Researchers from the University of California, Berkeley and San Francisco have developed a brain-computer interface that translates brain activity into speech with a minimal delay. In a study published in Nature Neuroscience, they reduced the lag from 8 seconds to just 1 second. The device was tested on a 47-year-old woman with quadriplegia, who previously communicated using a Tobii Dynavox at a rate of 14 words per minute. With the new device, her speech rate increased to a median of 47.5 words per minute, reaching 90 words per minute with a vocabulary of 50 words. The system uses an array of electrodes placed on the motor cortex to capture brain signals every 80 milliseconds. These signals are then decoded into speech using AI. The study, conducted from 2022 to 2024, marks a significant advancement in real-time communication for individuals with severe paralysis.
Source: www.statnews.com

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