loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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.

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 18.222.92.56

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:
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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic