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. 2009:2009:428-31.
doi: 10.1109/IEMBS.2009.5333134.

Two-dimensional compression of surface electromyographic signals using column-correlation sorting and image encoders

Marcus V C Costa  1 , Joao L A Carvalho, Pedro A Berger, Alexandre Zaghetto, Adson F da Rocha, Francisco A O Nascimento
Affiliations

Two-dimensional compression of surface electromyographic signals using column-correlation sorting and image encoders

Marcus V C Costa et al. Annu Int Conf IEEE Eng Med Biol Soc. 2009.

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.

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