Movements of the same upper limb can be classified from low-frequency time-domain EEG signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future
PublisherVerlag der Technischen Universität Graz
Pages69
Number of pages1
ISBN (Electronic)978-3-85125-467-9
DOIs
Publication statusPublished - 2016
Event6th International BCI Meeting - Pacific Grove, CA, Asilomar, United States
Duration: 30 May 20163 Jun 2016

Conference

Conference6th International BCI Meeting
CountryUnited States
CityAsilomar
Period30/05/163/06/16

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Experimental
  • Basic - Fundamental (Grundlagenforschung)

Cite this

Ofner, P., Schwarz, A., Pereira, J., & Müller-Putz, G. (2016). Movements of the same upper limb can be classified from low-frequency time-domain EEG signals. In Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future (pp. 69). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-467-9-69

Movements of the same upper limb can be classified from low-frequency time-domain EEG signals. / Ofner, Patrick; Schwarz, Andreas; Pereira, Joana; Müller-Putz, Gernot.

Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future. Verlag der Technischen Universität Graz, 2016. p. 69.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Ofner, P, Schwarz, A, Pereira, J & Müller-Putz, G 2016, Movements of the same upper limb can be classified from low-frequency time-domain EEG signals. in Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future. Verlag der Technischen Universität Graz, pp. 69, 6th International BCI Meeting , Asilomar, United States, 30/05/16. https://doi.org/10.3217/978-3-85125-467-9-69
Ofner P, Schwarz A, Pereira J, Müller-Putz G. Movements of the same upper limb can be classified from low-frequency time-domain EEG signals. In Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future. Verlag der Technischen Universität Graz. 2016. p. 69 https://doi.org/10.3217/978-3-85125-467-9-69
Ofner, Patrick ; Schwarz, Andreas ; Pereira, Joana ; Müller-Putz, Gernot. / Movements of the same upper limb can be classified from low-frequency time-domain EEG signals. Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future. Verlag der Technischen Universität Graz, 2016. pp. 69
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