title: Using contexts and R-R interval estimation in lossless ECG compression.
abstract: The paper presents a new lossless ECG compression scheme. The short-term predictor and the coder use conditioning on a small number of contexts. The long-term prediction is based on an algorithm for R-R interval estimation. Several QRS detection algorithms are investigated to select a low complexity and reliable detection algorithm. The coding of prediction residuals uses primarily the Golomb-Rice (GR) codes, but, to improve the coding results, escape codes GR-ESC are used in some contexts for a limited number of samples. Experimental results indicate the good overall performance of the lossless ECG compression algorithms (reducing the storage needs from 12 to about 3-4 bits per sample). The scheme consistently outperforms other waveform or general purpose coding algorithms.
authors.affiliation: Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland.
authors.forename: Ciprian Doru
authors.initials: CD
authors.lastname: Giurcăneanu
authors.forename: Ioan
authors.initials: I
authors.lastname: Tăbuş
authors.forename: Serban
authors.initials: S
authors.lastname: Mereuţă
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006321:Heart / Q000503:physiopathology*; D006801:Humans