EEG and EMG dataset for the detection of errors introduced by an active orthosis device

Kueper, Niklas; Chari, Kartik; Bütefür, Judith; Habenicht, Julia; Rossol, Tobias; Kim, Su, Kyoung; Tabie, Marc; Kirchner, Frank; Kirchner, Elsa, Andrea

doi:10.3389/fnhum.2024.1304311

Article / Chapter Mon Jan 22 2024 CC BY 4.0

published

EEG and EMG dataset for the detection of errors introduced by an active orthosis device

Kueper, Niklas; Chari, Kartik ; Bütefür, Judith ; Habenicht, Julia ; Rossol, Tobias ; Kim, Su Kyoung; Tabie, Marc ; Kirchner, Frank ; Kirchner, Elsa Andrea

Preview

Category

Date Issued:

22.01.2024

URN:

urn:nbn:de:hbz:465-20240726-155136-2

DOI:

10.3389/fnhum.2024.1304311

Language:

English

Type of Resource:

Text

Keywords:

EEG; EMG; orthosis; dataset; error-related potential (ErrP); event-related potential (ERP); human-robot interaction (HRI), brain computer interface (BCI)

Collection:

E-Publications

Subject categories of the Deutsche Nationalbibliografie:

621.3 Electrical Engineering, Electronics

Hosting institution:

Faculty of Engineering, Engineering and Information Technology, Medical Technology Systems

funding:

The publication of this article was supported by the Publication Fund of the University of Duisburg-Essen.

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by the German Federal Ministry of Education and Research (BMBF) under the project M-ROCK (Grant No.: 01IW21002) and by the Institute of Medical Systems at the University of Duisburg-Essen.

Info on primary publication:

Kueper N, Chari K, Bütefür J, Habenicht J, Rossol T, Kim SK, Tabie M, Kirchner F and Kirchner EA (2024) EEG and EMG dataset for the detection of errors introduced by an active orthosis device. Front. Hum. Neurosci. 18:1304311. doi: 10.3389/fnhum.2024.1304311

Published 22 January 2024.

version identification: