New Brain-Computer Interface Restores Speech for ALS Patients with 97% Accuracy

UC Davis researchers achieve groundbreaking success, enabling paralyzed individuals to communicate effectively using advanced neuroprosthetics.

The interface translates brain signals into speech, offering real-time communication with minimal errors.
Casey Harrell, a 45-year-old ALS patient, experienced significant improvements in communication using the BCI.
The system uses microelectrode arrays to detect brain activity and convert it into speech units called phonemes.
Initial trials achieved 99.6% accuracy with a 50-word vocabulary, expanding to 125,000 words with 90.2% accuracy.
The technology has profound implications for enhancing the quality of life for individuals with severe speech impairments.