FPGA-based acceleration of high density myoelectric signal processing

In recent years, advances in electromyographic (EMG) sensor technology and machine learning algorithms have led to an increased research effort into high density EMG based pattern recognition methods for prosthesis control. With the goal set on an autonomous multi-movement prosthesis that is capable of performing training and classification of an amputee's EMG signals, the focus of this paper lies in the acceleration of the embedded signal...