A novel space-time-frequency masking approach for quantification of EEG source propagation with an application to brain computer interfacing

Leor Shoker, Saeid Sanei, Kianoush Nazarpour, Alex Sumich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A robust space-time-frequency signal extraction algorithm has been developed with an application to brain computer interface (BCI). The algorithm is based on extending time-frequency masking methods to accommodate the spatial domain. The space-time-frequency masks are then clustered in order to extract the desired source. Then the motion of the extracted source it tracked over the scalp. Finally, the trials are classified based on their directionality and locations over the scalp. The proposed method outperforms traditional systems by exploiting the motion of the sources.
Original languageEnglish
Title of host publication2006 14th European Signal Processing Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
Publication statusPublished - 8 Sep 2006
Event2006 14th European Signal Processing Conference - Florence, Italy
Duration: 4 Sep 20068 Sep 2006

Publication series

Name
PublisherIEEE
ISSN (Print)2219-5491

Conference

Conference2006 14th European Signal Processing Conference
CountryItaly
CityFlorence
Period4/09/068/09/06

Fingerprint Dive into the research topics of 'A novel space-time-frequency masking approach for quantification of EEG source propagation with an application to brain computer interfacing'. Together they form a unique fingerprint.

Cite this