Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

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.
In a person with anarthria and spastic quadriparesis caused by a brain-stem stroke, words and sentences were decoded directly from cortical activity during attempted speech with the use of deep-learning models and a natural-language model.
Author(s) Source
Moses DA, Metzger SL, Liu JR et al. The New England Journal of Medicine, July 15, 2021,
N Engl J Med 2021; 385:217-227, DOI: 10.1056/NEJMoa2027540
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