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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

Publication ,  Journal Article
Mainsah, BO; Morton, KD; Collins, LM; Sellers, EW; Throckmorton, CS
Published in: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
September 2015

P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. Error-related potentials (ErrP), which are changes in EEG potentials when a person is aware of or perceives erroneous behavior or feedback, have been proposed as inputs to drive corrective mechanisms that veto erroneous actions by BCI systems. The goal of this study is to demonstrate that training an additional ErrP classifier for a P300 speller is not necessary, as we hypothesize that error information is encoded in the P300 classifier responses used for character selection. We perform offline simulations of P300 spelling to compare ErrP and non-ErrP based corrective algorithms. A simple dictionary correction based on string matching and word frequency significantly improved accuracy (35-185%), in contrast to an ErrP-based method that flagged, deleted and replaced erroneous characters (-47-0%) . Providing additional information about the likelihood of characters to a dictionary-based correction further improves accuracy. Our Bayesian dictionary-based correction algorithm that utilizes P300 classifier confidences performed comparably (44-416%) to an oracle ErrP dictionary-based method that assumed perfect ErrP classification (43-433%).

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Published In

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

DOI

EISSN

1558-0210

ISSN

1534-4320

Publication Date

September 2015

Volume

23

Issue

5

Start / End Page

737 / 743

Related Subject Headings

  • Word Processing
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Natural Language Processing
  • Machine Learning
  • Humans
  • Event-Related Potentials, P300
  • Communication Aids for Disabled
  • Brain-Computer Interfaces
 

Citation

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Mainsah, B. O., Morton, K. D., Collins, L. M., Sellers, E. W., & Throckmorton, C. S. (2015). Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers. IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 23(5), 737–743. https://doi.org/10.1109/tnsre.2014.2374471
Mainsah, Boyla O., Kenneth D. Morton, Leslie M. Collins, Eric W. Sellers, and Chandra S. Throckmorton. “Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society 23, no. 5 (September 2015): 737–43. https://doi.org/10.1109/tnsre.2014.2374471.
Mainsah BO, Morton KD, Collins LM, Sellers EW, Throckmorton CS. Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2015 Sep;23(5):737–43.
Mainsah, Boyla O., et al. “Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, vol. 23, no. 5, Sept. 2015, pp. 737–43. Epmc, doi:10.1109/tnsre.2014.2374471.
Mainsah BO, Morton KD, Collins LM, Sellers EW, Throckmorton CS. Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2015 Sep;23(5):737–743.

Published In

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

DOI

EISSN

1558-0210

ISSN

1534-4320

Publication Date

September 2015

Volume

23

Issue

5

Start / End Page

737 / 743

Related Subject Headings

  • Word Processing
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Natural Language Processing
  • Machine Learning
  • Humans
  • Event-Related Potentials, P300
  • Communication Aids for Disabled
  • Brain-Computer Interfaces