Brain-Computer Interface-Assisted Language Rehabilitation Technology for Aphasia Patients

Wenhang Ren

2025

Abstract

This paper aims to explore the application of Brain - Computer Interfaces (BCIs) in aphasia rehabilitation following stroke. BCIs facilitate communication by decoding brain activity and providing real - time feedback, showing potential in improving language abilities in aphasia patients. The paper focuses on the use of visual P300 paradigms, which have demonstrated success in enhancing naming and sentence repetition skills. It also explores the integration of BCIs with other therapeutic methods, such as Virtual Reality (VR) and non - invasive brain stimulation (NIBS), which enhance rehabilitation outcomes. Despite these promising advancements, challenges such as signal reliability, data privacy concerns, and the high cost and accessibility barriers of BCI devices remain significant obstacles to their clinical application. The paper emphasizes the need for further research to develop more reliable signal acquisition methods, improve data security, and create cost - effective solutions to facilitate the widespread adoption of BCI technology in aphasia rehabilitation. By addressing these limitations, BCIs hold the potential to provide more efficient and personalized rehabilitation therapies, significantly improving the language abilities and quality of life for aphasia patients.

Paper Citation

in Harvard Style

Ren W. (2025). Brain-Computer Interface-Assisted Language Rehabilitation Technology for Aphasia Patients. In Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS; ISBN 978-989-758-789-4, SciTePress, pages 16-20. DOI: 10.5220/0014299500004933

in Bibtex Style

@conference{befs25,
author={Wenhang Ren},
title={Brain-Computer Interface-Assisted Language Rehabilitation Technology for Aphasia Patients},
booktitle={Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS},
year={2025},
pages={16-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014299500004933},
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 - Brain-Computer Interface-Assisted Language Rehabilitation Technology for Aphasia Patients
SN - 978-989-758-789-4
AU - Ren W.
PY - 2025
SP - 16
EP - 20
DO - 10.5220/0014299500004933
PB - SciTePress