title: ECG signal compression based on Dc equalization and complexity sorting.
abstract: In this brief, we present new preprocessing techniques for electrocardiogram signals, namely, dc equalization and complexity sorting, which when applied can improve current 2-D compression algorithms. The experimental results with signals from the Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) database outperform the ones from many state-of-the-art schemes described in the literature.
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: Nuno M M
authors.initials: NM
authors.lastname: Rodrigues
authors.forename: Eduardo A B
authors.initials: EA
authors.lastname: da Silva
authors.forename: Sérgio M M
authors.initials: SM
authors.lastname: de Faria
authors.forename: Vitor M M
authors.initials: VM
authors.lastname: da Silva
authors.forename: Murilo B
authors.initials: MB
authors.lastname: de Carvalho
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted