Compression of electromyographic signals using image compression techniques.
Despite the growing interest in the transmission and storage of electromyographic signals for long periods of time, few studies have addressed the compression of such signals. In this article we present an algorithm for compression of electromyographic signals based on the JPEG2000 coding system. Although the JPEG2000 codec was originally designed for compression of still images, we show that it can also be used to compress EMG signals for both isotonic and isometric contractions. For EMG signals acquired during isometric contractions, the proposed algorithm provided compression factors ranging from 75 to 90%, with an average PRD ranging from 3.75% to 13.7%. For isotonic EMG signals, the algorithm provided compression factors ranging from 75 to 90%, with an average PRD ranging from 3.4% to 7%. The compression results using the JPEG2000 algorithm were compared to those using other algorithms based on the wavelet transform.
Costa
Marcus Vinícius Chaffim
MV
Department of Electrical Engineering, University of Brasília, DF, Brazil. chaffim@gmail.com
Berger
Pedro de Azevedo
Pde A
da Rocha
Adson Ferreira
AF
de Carvalho
João Luiz Azevedo
JL
Nascimento
Francisco Assis de Oliveira
FA
D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004576:Electromyography / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007537:Isometric Contraction; D015233:Models, Statistical; D009119:Muscle Contraction / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted