An Asynchronous P300 BCI With SSVEP-Based Control State Detection

Rajesh C. Panicker, Sadasivan Puthusserypady, Ying Sun

Research output: Contribution to journalJournal articleResearchpeer-review

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 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%.
Original languageEnglish
JournalI E E E Transactions on Biomedical Engineering
Volume58
Issue number6
Pages (from-to)1781-1788
ISSN0018-9294
DOIs
Publication statusPublished - 2011

Keywords

  • Asynchronous control
  • P300
  • Steady-state visually evoked potentials (SSVEPs)
  • EEG
  • Brain–computer interface (BCI)

Cite this

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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 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{\%}.",
keywords = "Asynchronous control, P300, Steady-state visually evoked potentials (SSVEPs), EEG, Brain–computer interface (BCI)",
author = "Panicker, {Rajesh C.} and Sadasivan Puthusserypady and Ying Sun",
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An Asynchronous P300 BCI With SSVEP-Based Control State Detection. / Panicker, Rajesh C.; Puthusserypady, Sadasivan; Sun, Ying.

In: I E E E Transactions on Biomedical Engineering, Vol. 58, No. 6, 2011, p. 1781-1788.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - An Asynchronous P300 BCI With SSVEP-Based Control State Detection

AU - Panicker, Rajesh C.

AU - Puthusserypady, Sadasivan

AU - Sun, Ying

PY - 2011

Y1 - 2011

N2 - 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%.

AB - 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%.

KW - Asynchronous control

KW - P300

KW - Steady-state visually evoked potentials (SSVEPs)

KW - EEG

KW - Brain–computer interface (BCI)

U2 - 10.1109/TBME.2011.2116018

DO - 10.1109/TBME.2011.2116018

M3 - Journal article

C2 - 21335304

VL - 58

SP - 1781

EP - 1788

JO - I E E E Transactions on Biomedical Engineering

JF - I E E E Transactions on Biomedical Engineering

SN - 0018-9294

IS - 6

ER -