title: On EMG signal compression with recurrent patterns.
abstract: In this paper, the multidimensional multiscale parser (MMP) is employed for encoding electromyographic signals. The experiments were carried out with real signals acquired in laboratory and show that the proposed scheme is effective, outperforming even wavelet-based state-of-the-art schemes present in the literature in terms of percent root mean square difference x compression ratio.
authors.affiliation: Centro de Ciência, Tecnologia e Inovação do Pólo Industrial de Manaus, Manaus-AM 69057-040, Brazil. eddie@ctpim.org.br
authors.forename: Eddie B L
authors.initials: EB
authors.lastname: Filho
authors.forename: Eduardo A B
authors.initials: EA
authors.lastname: da Silva
authors.forename: Murilo B
authors.initials: MB
authors.lastname: de Carvalho
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted