A review of signal processing in brain computer interface system

Author

Norani, N. A Md ; Mansor, W. ; Khuan, L.Y.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia

fYear

2010

fDate

Nov. 30 2010-Dec. 2 2010

Firstpage

443

Lastpage

449

Abstract

Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.

Keywords

biomedical electrodes; brain-computer interfaces; electroencephalography; feature extraction; filters; medical signal processing; signal classification; BCI signal processing; EEG signal classifications; brain-computer interface system; electrode placement; feature extraction; signal filtering; signal processing techniques; Artificial neural networks; Electrodes; Electroencephalography; Feature extraction; Support vector machines; TV; Wire; Asynchronous and Synchronous BCI; Brain-Computer Interface; EEG signals; Wired and Wireless BCI; electrode placements;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-7599-5

Type

conf

DOI

10.1109/IECBES.2010.5742278

Filename

5742278