New Brain-Computer Interface Converts Brain Signals Into Speech With up to 97% Accuracy

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New Brain-Computer Interface Converts Brain Signals Into Speech With up to 97% Accuracy
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UC Davis Health has developed a groundbreaking brain-computer interface that allows individuals with speech impairments, particularly those suffering from ALS, to communicate effectively., representing a significant breakthrough in neuroprosthetics. A clinical trial participant, Casey Harrell, who has ALS, successfully used the device to regain his ability to communicate.

Brandman is the co-principal investigator and co-senior author of this study. He is an assistant professor in the UC Davis Department of Neurological Surgery and co-director of the UC Davis Neuroprosthetics Lab. “We’re really detecting their attempt to move their muscles and talk,” explained neuroscientist Sergey Stavisky. Stavisky is an assistant professor in the Department of Neurological Surgery. He is the co-director of the UC Davis Neuroprosthetics Lab and co-principal investigator of the study. “We are recording from the part of the brain that’s trying to send these commands to the muscles.

At the first speech data training session, the system took 30 minutes to achieve 99.6% word accuracy with a 50-word vocabulary.

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