Classification of single trial EEG during motor imagery based on ERD

Author

Jia, Wenyan ; Zhao, Xianghua ; Liu, Hesheng ; Gao, Xiaorong ; Gao, Shangkai ; Yang, Fusheng

Author_Institution

Dept. of Biomedical Eng., Tsinghua Univ., Beijing, China

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

5

Lastpage

8

Abstract

EEG-based brain computer interface (BCI) provides a completely new communication channel between human brain and computer. Classification of EEG signals is a difficult task, especially when the classification has to be preformed on a single-trial EEG to continuously control a device. Event related desynchronization (ERD) has proven to be induced on the contralateral sensorimotor area during imagination of a left or right hand movement. In this paper, we introduced a quantification of ERD, with which a lower classification error rate and a higher information transfer rate can be obtained. The performance was tested by the Graz dataset for BCI competition 2003.

Keywords

biomechanics; electroencephalography; handicapped aids; medical signal processing; signal classification; EEG-based brain computer interface; contralateral sensorimotor area; event related desynchronization; hand movement; high information transfer rate; imagination; low classification error rate; motor imagery; single trial EEG signal classification; Biomedical engineering; Brain computer interfaces; Classification algorithms; Communication channels; Control systems; Electroencephalography; Linear discriminant analysis; Monitoring; Output feedback; Testing; BCI; ERD; motor imagery;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403076

Filename

1403076