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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. A., Aldridge, A., Jorge, C., Vourvopoulos, A., Figueiredo, P., Bermúdez i Badia and 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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