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Authors: D. A. Blanco-Mora 1 ; A. Aldridge 1 ; C. Jorge 1 ; A. Vourvopoulos 2 ; P. Figueiredo 2 and S. Bermúdez i Badia 3 ; 1

Affiliations: 1 Madeira Interactive Techonologies Institute, Universidade da Madeira, Funchal, Portugal ; 2 Institute for Systems and Robotics - Lisboa, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal ; 3 Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, Funchal, Portugal

Keyword(s): Brain-computer Interface, BCI, Motor Imagery, MI, Classification Accuracy, Common Spatial Pattern, CSP, Electroencephalography, EEG, Neurorehabilitation, Stroke.

Abstract: Motor imagery classification using electroencephalography is based on feature extraction over a length of time, and different configurations of settings can alter the performance of a classifier. Nevertheless, there is a lack of standardized settings for motor imagery classification. This work analyzes the effect of age on motor imagery training performance for two common spatial pattern-based classifier pipelines and various configurations of timing parameters, such as epochs, windows, and offsets. Results showed significant (p ≤ 0.01) inverse correlations between performance and feature quantity, as well as between performance and epoch/window ratio.

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Paper citation in several formats:
Blanco-Mora, D.; Aldridge, A.; Jorge, C.; Vourvopoulos, A.; Figueiredo, P. and Bermúdez i Badia, S. (2021). Finding the Optimal Time Window for Increased Classification Accuracy during Motor Imagery. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 144-151. DOI: 10.5220/0010316100002865

@conference{biodevices21,
author={D. A. Blanco{-}Mora. and A. Aldridge. and C. Jorge. and A. Vourvopoulos. and P. Figueiredo. and S. {Bermúdez i Badia}.},
title={Finding the Optimal Time Window for Increased Classification Accuracy during Motor Imagery},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES},
year={2021},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010316100002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES
TI - Finding the Optimal Time Window for Increased Classification Accuracy during Motor Imagery
SN - 978-989-758-490-9
IS - 2184-4305
AU - Blanco-Mora, D.
AU - Aldridge, A.
AU - Jorge, C.
AU - Vourvopoulos, A.
AU - Figueiredo, P.
AU - Bermúdez i Badia, S.
PY - 2021
SP - 144
EP - 151
DO - 10.5220/0010316100002865
PB - SciTePress

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