Finding the Optimal Time Window for Increased Classification Accuracy during Motor Imagery

D. A. Blanco-Mora, A. Aldridge, C. Jorge, A. Vourvopoulos, P. Figueiredo, S. Bermúdez i Badia, S. Bermúdez i Badia

2021

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.

Paper Citation

in Harvard Style

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) - Volume 1: BIODEVICES; ISBN 978-989-758-490-9, SciTePress, pages 144-151. DOI: 10.5220/0010316100002865

in Bibtex Style

@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) - Volume 1: BIODEVICES},
year={2021},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010316100002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 1: BIODEVICES
TI - Finding the Optimal Time Window for Increased Classification Accuracy during Motor Imagery
SN - 978-989-758-490-9
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