A preliminary study of steady-state visually-evoked potential-based non-invasive brain-computer interface technology as a communication aid for patients with amyotrophic lateral sclerosis
The study found that SSVEP-based non-invasive BCI technology has promising potential as a communication aid for ALS patients. While further algorithm optimization and comprehensive studies with larger sample sizes are necessary, the initial findings are encouraging, and could lead to the development of more effective communication solutions that are specifically tailored to address the challenges faced by ALS patients.
Authors
- Xiaorong Gao (ORCID: https://orcid.org/0000-0003-0499-2740)
- Haolin Wu (ORCID: https://orcid.org/0000-0001-5006-3585)
- Jia-Yu Fu
- Nanlin Shi (ORCID: https://orcid.org/0000-0002-2516-164X)
- Xiaomei Shen (ORCID: https://orcid.org/0000-0002-7851-9959)
- Xinyu Zhang (ORCID: https://orcid.org/0000-0002-3635-7015)
- Liping Wang (ORCID: https://orcid.org/0000-0003-3049-9917)
- Chen Yang (ORCID: https://orcid.org/0000-0003-4623-8578)
Institutions
- Peking University (CN)
- Peking University Third Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-1643
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00