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Authors: Roman Mouček 1 ; Jakub Kodera 1 ; Pavel Mautner 1 and Jaroslav Průcha 2

Affiliations: 1 Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Univerzitní 8, Plzeň, Czech Republic ; 2 Department of Information and Communication Technologies in Medicine, Faculty of Biomedical Engineering, Czech Technical University, nám. Sítná 3105, Kladno, Czech Republic

Keyword(s): Brain-Computer Interface, Data Augmentation, Deep Learning, Electroencephalography, Motor Imagery, Robot-Assisted Rehabilitation.

Abstract: Brain-controlled robot-assisted rehabilitation is a promising approach in healthcare that can potentially and in parallel improve and partly automate the rehabilitation of motor apparatus and related brain structures responsible for movement. However, building a real-world rehabilitation system has many challenges and limitations. One of these challenges is the small size of the data that can be collected from the target group of people recovering from injured motor functions to train deep learning models recognizing motor imagery patterns. Therefore, the primary experiments with data augmentation and classification results over the collected and augmented dataset are presented.

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Paper citation in several formats:
Mouček, R.; Kodera, J.; Mautner, P. and Průcha, J. (2024). Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 812-819. DOI: 10.5220/0012575700003657

@conference{healthinf24,
author={Roman Mouček. and Jakub Kodera. and Pavel Mautner. and Jaroslav Průcha.},
title={Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2024},
pages={812-819},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012575700003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
SN - 978-989-758-688-0
IS - 2184-4305
AU - Mouček, R.
AU - Kodera, J.
AU - Mautner, P.
AU - Průcha, J.
PY - 2024
SP - 812
EP - 819
DO - 10.5220/0012575700003657
PB - SciTePress

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