CN219266900U

CN219266900U - Portable brain-computer interface system based on raspberry group

Info

Publication number: CN219266900U
Application number: CN202222827323.0U
Authority: CN
Inventors: 胡勇; 李晓东; 端木德浩; 王小军; 曹翔
Original assignee: University of Hong Kong HKU
Current assignee: University of Hong Kong HKU
Priority date: 2022-10-26
Filing date: 2022-10-26
Publication date: 2023-06-27
Anticipated expiration: 2032-10-26

Abstract

The utility model discloses a portable brain-computer interface system based on a raspberry group, which is characterized by comprising the raspberry group, an electroencephalogram signal acquisition device and a visual stimulator, wherein the raspberry group is connected with the visual stimulator in a wired mode and is used for driving the visual stimulator to generate stimulation flicker, the electroencephalogram signal acquisition device is connected with the raspberry group and is used for feeding back acquired electroencephalogram signals of a user to the raspberry group, and the raspberry group decodes the received electroencephalogram signals and converts the decoded electroencephalogram signals into corresponding control instructions. The utility model adopts the raspberry pie as a data receiving, analyzing and executing unit, the raspberry pie is based on an open source system, has strong compatibility, and can realize a brain-computer interface system by matching with an electroencephalogram signal acquisition device; the raspberry pie has good data processing capability and can run a complex brain electrolysis code algorithm; the raspberry pie has rich GPIO interfaces and strong expansibility, so that the brain-computer interface system can be used in different use scenes to realize different functions.

Description

Portable brain-computer interface system based on raspberry group

Technical Field

The utility model belongs to the technical field of brain-computer interfaces, and particularly relates to a portable brain-computer interface system based on raspberry pie.

Background

The brain-computer interface technology is used for creating direct connection between the brain of a human or animal and external equipment so as to realize information exchange between the brain and the equipment external equipment, and the working flow mainly comprises acquisition of brain electrical signals, signal processing, output and execution of signals. Currently, the use of brain-computer interfaces is limited to laboratory environments, mainly due to the limitations of the electroencephalogram acquisition and decoding devices. The acquisition of the brain electrical signals is dependent on professional equipment, and the analysis of the brain electrical signals has certain requirements on the computing capacity of a computer. The existing brain-computer interface system has the defects in the aspects of miniaturization, portability and wearability, and the brain-computer interface technology is difficult to popularize in daily life.

Disclosure of Invention

Aiming at the defects of the prior art, the utility model aims to provide a portable brain-computer interface system based on raspberry pie, which solves the problems of inconvenient carrying and poor ductility in the prior art.

The utility model further aims to provide a portable brain-computer interface system based on the raspberry group, which comprises the raspberry group, an electroencephalogram signal acquisition device and a visual stimulator, wherein the raspberry group is connected with the visual stimulator in a wired mode and is used for driving the visual stimulator to generate stimulation flicker, the electroencephalogram signal acquisition device is connected with the raspberry group and is used for feeding back acquired electroencephalogram signals of a user to the raspberry group, and the raspberry group decodes the received electroencephalogram signals and converts the decoded electroencephalogram signals into corresponding control instructions.

Preferably, a stimulation driving module, a wireless receiving module and a brain electrolysis code module are arranged in the raspberry pie, the stimulation driving module drives the visual stimulator to generate stimulation flicker, the brain electrical signal acquisition device feeds back the acquired brain electrical signal of the user to the raspberry pie, after the wireless receiving module in the raspberry pie receives the brain electrical signal, the brain electrolysis code module is transmitted to the brain electrolysis code module, and the brain electrolysis code module decodes the brain electrical signal through preprocessing and an FBCCA algorithm and converts a decoding result into a corresponding control instruction.

Preferably, an electroencephalogram collector OpenBCI and a wireless transmitting module for collecting electroencephalogram signals are arranged in the electroencephalogram signal collecting device, and the collected electroencephalogram signals of the user are fed back to the raspberry group through the wireless transmitting module by the electroencephalogram collector OpenBCI.

Preferably, the visual stimulator includes four blocks of flicker, each block blinking at a different frequency.

Preferably, the size and frequency of each of the tiles is associated with the stimulation drive module.

Compared with the prior art, the portable brain-computer interface system based on the raspberry group has the advantages that the raspberry group is used as a data receiving, analyzing and executing unit, is based on an open source system, has high compatibility, and can be matched with an electroencephalogram signal acquisition device to realize the brain-computer interface system; the raspberry pie has good data processing capability and can run a complex brain electrolysis code algorithm; the raspberry pie has rich GPIO interfaces and strong expansibility, so that the brain-computer interface system can be used in different use scenes to realize different functions; the raspberry pie is small in size, light in weight, low in power consumption and beneficial to development into wearable equipment.

Drawings

Fig. 1 is a schematic structural diagram of a portable brain-computer interface system based on raspberry group according to the present utility model.

Detailed Description

The present utility model will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present utility model more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the utility model.

