title: Matrix completion based ECG compression.
abstract: An innovative electrocardiogram compression algorithm is presented in this paper. The proposed method is based on matrix completion, a new paradigm in signal processing that seeks to recover a low-rank matrix based on a small number of observations. The low-rank matrix is obtained via normalization of electrocardiogram records. Using matrix completion, the ECG data matrix is recovered from a few number of entries, thereby yielding high compression ratios comparable to those obtained by existing compression techniques. The proposed scheme offers a low-complexity encoder, good tolerance to quantization noise, and good quality reconstruction.
authors.affiliation: Dept of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. polania@eecis.udel.edu
authors.forename: Luisa F
authors.initials: LF
authors.lastname: Polania
authors.forename: Rafael E
authors.initials: RE
authors.lastname: Carrillo
authors.forename: Manuel
authors.initials: M
authors.lastname: Blanco-Velasco
authors.forename: Kenneth E
authors.initials: KE
authors.lastname: Barner
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted