Learning effects in 2D trajectory inference from low-frequency EEG signals over multiple feedback sessions

Hannah Pulferer, Brynja Ásgeirsdóttir, Valeria Mondini, Andreea Ioana Sburlea, Gernot Müller-Putz

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Recent research from our group has shown that non-invasive continuous online decoding of executed movement from non-invasive low-frequency brain signals is feasible. In order to cater the setup to actual end users, we proposed a new paradigm based on attempted movement and after con-
ducting a pilot study, we hypothesize that user control in this setup may be improved by learning over multiple sessions. Over three sessions within five days, we acquired 60-channel electroencephalographic (EEG) signals from nine able-bodied participants while having them track a moving target / trace depicted shapes on a screen. Though no global learning effect could be
identified, increases in correlations between target and decoded trajectories for approximately half of the participants could be observed.
Originalspracheenglisch
TitelProceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
UntertitelÖGBMT 2021
Herausgeber (Verlag)Verlag der Technischen Universität Graz
Seiten83-86
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2021
VeranstaltungÖGBMT Jahrestagung 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Österreich
Dauer: 30 Sept. 20211 Okt. 2021
https://oegbmt2021.tugraz.at/

Konferenz

KonferenzÖGBMT Jahrestagung 2021
KurztitelÖGBMT 2021
Land/GebietÖsterreich
OrtGraz
Zeitraum30/09/211/10/21
Internetadresse

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