Two-dimensional compression of surface electromyographic signals using column-correlation sorting and image encoders.
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.
Costa
Marcus V C
MV
Department of Electrical Engineering, University of Brasília, Brasília, DF, 70910-900, Brazil. chaffim@gmail.com
Carvalho
Joao L A
JL
Berger
Pedro A
PA
Zaghetto
Alexandre
A
da Rocha
Adson F
AF
Nascimento
Francisco A O
FA
D000328:Adult; D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008297:Male; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic