International Journal of Engineering and Technology

In this paper, we are conducting an evaluation the compression of electromyographic signals (EMG) through of standard modified JPEG 2000 called 1D. We illustrate that; this method can also be used to compress EMG signals. The technique consists of cutting the signal into small segments or micro vectors. The EMG signal compression through this method aims at solving the problems of transmission and optimizes storage. A comparison of the results obtained with those of the literature shows a net improvement. The results obtained on real signals are presented in terms of the objective criteria of evaluating performance.