4 channel signal based FPGA architecture for myolectric features extraction by H.O.S.

In this paper, an FPGA-based parallel architecture for the computation of myoelectric signal feature extraction, employing higher order statistics in presented. The three channels myoelectric signal is obtained directly from the user´s muscles, in order to obtain prosthesis movement commands which emulate a biological elbow. The proposed architecture was realized in Very High Speed Integrated Circuit (BHSIC) by Hardware Description Language (VHDL), and functionally verified on a Xilinx board, which uses a Spartan-3 XC3S700AN FG48-4 FPGA. Experimental results are presented, and establish a maximum operation frequency of 44.570MHz.