Steady-state movement related potentials for brain computer interfacing

Kianoush Nazarpour, Peter Praamstra, Rowland Miall, S Sanei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An approach for brain computer interfacing (BCI) by analysis of the steady-state movement related potentials (ssMRP) is proposed in this paper. The neurological background of the ssMRPs which are primarily studied by means of the averaged electroencephalogram (EEG) signals are briefly reviewed. A simple feature extraction method is suggested for single trial ssMRP processing. The proposed BCI paradigm is tested by using the Fishers linear discriminant (FLD) classifier. The novelty of this approach is mainly in the application of rhythmic cues for BCI, simple recording setup, and straightforward computations which make the real-time implementations plausible.
Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages5310-3
Number of pages4
ISBN (Print)978-1-4244-1814-5
DOIs
Publication statusPublished - 1 Jan 2008
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference -
Duration: 1 Jan 2008 → …

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Period1/01/08 → …

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