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Authors: Anett Seeland 1 ; Laura Manca 2 ; Frank Kirchner 3 and Elsa Andrea Kirchner 3

Affiliations: 1 Robotics Innovation Center (RIC) and German Research Center for Artificial Intelligence (DFKI GmbH), Germany ; 2 University of Bremen, Germany ; 3 Robotics Innovation Center (RIC), German Research Center for Artificial Intelligence (DFKI GmbH) and University of Bremen, Germany

ISBN: 978-989-758-069-7

Keyword(s): Movement Prediction, ERD/ERS, MRCP, Brain-computer Interface, BCI.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Motion Control ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In brain-computer interfaces (BCIs) based on electroencephalography (EEG), two distinct types of EEG patterns related to movement have been used for detecting the brain’s preparation for voluntary movements: a) event-related patterns in the time domain named movement related cortical potentials (MRCPs) and b) patterns in the frequency domain named event-related desynchronization/synchronization (ERD/ERS). The applicability of those patterns in BCIs is often evaluated by the classification performance. To this end, the known spatio-temporal differences in EEG activity can be of interest, since they might influence the classification performance of the two different patterns. In this paper, we compared the classification performance based on ERD/ERS and MRCP while varying the time point of prediction as well as the used electrode sites. Empirical results were obtained from eight subjects performing voluntary right arm movements. Results show: a) classification based on MRCP is superior compared to ERD/ERS close to the movement onset whereas the opposite results farther away from the movement onset, b) the performance maximum of MRCP is located at central electrodes whereas it is at fronto-central electrodes for ERD/ERS. In summary, the results contribute to a better insight into the spatial and temporal differences between ERD/ERS and MRCP in terms of prediction performance. (More)

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Paper citation in several formats:
Seeland, A.; Manca, L.; Kirchner, F. and Kirchner, E. (2015). Spatio-temporal Comparison between ERD/ERS and MRCP-based Movement Prediction.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 219-226. DOI: 10.5220/0005214002190226

@conference{biosignals15,
author={Anett Seeland. and Laura Manca. and Frank Kirchner. and Elsa Andrea Kirchner.},
title={Spatio-temporal Comparison between ERD/ERS and MRCP-based Movement Prediction},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={219-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005214002190226},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Spatio-temporal Comparison between ERD/ERS and MRCP-based Movement Prediction
SN - 978-989-758-069-7
AU - Seeland, A.
AU - Manca, L.
AU - Kirchner, F.
AU - Kirchner, E.
PY - 2015
SP - 219
EP - 226
DO - 10.5220/0005214002190226

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