Title :
ECG signal compression using wavelets. Preliminary results
Author :
Arvinti, Beatrice ; Nafornita, Corina ; Alexandru, Isar ; Costache, Marius
Author_Institution :
Dept. of Phys. Foundations of Eng., Politeh. Univ. of Timisoara, Timisoara, Romania
fDate :
June 30 2011-July 1 2011
Abstract :
The ECGs transmission problem becomes actual nowadays due to the tremendous progress in communications. One of the major aspects of the transmission is the source coding (compression). The wavelet theory becomes a tool frequently used in compression. The aim of this paper is a very fast compression algorithm based on wavelets. Some simulation results prove the performance of the proposed algorithm.
Keywords :
electrocardiography; medical signal processing; source coding; ECG; signal compression; source coding; wavelet theory; Compression algorithms; Discrete wavelet transforms; Electrocardiography; Encoding; Noise reduction; Quantization; Wavelet coefficients;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Conference_Location :
lasi
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978766
