| Literature DB >> 19963967 |
Marcus V C Costa1, Joao L A Carvalho, Pedro A Berger, Alexandre Zaghetto, Adson F da Rocha, Francisco A O Nascimento.
Abstract
We present a new preprocessing technique for two-dimensional compression of surface electromyographic (S-EMG) signals, based on correlation sorting. We show that the JPEG2000 coding system (originally designed for compression of still images) and the H.264/AVC encoder (video compression algorithm operating in intraframe mode) can be used for compression of S-EMG signals. We compare the performance of these two off-the-shelf image compression algorithms for S-EMG compression, with and without the proposed preprocessing step. Compression of both isotonic and isometric contraction S-EMG signals is evaluated. The proposed methods were compared with other S-EMG compression algorithms from the literature.Mesh：
Year: 2009 PMID： 19963967 DOI： 10.1109/IEMBS.2009.5333134
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X