to detect a composite signal S _CMPLX , and the composite signal S _CMPLX includes a VEP signal and an eye movement signal.

The ground electrode 102 is placed above the left eye of the patient to detect a first reference signal S _GND , and the first reference signal S _GND includes the eye movement signal.

The reference electrode 103 is placed at the earlobe of the patient to detect a second reference signal S _REF . The second reference signal S _REF includes a fundamental frequency of the VEP signal.

The amplifying circuit 110 is coupled to the FP1 electrode 101a, the ground electrode 102 and the reference electrode 103 to amplify the difference signal between the composite signal and the eye movement signal at the fundamental frequency.

The processing unit 120 is used for performing an identification operation on the difference signal to determine which command in a command group the difference signal belongs to, wherein the command group may be: {on, off}, { Next page, previous page}, {up, down, left, right}, {forward, backward, turn left, turn right, accelerate, stop} and other command groups; and the recognition operation may include an artificial intelligence module , and the artificial intelligence module can be a pre-trained neural network module.

The driving circuit 130 is used for generating a corresponding signal S _OUT according to one of the commands output by the processing unit 120 to drive an application device, the application device may be a lamp, a smart home appliance, an e-book, an on-screen keyboard or a voice device.

Please refer to FIG. 2 , which shows a block diagram of another embodiment of the intelligent brain-computer interface device of the present invention. As shown in FIG. 2 , the intelligent brain-computer interface device has a control module 100 and a set of forehead sensing electrodes, wherein the set of forehead sensing electrodes includes an FP2 electrode 101b, a ground electrode 102 and a reference electrode 103 ; the control module 100 includes an amplifying circuit 110 , a processing unit 120 and a driving circuit 130 .

The FP2 electrode 101b is placed at the right temporal pole of the patient to detect a composite signal S _CMPLX , and the composite signal S _CMPLX includes a VEP signal and an eye movement signal.

The ground electrode 102 is placed above the left eye of the patient to detect a first reference signal S _GND , and the first reference signal S _GND includes the eye movement signal.

The reference electrode 103 is placed at the earlobe of the patient to detect a second reference signal S _REF . The second reference signal S _REF includes a fundamental frequency of the VEP signal.

The amplifying circuit 110 is coupled to the FP2 electrode 101b, the ground electrode 102 and the reference electrode 103 to amplify the difference signal between the composite signal and the eye movement signal at the fundamental frequency.

The processing unit 120 is used for performing an identification operation on the difference signal to determine which command in a command group the difference signal belongs to, wherein the command group may be: {on, off}, { Next page, previous page}, {up, down, left, right}, {forward, backward, turn left, turn right, accelerate, stop} and other command groups; and the recognition operation may include an artificial intelligence module , and the artificial intelligence module can be a pre-trained neural network module.

The driving circuit 130 is used for generating a corresponding signal S _OUT according to one of the commands output by the processing unit 120 to drive an application device, the application device may be a lamp, a smart home appliance, an e-book, an on-screen keyboard or a voice device.

Please refer to FIG. 3 , which shows a block diagram of another embodiment of the intelligent brain-computer interface device of the present invention. As shown in FIG. 3 , the intelligent brain-computer interface device has a control module 100 and a set of forehead sensing electrodes, wherein the set of forehead sensing electrodes includes an FPZ electrode 101c, a ground electrode 102 and a reference electrode 103 ; the control module 100 includes an amplifying circuit 110 , a processing unit 120 and a driving circuit 130 .

The FPZ electrode 101c is placed in the middle of the left temporal pole and the right temporal pole of the patient to detect a composite signal S _CMPLX , the composite signal S _CMPLX includes a VEP signal and an eye movement signal.

The ground electrode 102 is placed above the left eye of the patient to detect a first reference signal S _GND , and the first reference signal S _GND includes the eye movement signal.

The reference electrode 103 is placed at the earlobe of the patient to detect a second reference signal S _REF . The second reference signal S _REF includes a fundamental frequency of the VEP signal.

The amplifier circuit 110 is coupled to the FPZ electrode 101c, the ground electrode 102 and the reference electrode 103 to amplify the difference signal between the composite signal and the eye movement signal at the fundamental frequency.

