Steady-state movement related potentials for BCI – anexploratory approach in the STF domain

K. Nazarpour; P. Praamstra; R. C. Miall; S. Sanei

Steady-state movement related potentials for BCI – anexploratory approach in the STF domain

K. Nazarpour, P. Praamstra, R. C. Miall, S. Sanei

Research output: Contribution to conference › Paper › peer-review

Abstract / Description of output

Classification of the steady-state movement related potentials (ssMRP) is proposed here as a potential approach to real-time brain computer interfacing (BCI). We briefly review the neurological background of ssMRPs which are typically studied by means of averaged electroencephalogram (EEG) signals. A simple feature extraction method is then suggested for single trial ssMRP processing. The Fisher’s linear discriminant (FLD) classifier is utilized here in order to test the proposed BCI. The novelty and promise of this approach is mainly in the application of rhythmic cues for BCI, the simple recording setup, and straightforward computations which make the real-time implementations plausible.

Original language	English
Pages	220-225
Number of pages	6
Publication status	Published - 21 Sept 2008
Event	4th International Brain-Computer Interface Workshop and Training Course 2008 - Graz, Austria Duration: 18 Sept 2008 → 21 Sept 2008

Workshop

Workshop	4th International Brain-Computer Interface Workshop and Training Course 2008
Country/Territory	Austria
City	Graz
Period	18/09/08 → 21/09/08

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@conference{5b077c2ffdcb418d8a1424e31ad6899d,

title = "Steady-state movement related potentials for BCI – anexploratory approach in the STF domain",

abstract = "Classification of the steady-state movement related potentials (ssMRP) is proposed here as a potential approach to real-time brain computer interfacing (BCI). We briefly review the neurological background of ssMRPs which are typically studied by means of averaged electroencephalogram (EEG) signals. A simple feature extraction method is then suggested for single trial ssMRP processing. The Fisher{\textquoteright}s linear discriminant (FLD) classifier is utilized here in order to test the proposed BCI. The novelty and promise of this approach is mainly in the application of rhythmic cues for BCI, the simple recording setup, and straightforward computations which make the real-time implementations plausible.",

author = "K. Nazarpour and P. Praamstra and Miall, {R. C.} and S. Sanei",

year = "2008",

month = sep,

day = "21",

language = "English",

pages = "220--225",

note = "4th International Brain-Computer Interface Workshop and Training Course 2008 ; Conference date: 18-09-2008 Through 21-09-2008",

}

Nazarpour, K, Praamstra, P, Miall, RC & Sanei, S 2008, 'Steady-state movement related potentials for BCI – anexploratory approach in the STF domain', Paper presented at 4th International Brain-Computer Interface Workshop and Training Course 2008, Graz, Austria, 18/09/08 - 21/09/08 pp. 220-225. <https://www.tugraz.at/institute/ine/graz-bci-conferences/4th-graz-bci-conference-2008/>

TY - CONF

T1 - Steady-state movement related potentials for BCI – anexploratory approach in the STF domain

AU - Nazarpour, K.

AU - Praamstra, P.

AU - Miall, R. C.

AU - Sanei, S.

PY - 2008/9/21

Y1 - 2008/9/21

N2 - Classification of the steady-state movement related potentials (ssMRP) is proposed here as a potential approach to real-time brain computer interfacing (BCI). We briefly review the neurological background of ssMRPs which are typically studied by means of averaged electroencephalogram (EEG) signals. A simple feature extraction method is then suggested for single trial ssMRP processing. The Fisher’s linear discriminant (FLD) classifier is utilized here in order to test the proposed BCI. The novelty and promise of this approach is mainly in the application of rhythmic cues for BCI, the simple recording setup, and straightforward computations which make the real-time implementations plausible.

AB - Classification of the steady-state movement related potentials (ssMRP) is proposed here as a potential approach to real-time brain computer interfacing (BCI). We briefly review the neurological background of ssMRPs which are typically studied by means of averaged electroencephalogram (EEG) signals. A simple feature extraction method is then suggested for single trial ssMRP processing. The Fisher’s linear discriminant (FLD) classifier is utilized here in order to test the proposed BCI. The novelty and promise of this approach is mainly in the application of rhythmic cues for BCI, the simple recording setup, and straightforward computations which make the real-time implementations plausible.

M3 - Paper

SP - 220

EP - 225

T2 - 4th International Brain-Computer Interface Workshop and Training Course 2008

Y2 - 18 September 2008 through 21 September 2008

ER -

Steady-state movement related potentials for BCI – anexploratory approach in the STF domain

Abstract / Description of output

Workshop

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