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

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

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 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 - Volume 1: BIODEVICES, ISBN 978-989-758-490-9, pages 144-151. DOI: 10.5220/0010316101440151


in Bibtex Style

@conference{biodevices21,
author={D. 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 - Volume 1: BIODEVICES,},
year={2021},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010316101440151},
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 - 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 - 10.5220/0010316101440151