Digital input brain-computer interface system based on SEEG signals

A technology of digital input and brain-computer interface, which is applied in the fields of biomedical signal processing technology and brain-computer interface, can solve problems such as lack, and achieve the effects of reducing costs, high signal-to-noise ratio, and low noise

Inactive Publication Date: 2021-01-01
SOUTH CHINA UNIV OF TECH
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The brain-computer interface based on the P300 potential has been widely used in EEG, but due to the limitation of the EEG signal itself, there is still a lot of room for improvement in system perf...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Digital input brain-computer interface system based on SEEG signals
  • Digital input brain-computer interface system based on SEEG signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described below in conjunction with specific examples.

[0025] Such as figure 1 As shown, this embodiment provides a digital input brain-computer interface system based on SEEG signals. The whole system can be divided into a stimulus presentation module, a signal acquisition module, a model training module and an online data analysis module. The stimulus presentation module is written by a C++ program, and is presented through a monitor connected to a computer with a VGA cable, and is used to present the P300 EEG pattern of the subject induced by the stimulus; the signal acquisition module includes implantable SEEG EEG electrodes, EEG amplification and The acquisition device is bidirectionally connected to the computer through a parallel port cable and a network cable, and is used to collect and amplify the intracranial EEG signals of the subjects; after the training data is collected by the signal acquisition module, the model tra...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a digital input brain-computer interface system based on SEEG signals. The digital input brain-computer interface system comprises a stimulation presentation module, a signal acquisition module, a model training module and an online data analysis module. The stimulation presentation module presents a P300 electroencephalogram mode of stimulating and inducing the testee in asingle flickering mode; the signal acquisition module is used for acquiring and amplifying intracranial electroencephalogram signals of a testee; the model training module performs classifier training on the training data to obtain a classifier response model; and the online data analysis module analyzes the online data in real time by utilizing the obtained classifier response model and outputsa result. The system provided by the invention can realize a digital input function by decoding intracranial electrode signals. According to the system, the same or higher input accuracy and information transmission rate can be realized by using fewer electrode channels. Brand-new interactive experience is brought to some epileptic patients, an effective way is provided for clinical scientific research, and potential social value is achieved.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing technology and brain-computer interface, in particular to a digital input brain-computer interface system based on SEEG (deep intracranial stereotactic electroencephalogram) signals. Background technique [0002] Brain-computer interface technology has become a new type of human-computer interaction in recent years. Users can directly use brain signals to interact with computers without physical movement. Sufferers of other diseases provide a reliable means of interacting with the outside world. At present, most brain-computer interface systems collect non-implantable electrophysiological signals, such as EEG, fMRI, NIRS, etc. However, these signals are restricted in time and space resolution, and these signals are susceptible to external interference, and the signal noise is relatively large, which has a great impact on the performance and efficiency of the system. [0003]...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F3/01G06K9/00G06K9/62
CPCG06F3/015G06F2218/12G06F18/214
Inventor 李远清黄炜琛余天佑
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap