Brain-Computer Interface Restores Speech for ALS Patient: Emotional Breakthrough

A man in the United States with ALS, a muscle degeneration disease, has successfully โ€œspokenโ€ using a brain-computer interface (BCI), bringing new hope to thousands who are unable to speak due to similar conditions.

Casey Harrell, 45, utilized the BCI, which interpreted his brain signals and converted them into text. This text was then spoken aloud by a computer with an impressive 97% accuracy, making this BCI the most accurate speech neuroprosthesis ever reported.

โ€œOur BCI technology enabled a man with paralysis to communicate with his loved ones and caregivers,โ€ said neurosurgeon David Brandman from the University of California, Davis, where the study took place. Brandman described the technology as โ€œthe most accurate speech neuroprosthesis ever reported.โ€

Harrell used the system for both prompted and spontaneous conversations, with real-time speech decoding, according to a release from UC Davis on Wednesday, August 15.

The decoded words were displayed on a screen and read aloud in a voice that closely resembled Harrellโ€™s pre-ALS voice. The voice was generated using software trained on existing audio samples of his voice before ALS affected him.

ย 

How the BCI Helped a Man with ALS โ€˜Speakโ€™

Before the experiment, Harrellโ€™s speech was difficult to understand, often requiring others to interpret for him. In July 2023, sensors from the BCI were implanted in Harrellโ€™s brain. These included four microelectrode arrays placed in the part of the brain responsible for coordinating speech, capable of recording brain activity from 256 cortical electrodes.

The researchers essentially โ€œlistenedโ€ to the part of Harrellโ€™s brain that was attempting to send commands to his speech muscles. โ€œWeโ€™re translating those patterns of brain activity into phonemesโ€”like syllables or units of speechโ€”and then into the words theyโ€™re trying to say,โ€ explained neuroscientist Sergey Stavisky. โ€œWeโ€™re detecting their attempt to move their muscles and talk.โ€

The brain signals were then interpreted by machine-learning programs within the device.

ย 

Why This Is a Breakthrough

This experiment represents a significant advancement for those who wish to speak but are unable to. โ€œPrevious speech BCI systems had frequent word errors, making it difficult for users to be consistently understood, which hindered communication,โ€ Brandman said. โ€œOur goal was to create a system that allows someone to be understood whenever they want to speak.โ€

โ€œThe first time we tried the system, Casey cried with joy as the words he was trying to say correctly appeared on-screen. We all did,โ€ said neuroscientist Sergey Stavisky, who participated in the study.

โ€œAt this point, we can decode what Casey is trying to say with about 97% accuracy,โ€ Brandman added.

โ€œIt has been incredibly rewarding to see Casey regain his ability to speak with his family and friends through this technology,โ€ said Nicholas Card, the studyโ€™s lead author.

ย 

Understanding ALS

ALS, also known as Lou Gehrigโ€™s disease, is a progressive disease that causes muscle degeneration. It gradually impairs the ability of nerve cells to control movement, leading to muscle weakness.

Over time, ALS patients lose the ability to stand, walk, and use their hands, and in some cases, it can also affect speech as it impacts the muscles and nerves responsible for speaking.

Check Also

Meta Faces EU Fine Threat Over Controversial Ad Model

Meta Platforms is facing renewed regulatory scrutiny from the European Commission over its advertising practices. โ€ฆ

Leave a Reply

Your email address will not be published. Required fields are marked *