New self-learning prosthetic arm controlled by owner’s brain signals

TOMSK, Russia, June 22 (UPI) — The most maneuverable prosthetic arms require the attachment of a traction belt to the owner’s shoulder. In addition to being cumbersome, users must contort their body into unnatural positions to trigger certain motions. Researchers at Tomsk Polytechnic University in Russia are working on a prosthetic arm that learns from the user’s brain signals and anticipates expected movements. Scientists are perfecting a prototype. They say the final product will be able to perform the full range of motions of a healthy arm. The human brain sends myoelectric signals to muscles to trigger an expected motion. Researchers have designed an algorithm to analyze myoelectric signals and anticipate the expected motion of the user. “Initially, software will be universal, but we will adapt it to each specific…


Link to Full Article: New self-learning prosthetic arm controlled by owner’s brain signals