As shown in fig. 1, the portable brain-computer interface system based on raspberry pie provided by the embodiment of the utility model comprises the raspberry pie, an electroencephalogram signal acquisition device and a visual stimulator. The raspberry group comprises a stimulation driving module, a wireless receiving module and a brain electrolysis code module, and the brain electrical signal acquisition device comprises an brain electrical acquisition device OpenBCI and a wireless transmitting module. The raspberry pie is connected with the visual stimulator in a wired mode, and the stimulation driving module drives the visual stimulator to generate stimulation flicker. The user pays the relevant stimulation scintillation according to own demand, and the brain electrical signal collector OpenBCI gathers the brain electrical signal of user this moment, sends to the raspberry group through wireless transmitting module. And after receiving the electroencephalogram signals, the wireless receiving module of the raspberry pie transmits the electroencephalogram signals to the brain electrolysis code module, decodes the electroencephalogram signals through preprocessing and filter bank typical correlation analysis FBCCA algorithm, and converts the decoding results into corresponding control instructions.

In a specific implementation, the visual stimulator includes four blocks of flicker, each block blinking at a different frequency. The four blocks represent 4 instructions, and the size and frequency of the blocks are determined by the stimulation driving module, and in this embodiment, the stimulation frequency can be selected to be 8-12Hz.

In a specific implementation process, the electroencephalogram signal collector OpenBCI includes 8 measurement electrodes, 1 reference electrode and 1 ground electrode.

In this example, the measurement electrodes were placed on the 10/20 international standard leads PO5, PO3, POz, PO4, PO6, O1, oz, and O2, and the reference and ground electrodes were placed on the left and right ears, respectively.

In a specific implementation process, the wireless transmitting module is connected with the wireless receiving module of the raspberry group based on Bluetooth or WIFI.

In a specific implementation process, the electroencephalogram code module carries out filtering pretreatment on the electroencephalogram signals of the user, then adopts filter bank typical correlation analysis FBCCA, and finally decodes and identifies the instruction which the user wants to send.

In a specific implementation process, the filtering pretreatment comprises the following steps: 1) Performing 50Hz notch treatment; 2) And carrying out 1-50Hz band-pass filtering.

In a specific implementation, the filter bank typically performs correlation analysis FBCCA, including the following steps: 1) Performing filter bank analysis, and decomposing the electroencephalogram signals into a plurality of subband signals by using a plurality of different band-pass filters; 2) And carrying out correlation analysis on each subband component obtained by filtering and the standard sine and cosine reference signal, wherein the frequency corresponding to the maximum correlation is the identification result.

In summary, the portable brain-computer interface system based on the raspberry group provided by the utility model adopts the raspberry group as a data receiving, analyzing and executing unit, the raspberry group is based on an open source system, the compatibility is strong, and the brain-computer interface system can be realized by matching with an electroencephalogram collector OpenBCI; the raspberry pie has good data processing capability and can run a complex brain electrolysis code algorithm; the raspberry pie has rich GPIO interfaces and strong expansibility, so that the brain-computer interface system can be used in different use scenes to realize different functions; the raspberry pie is small in size, light in weight, low in power consumption and beneficial to development into wearable equipment.

The foregoing is only a preferred embodiment of the present utility model, but the scope of the present utility model is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the technical scope of the present utility model should be covered by the present utility model. Therefore, the protection scope of the present utility model should be subject to the protection scope of the claims.

Claims

1. The utility model provides a portable brain-computer interface system based on raspberry group, its characterized in that includes raspberry group, brain-electrical signal collection device and visual stimulator, the raspberry group is connected with visual stimulator through wired mode, is used for driving visual stimulator produces the stimulation scintillation, brain-electrical signal collection device is connected with the raspberry group for with the brain-electrical signal feedback of the user who gathers to the raspberry group, the raspberry group decodes and converts corresponding control command to the brain-electrical signal that receives.

2. The portable brain-computer interface system based on the raspberry group according to claim 1, wherein a stimulation driving module, a wireless receiving module and a brain-electrolysis code module are arranged in the raspberry group, the stimulation driving module drives the visual stimulator to generate stimulation flicker, the electroencephalogram signal acquisition device feeds back the acquired electroencephalogram signal of the user to the raspberry group, when the wireless receiving module in the raspberry group receives the electroencephalogram signal, the electroencephalogram signal is transmitted to the brain-electrolysis code module, and the brain-electrolysis code module decodes the electroencephalogram signal through preprocessing and an FBCCA algorithm and converts a decoding result into a corresponding control instruction.

3. The portable brain-computer interface system based on the raspberry group according to claim 2, wherein an electroencephalogram collector and a wireless transmitting module for collecting electroencephalogram signals are arranged in the electroencephalogram signal collecting device, and the electroencephalogram collector feeds back the collected electroencephalogram signals of the user to the raspberry group through the wireless transmitting module.

4. A portable brain-computer interface system according to claim 2 or 3, wherein the visual stimulator comprises four blocks of flicker, each block blinking at a different frequency.

5. The raspberry group based portable brain-computer interface system of claim 4, wherein the size and frequency of each block is associated with the stimulation driver module.