A brain-computer interface was found in a small study of people with ALS, and it allowed participants to use computers to communicate through text and actions. everyday like online shopping and banking, according to the first study released today, March 29, 2022, which will be presented at the 74th American Center for Neurology Studies.th Annual in-person conference is held in Seattle, April 2 to 7, 2022 and approximately, April 24 to 26, 2022.
ALS is a progressive neurodegenerative disease that affects nerve cells in the brain and spine. People with ALS lack the ability to initiate and control muscle tone, which often results in cramping.
“People with ALS eventually lose the ability to move their limbs, making it impossible for them to control devices such as phones or computers,” said study author Bruce Campbell, MD, MS, of the University of Melbourne. in Australia and a member of the American College. and Neurology. “Our research it is interesting because while some devices require surgery that involves opening the skull, this compact device is less risky. He accepts electronic signal from computers, allowing people to control computers by thinking. “
For the study, four ALS patients underwent implant placement in the brain. The cerebral cortex is fed through one of the two nerve endings in the neck to the main blood vessel in the brain. The device, which consists of a web-like object with 16 sensor sensors, expands the vessel wall line. This device is connected to an electronic device in the chest that transmits the signal from motor skillsthe part of the brain that produces the signal for movement, in order to a laptop.
Researchers monitored participants for one year and found the device was safe. There were no serious adverse events leading to disability or death. The device was in place for all four people and the blood supply to the device was kept open.
The researchers also examined whether participants could use it computer-computer interface to perform routine digital tasks. All participants learned how to use the device along with eye monitoring to use the computer. Visual imaging technology helps a computer know what a person is looking at.
The researchers also reported that the diagnostic tool developed during the study allowed the study participants to control the computer itself without the detection device. The machine learning device is designed as follows: when the trainer asks the participants to try other movements, such as touching their feet or stretching, the operator examines the nerve signals from these movement movements. The launcher is able to translate the motion signal into a computer circuit.
“Our research is still fresh, but it has great promise for people with disabilities who want to continue to be independent,” Campbell said. “We are continuing this research in Australia and in the United States in large groups of people.”
Specific research is the small size of the study.
American Academy of Neurology
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