Asynchronous P300 BCI: SSVEP based control state detection

Rajesh Panicker, Sadasivan Puthusserypady, Ying Sun

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

719 Downloads (Pure)


An asynchronous hybrid brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEP) paradigms is introduced. A P300 base system is used for information transfer, and is augmented to include SSVEP for control state detection. The proposed
system has been validated through off-line and online experiments. It is shown to achieve fast and accurate control state detection without significantly compromising the performance. For the two subjects who participated in the online experiments, the system achieved an average data transfer
rate of 20.13 bits/min, with control state classification accuracy of more than 97%.
Original languageEnglish
Title of host publicationProceedings of the EUSIPCO 2010
Publication date2010
Publication statusPublished - 2010
Event18th European Signal Processing Conference - Aalborg, Denmark
Duration: 23 Aug 201027 Aug 2010
Conference number: 18


Conference18th European Signal Processing Conference


Dive into the research topics of 'Asynchronous P300 BCI: SSVEP based control state detection'. Together they form a unique fingerprint.

Cite this