Recent Advances on Brain-Computer Interface Applications and Challenges in Stroke Rehabilitation

Haoqi Wang

2025

Abstract

Stroke is the severe diseases for patients and their families. For many patients, the post-stroke motor disability means a really tough way to go back to the normal lives and a heavy burden for the patients’ families. To treat the motor disability, the main strategy for increasing the primary motor cortex's activity through both medication and physical training is active motor training. However, those patients with severe motor disability may face difficulties when doing rehabilitation training as it is more difficult to track the rehabilitation process and observe outward improvements. Nowadays, the problem could be solved step by step with the assist of Brain-Computer Interface (BCI). Through translating the brain activity into specific signals and commands that guide the external devices, BCI can enhance the process of Motor Imagery and assist patients with specific feedback. This review summarize recent advances in stroke treatment with BCI and more applications.

Paper Citation

in Harvard Style

Wang H. (2025). Recent Advances on Brain-Computer Interface Applications and Challenges in Stroke Rehabilitation. In Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS; ISBN 978-989-758-789-4, SciTePress, pages 254-260. DOI: 10.5220/0014486100004933

in Bibtex Style

@conference{befs25,
author={Haoqi Wang},
title={Recent Advances on Brain-Computer Interface Applications and Challenges in Stroke Rehabilitation},
booktitle={Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS},
year={2025},
pages={254-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014486100004933},
isbn={978-989-758-789-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS
TI - Recent Advances on Brain-Computer Interface Applications and Challenges in Stroke Rehabilitation
SN - 978-989-758-789-4
AU - Wang H.
PY - 2025
SP - 254
EP - 260
DO - 10.5220/0014486100004933
PB - SciTePress