Application of real-time machine learning to myoelectric prosthesis control: A case series in adaptive switching

摘要

Background: Myoelectric prostheses currently used by amputees can be difficult to control. Machine learning, and in particular learned predictions about user intent, could help to reduce the time and cognitive load required by amputees while operating their prosthetic device.