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New brain tech turns paralyzed patient’s thoughts into speech with 97% accuracy | This innovation deciphers brain signals when a person attempts to speak, converting them into text, which the computer then vocalizes.
A new brain-computer interface can translate ALS patient's brain signals to speech with 97% accuracy—the highest ever achieved yet.
“Our BCI technology helped a man with paralysis to communicate with friends, families and caregivers,” said David Brandman, UC Davis neurosurgeon and co-senior author of the study. Amyotrophic lateral sclerosis (ALS), often referred to as Lou Gehrig’s disease, disrupts the functioning of nerve cells responsible for controlling bodily movements. Casey Harrell trying the BCI system for the first time ( UC Regents)“We’re really detecting their attempt to move their muscles and talk,” explained neuroscientist Sergey Stavisky, co-principal investigator of the study.
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