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

Schwarz, A. (Speaker), Pereira, J. (Contributor), Lydia Lindner (Contributor), Müller-Putz, G. (Speaker)

Activity: Talk or presentationPoster presentationScience 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
Held at41st International Engineering in Medicine and Biology Conference
Event typeConference
LocationBerlin, Germany
Degree of RecognitionInternational

Keywords

  • Neuroscience (miscellaneous)
  • Human-Computer Interaction
  • Signal Processing
  • Human- & Biotechnology
  • Information, Communication & Computing
  • Basic - Fundamental (Grundlagenforschung)