A less invasive brain-computer interface is being developed to help people with impaired speech, including ALS, communicate.

Anew brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97 percent accuracy — the most accurate system of its kind. The researchers implanted ...

University of California, Davis researchers have developed a brain-computer interface (BCI) that enables computer cursor control and clicking, using neural signals from the speech motor cortex. One ...

A groundbreaking study published in the New England Journal of Medicine has demonstrated the remarkable potential of brain-computer interface (BCI) technology to restore communication in individuals ...

A Bay Area man with ALS can now communicate, all thanks to a computer linked to his brain. Casey Harrell has ALS and can't speak, but a new Brain-Computer Interface developed by researchers at UC ...

A man who struggled to even speak due to ALS communicated with his family at a speed of 56 words per minute at home. Although slower than typical conversation, it was fast enough for real-time ...

Brain-computer interfaces are a groundbreaking technology that can help paralyzed people regain functions they’ve lost, like moving a hand. These devices record signals from the brain and decipher the ...

An advanced brain-computer interface (BCI) that can translate brain signals into speech with up to 97% accuracy, has restored the speech of a man with amyotrophic lateral sclerosis (ALS). "Previous ...

(Reuters) - A man with amyotrophic lateral sclerosis (ALS) who had lost his ability to speak has been able to communicate with a Blackrock Neurotech text-to-speech brain implant, researchers said in ...

Casey Harrell, a man with the progressive muscle disease amyotrophic lateral sclerosis (ALS), reacts to using a brain-computer interface to 'speak' for the first time. The device interprets brain ...

A new brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97% accuracy—the most accurate system of its kind. The researchers implanted sensors ...