Electromyographic signal compression based on two-dimensional techniques

This paper presents an Investigation regarding the performance of video and image encoders, when applied to the compression of surface electromyographic signals. In addition, a new preprocessing technique is introduced, called euclidean distance sorting (EDS), which has the potential to increase the exploitation of intersegment correlations. The experiments were carried out with real isometric records, which were first preprocessed and then compressed with the JPEG2000, H.264/AVC, and high efficiency video coding (HEVC) algorithms. It is clear that the proposed scheme is effective, given that the combination of EDS and JPEG2000 or HEVC even outperform state-of-the-art schemes present in the literature.