Researchers at BrainGate developed a 97% accurate brain-computer interface for speech translation, benefiting ALS patients.
Researchers at the BrainGate consortium have developed a brain-computer interface (BCI) that has achieved up to 97% accuracy in translating brain signals into speech, providing significant breakthroughs for individuals with speech impairments caused by conditions such as ALS. The technology involves implanted sensors in the brain to interpret brain signals when a user attempts to speak, and has been published in the New England Journal of Medicine. The research led by neurosurgeon David Brandman and neuroscientist Sergey Stavisky from Brown University and UC Davis Health helped Casey Harrell, a 45-year-old person with ALS, communicate his intended speech effectively within minutes of activation, providing a substantial impact on his life and those facing similar challenges.