Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
Roman Mouček, Jakub Kodera, Pavel Mautner, Jaroslav Průcha
2024
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.
DownloadPaper Citation
in Harvard Style
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 - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 812-819. DOI: 10.5220/0012575700003657
in Bibtex Style
@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 - Volume 2: HEALTHINF},
year={2024},
pages={812-819},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012575700003657},
isbn={978-989-758-688-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
SN - 978-989-758-688-0
AU - Mouček R.
AU - Kodera J.
AU - Mautner P.
AU - Průcha J.
PY - 2024
SP - 812
EP - 819
DO - 10.5220/0012575700003657
PB - SciTePress