Using contexts and R-R interval estimation in lossless ECG compression.
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.
Giurcăneanu
Ciprian Doru
CD
Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland.
Tăbuş
Ioan
I
Mereuţă
Serban
S
D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006321:Heart / Q000503:physiopathology*; D006801:Humans