Information Acquisition and Feature Extraction of Motor Imagery EEG

Abstract

AbstractBrain-computer interface (BCI) is a new interaction model that directly connects the human brain or animal brain with external devices, which has a wide range of application scenarios. Through the BCI technology based on electroencephalography (EEG) signal, the communication and control of external devices can be realized independently of the peripheral nervous system and muscle tissue. Motor imagery (MI) is a process in which people imagine their limbs or muscles moving, to control some external auxiliary devices (wheelchairs, robotic arms, robots etc.) so that people without motor ability can restore their communication and motor ability to a certain extent. In this paper, the basic situation of EEG and EEG signal acquisition is introduced first. Then, the analysis methods and research contents of EEG signal preprocessing, feature extraction, and feature classification based on motor imagery are introduced in detail. Finally, the brain-computer interface technology based on motor imagery is summarized and prospected.KeywordsBrain-computer Interface (BCI)Motor Imagery (MI)EEG signalsFeature extraction