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Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
Author(s) -
David A. Moses,
Sean L. Metzger,
Jessie R. Liu,
Gopala K. Anumanchipalli,
Joseph G. Makin,
Pengfei Sun,
Josh Chartier,
Maximilian E. Dougherty,
Patricia M. Liu,
Gary Abrams,
Adelyn Tu-Chan,
Karunesh Ganguly,
Edward F. Chang
Publication year - 2021
Publication title -
new england journal of medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.889
H-Index - 1030
eISSN - 1533-4406
pISSN - 0028-4793
DOI - 10.1056/nejmoa2027540
Subject(s) - neuroprosthetics , decoding methods , psychology , physical medicine and rehabilitation , audiology , speech recognition , neuroscience , computer science , medicine , telecommunications
Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of such patients may represent an advancement over existing methods for assisted communication.

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