A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs
Joint Authors
Coyle, Damien
Mahloojifar, Ali
Mohammadi, Raheleh
Source
Advances in Human-Computer Interaction
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Mental task onset detection from the continuous electroencephalogram (EEG) in real time is a critical issue in self-paced brain computer interface (BCI) design.
The paper shows that self-paced BCI performance can be significantly improved by combining a range of simple techniques including (1) constant-Q filters with varying bandwidth size depending on the center frequency, instead of constant bandwidth filters for frequency decomposition of the EEG signal in the 6 to 36 Hz band; (2) subject-specific postprocessing parameter optimization consisting of dwell time and threshold, and (3) debiasing before postprocessing by readjusting the classification output based on the current and previous brain states, to reduce the number of false detections.
This debiasing block is shown to be optimal when activated only in special cases which are predetermined during the training phase.
Analysis of the data recorded from seven subjects executing foot movement shows a statistically significant 10% (P<0.05) average improvement in true positive rate (TPR) and a 1% reduction in false positive rate (FPR) detections compared with previous work on the same data.
American Psychological Association (APA)
Mohammadi, Raheleh& Mahloojifar, Ali& Coyle, Damien. 2012. A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs. Advances in Human-Computer Interaction،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-452761
Modern Language Association (MLA)
Mohammadi, Raheleh…[et al.]. A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs. Advances in Human-Computer Interaction No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-452761
American Medical Association (AMA)
Mohammadi, Raheleh& Mahloojifar, Ali& Coyle, Damien. A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs. Advances in Human-Computer Interaction. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-452761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452761