This breakthrough technology could greatly improve the quality of life for people suffering from motor disorders that affect their ability to speak. Current communication tools are slow and cumbersome, but this brain-computer interface has the potential to provide a faster and more efficient method of communication.
Duke neuroscientists, neurosurgeons, and engineers have collaborated to develop a speech prosthetic that can interpret brain signals into speech.
The current speech decoding rate is only around 78 words per minute, while people typically speak at a rate of 150 words per minute.
The new implant developed by the researchers contains 256 microscopic brain sensors packed onto a small, flexible plastic sheet.
The higher density of sensors helps distinguish signals from neighboring brain cells and improves the accuracy of speech predictions.
The researchers conducted tests with four patients undergoing brain surgery for other conditions, recording brain activity as the patients performed a listen-and-repeat activity.
A machine learning algorithm was used to analyze the brain activity and predict the sounds being made, achieving an accuracy of 40% with just 90 seconds of spoken data.
The team plans to develop a wireless version of the device, allowing for greater mobility and convenience.
While the brain-to-speech prosthetic is still slower than natural speech, the progress made by the Duke University researchers is promising. Further development and refinement of the technology could eventually lead to a more efficient and natural method of communication for individuals with speech impairments due to neurological disorders.