Research progress of brain-computer interface applied in the rehabilitation of dysarthria and speech function in amyotrophic lateral sclerosis

With the development of brain science research, artificial intelligence technologies such as brain-computer interface (BCI) have begun to be applied in the medical field. People with advanced amyotrophic lateral sclerosis (ALS) lose voluntary control, including the ability to communicate. For ALS patients, BCI research focuses on communication. BCI technology can be used as a communication tool. It records and extracts features of brain signals and translates these features into commands that can be replaced, restored, enhanced, supplemented, or improved by the central nervous system. Some BCIs have been shown to have potential spillover for ALS patients. However, there are still some challenges that need to be addressed before BCI can be clinically useful.

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Publication Details

Journal
Journal of Aging and Rehabilitation
Published
2024-12-01
DOI
https://doi.org/10.1097/jagr.0000000000000022
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Research progress of brain-computer interface applied in the rehabilitation of dysarthria and speech function in amyotrophic lateral sclerosis

Xianwei Zeng, Lizhu Liu
Journal of Aging and Rehabilitation
EEG and Brain-Computer Interfaces
article

Research progress of brain-computer interface applied in the rehabilitation of dysarthria and speech function in amyotrophic lateral sclerosis

Xianwei Zeng, Lizhu Liu
article en

Abstract

With the development of brain science research, artificial intelligence technologies such as brain-computer interface (BCI) have begun to be applied in the medical field. People with advanced amyotrophic lateral sclerosis (ALS) lose voluntary control, including the ability to communicate. For ALS patients, BCI research focuses on communication. BCI technology can be used as a communication tool. It records and extracts features of brain signals and translates these features into commands that can be replaced, restored, enhanced, supplemented, or improved by the central nervous system. Some BCIs have been shown to have potential spillover for ALS patients. However, there are still some challenges that need to be addressed before BCI can be clinically useful.

Journal of Aging and RehabilitationVol. 1(4)
National Research Center for Rehabilitation Technical Aids (CN)
Quality Education
Openalex Percentile: Top 76%
EEG and Brain-Computer Interfaces
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