Using contexts and R-R interval estimation in lossless ECG compression.
Comput Methods Programs Biomed
; 67(3): 177-86, 2002 Mar.
Article
em En
| MEDLINE
| ID: mdl-11853943
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.
Buscar no Google
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Eletrocardiografia
/
Coração
Limite:
Humans
Idioma:
En
Revista:
Comput Methods Programs Biomed
Ano de publicação:
2002
Tipo de documento:
Article