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.
Year
DOI
Venue
2002
10.1016/S0169-2607(01)00126-2
Computer Methods and Programs in Biomedicine
Keywords
DocType
Volume
Lossless coding,R–R interval,Context coding,Escape codes
Journal
67
Issue
ISSN
Citations 
3
0169-2607
12
PageRank 
References 
Authors
3.09
5
3
Name
Order
Citations
PageRank
Ciprian Doru Giurcaneanu14312.44
Ioan Tabus227638.23
Serban Mereula3123.09