loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: D. 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

ISBN: 978-989-758-490-9

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.33.139

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

@conference{biodevices21,
author={D. A. Blanco{-}Mora. and A. Aldridge. and C. Jorge. and A. Vourvopoulos. and P. Figueiredo. and Bermúdez i Badia, S.},
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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.