Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months

Abstract Brain‐computer interfaces (BCIs) can be used to control assistive devices by patients with neurological disorders like amyotrophic lateral sclerosis (ALS) that limit speech and movement. For assistive control, it is desirable for BCI systems to be accurate and reliable, preferably with mini...

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Bibliographic Details
Main Authors: Shiyu Luo, Miguel Angrick, Christopher Coogan, Daniel N. Candrea, Kimberley Wyse‐Sookoo, Samyak Shah, Qinwan Rabbani, Griffin W. Milsap, Alexander R. Weiss, William S. Anderson, Donna C. Tippett, Nicholas J. Maragakis, Lora L. Clawson, Mariska J. Vansteensel, Brock A. Wester, Francesco V. Tenore, Hynek Hermansky, Matthew S. Fifer, Nick F. Ramsey, Nathan E. Crone
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Advanced Science
Subjects:
amyotrophic lateral sclerosis (ALS)
brain‐computer interfaces
neural decoding
speech brain‐computer interface (BCI)
Online Access:https://doi.org/10.1002/advs.202304853

Internet

https://doi.org/10.1002/advs.202304853

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