Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions

  • Andreas Schwarz (Speaker)
  • Joana Pereira (Contributor)
  • Lydia Lindner (Contributor)
  • Müller-Putz, G. (Speaker)

Activity: Talk or presentation › Poster presentation › Science to science

Description

Recent studies have shown that complex hand movements, such as reach-and grasp tasks, can be decoded from low frequency activity of the electroencephalogram (EEG). In this work we investigated whether additional features extracted from the frequency domain of alpha and beta bands could improve classification performance of rest vs. palmar vs. lateral grasp.
Period25 Jul 2019
Event title41st Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: EMBC 2019
Event typeConference
Conference number41
LocationBerlin, Germany, BerlinShow on map
Degree of RecognitionInternational

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Human-Computer Interaction
  • Signal Processing

Fields of Expertise

  • Human- & Biotechnology
  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Documents & Links

  • EMBC19

    File: application/pdf, 319 KB

    Type: Text