Journal article
An Asynchronous P300 BCI With SSVEP-Based Control State Detection
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 ten subjects to validate the proposed system. It is shown to achieve fast and accurate CS detection without significantly compromising the performance. In online experiments, the system is found to be capable of achieving an average data transfer rate of 19.05 bits/min, with CS detection accuracy of about 88%.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2011 |
| Pages: | 1781-1788 |
| ISSN: | 15582531 and 00189294 |
| Types: | Journal article |
| DOI: | 10.1109/TBME.2011.2116018 |
| ORCIDs: | Puthusserypady, Sadasivan |
Asynchronous control Brain–computer interface (BCI) EEG P300 Steady-state visually evoked potentials (SSVEPs)
Accuracy Adult Algorithms Area Under Curve Computers Electroencephalography Event-Related Potentials, P300 Evoked Potentials, Visual Female Frequency synchronization Humans Male Neural Prostheses P300 event-related potential paradigm SSVEP-based control state detection Signal Processing, Computer-Assisted Steady-state Training Visualization asynchronous P300 BCI brain-computer interface brain-computer interfaces brain–computer interface (BCI) electroencephalography handicapped aids information transfer medical control systems medical signal detection medical signal processing steady-state visually evoked potentials steady-state visually evoked potentials (SSVEPs) visual evoked potentials
