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

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6 Author(s)
Costa, M.V.C. ; Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil ; Carvalho, J.L.A. ; Berger, P.A. ; Zaghetto, A.
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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.

Published in:

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Date of Conference:

3-6 Sept. 2009

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