DocumentCode
2726210
Title
An adaptive compression algorithm for ECG signals
Author
Arvinti, Beatrice ; Isar, Alexandru ; Costache, Marius
Author_Institution
Phys. Foundations of Eng., Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2011
fDate
21-22 Nov. 2011
Firstpage
91
Lastpage
95
Abstract
This paper presents a compression algorithm based on wavelets for electrocardiograms. Subband coding, an important feature of wavelet transforms, is exploited for the proposed method in order to enhance the compression ratio. The algorithm can be regarded as an adaptive one because several threshold levels are applied on the same signal. The results are accurate and the proposed compression system can be used to design a real-time remote monitoring system of the patient.
Keywords
data compression; electrocardiography; medical signal processing; wavelet transforms; ECG signals; adaptive compression algorithm; compression ratio; electrocardiograms wavelets; remote monitoring system; wavelet transforms; Compression algorithms; Discrete wavelet transforms; Electrocardiography; Image coding; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4577-0044-6
Type
conf
DOI
10.1109/CINTI.2011.6108478
Filename
6108478
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