Paper Info
Title
An Asynchronous P300 BCI With SSVEP-Based Control State Detection.
Abstract
In this paper, an asynchronous brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEPs) paradigms is proposed. The information transfer is accomplished using P300 event-related potential paradigm and the control state (CS) detection is achieved using SSVEP, overlaid on the P300 base system. Offline and online experiments have been performed with...
Year
DOI
Venue
2011
10.1109/TBME.2011.2116018
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Accuracy,Electroencephalography,Frequency synchronization,Visualization,Training,Computers,Steady-state
Electrodiagnosis,Data rate units,Computer vision,Asynchronous communication,Information transfer,Visualization,Computer science,Brain–computer interface,Artificial intelligence,User interface
Journal
Volume
Issue
ISSN
58
6
0018-9294
Citations 
PageRank 
References 
33
1.89
7
Authors
3
Name
Order
Citations
PageRank
Rajesh Chandrasekhara Panicker1383.76
Sadasivan Puthusserypady218127.49
Ying Sun322419.86