The processing unit 120 is used for performing an identification operation on the difference signal to determine which command in a command group the difference signal belongs to, wherein the command group may be: {on, off}, { Next page, previous page}, {up, down, left, right}, {forward, backward, turn left, turn right, accelerate, stop} and other command groups; and the recognition operation may include an artificial intelligence module , and the artificial intelligence module can be a pre-trained neural network module.

The driving circuit 130 is used for generating a corresponding signal S _OUT according to one of the commands output by the processing unit 120 to drive an application device, the application device may be a lamp, a smart home appliance, an e-book, an on-screen keyboard or a voice device.

That is, the present invention is to place a composite signal sensing electrode in the left temporal pole, right temporal pole or the middle of the left temporal pole and right temporal pole to sense a composite signal (including a VEP signal and an eye movement signal), using The eye movement signal is obtained from the sensing signal of the ground electrode, a fundamental frequency of the VEP signal is obtained by using the sensing signal of the reference electrode, and an amplifier circuit is used to amplify the difference between the composite signal and the eye movement signal at the fundamental frequency and using a processing unit to perform an identification operation on the difference signal to determine which command in a command group the difference signal belongs to, so as to drive an application device to perform an operation desired by the patient.

According to the above description, the present invention can provide the following advantages:

1. The intelligent brain-computer interface device of the present invention can obtain a VEP signal by detecting the right temporal pole (FP2) of the patient's forehead, and can avoid placing the sensor at the O _Z (occipital midline) of the back of the patient's brain. The inconvenience of electrodes and the noise caused by hair infection can be avoided.

2. The intelligent brain-computer interface device of the present invention can interpret the command issued by the patient by analyzing the VEP signal, so as to display the command or generate a corresponding driving signal according to the command, thereby driving an application device to execute what the patient wants. operation.

What is disclosed in the present invention is one of the preferred embodiments, and any partial changes or modifications originating from the technical idea of the present invention and easily inferred by those skilled in the art are within the scope of the patent right of the present invention.

To sum up, regardless of the purpose, means and effect of this case, it shows that it is completely different from the conventional technology, and its first invention is suitable for practical use, and indeed meets the patent requirements of the invention. Society is to pray for the best.

100: Control Module 101a: FP1 electrode 101b: FP2 electrode 101c: FPZ electrodes 102: Ground electrode 103: Reference electrode 110: Amplifier circuit 120: Processing unit 130: Drive circuit

In order to further disclose the specific technical content of the present invention, please refer to the drawings first, wherein: FIG. 1 is a block diagram illustrating an embodiment of the intelligent brain-computer interface device of the present invention. FIG. 2 is a block diagram illustrating another embodiment of the intelligent brain-computer interface device of the present invention. FIG. 3 is a block diagram illustrating another embodiment of the intelligent brain-computer interface device of the present invention.

100: Control Module 101a: FP1 electrode 102: Ground electrode 103: Reference electrode 110: Amplifier circuit 120: Processing unit 130: Drive circuit

Claims (4)

A smart brain-computer interface device, comprising: a set of forehead sensing electrodes, including a composite signal sensing electrode, a ground electrode and a reference electrode, the composite signal sensing electrode is used to be placed on the left side of a patient The temporal pole, the right temporal pole, or the middle of the left and right temporal poles to detect a composite signal, the composite signal including a VEP signal and an eye movement signal, the ground electrode is used to place over the patient's left eye To detect the eye movement signal, the reference electrode is placed at the earlobe of the patient to detect a fundamental frequency of the VEP signal; and a control module includes an amplifier circuit, a processing unit and a driver circuit, wherein the amplifying circuit is coupled with the composite signal sensing electrode, the ground electrode and the reference electrode to amplify the difference signal between the composite signal and the eye movement signal at the fundamental frequency; the processing unit uses an identification operation is performed on the difference signal to determine which command in a command group the difference signal belongs to; and the driving circuit is used for generating a corresponding signal according to one of the commands output by the processing unit to drive an application device. The intelligent brain-computer interface device as described in claim 1, wherein the command group consists of {on, off}, {next page, previous page}, {up, down, left, right} , a command group selected by the group consisting of {forward, backward, turn left, turn right, accelerate, stop}. The smart brain-computer interface device described in claim 1, wherein the application device is an application selected from the group consisting of a lamp, a smart home appliance, an e-book, an on-screen keyboard and a voice device device. The intelligent brain-computer interface device according to claim 1, wherein the recognition operation includes an artificial intelligence module, wherein the artificial intelligence module is a pre-trained neural network module.

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