title: Compression of electromyographic signals using image compression techniques.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, University of Brasília, DF, Brazil. chaffim@gmail.com
authors.forename: Marcus Vinícius Chaffim
authors.initials: MV
authors.lastname: Costa
authors.forename: Pedro de Azevedo
authors.initials: Pde A
authors.lastname: Berger
authors.forename: Adson Ferreira
authors.initials: AF
authors.lastname: da Rocha
authors.forename: João Luiz Azevedo
authors.initials: JL
authors.lastname: de Carvalho
authors.forename: Francisco Assis de Oliveira
authors.initials: FA
authors.lastname: Nascimento
mesh_terms: 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