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
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;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-0044-6
DOI :
10.1109/CINTI.2011.6108478
