Movement Decoding from EEG: Target or Direction?

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Abstract

Arm movements have already been decoded non-invasively from electroencephalography (EEG) signals. In this study we analyzed whether the target or the movement direction of the arm can be decoded from the EEG. Ten healthy subjects executed right arm movements to one out of two targets and simultaneously received feedback on a computer screen. We then inverted the feedback movements to analyze if the EEG carries information about the target or about the movement direction. We found two groups, one encoding the target and one encoding first the movement direction followed by the target. These findings are relevant for the development of future motor neuroprostheses and non-invasive robotic arm control.
Original languageEnglish
Title of host publication Proceedings of the 7th Graz Brain-Computer Interface Conference 2017
PublisherVerlag der Technischen Universität Graz
Pages344-348
Number of pages5
ISBN (Electronic)978-3-85125-533-1
Publication statusPublished - 18 Sep 2017
Event7th Graz BCI Conference 2017: From Vision to Reality - Graz, Austria
Duration: 18 Sep 201722 Sep 2017

Conference

Conference7th Graz BCI Conference 2017
CountryAustria
CityGraz
Period18/09/1722/09/17

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

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  • Cite this

    Müller-Putz, G., Peicha, L., & Ofner, P. (2017). Movement Decoding from EEG: Target or Direction? In Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 (pp. 344-348). Verlag der Technischen Universität Graz.