A fMRI study of the cross-modal interaction in the brain with an adaptable EMG prosthetic hand with biofeedback.

Abstract

Mutual adaptation between man and machine is necessary for the development of more efficient devices that allows easy adaptation. The interaction with intelligent machines involves adaptation processes from both the user and the machine. The human body has the ability to change its body schema to include external tools in it, using this fact we proposed the design of intelligent machines with biofeedback to the user, permitting in this way, development of subconscious control of external devices. We propose the case of an EMG prosthetic hand with biofeedback to study the adaptation process between man-machine. Our system includes an EMG classification system to acquire the intended movement from the user. We use electrical stimulation as a provider of tactile feedback, to interact with the human body. We use a functional Magnetic Resonance Image study while using the prosthetic device while receiving biofeedback to measure the activation levels in the amputee's brain.