@inproceedings{2c8263c4e9cb45a28b2096472648286b,
title = "Beat reordering for optimal electrocardiogram signal compression using SPIHT",
abstract = "An effective electrocardiogram (ECG) signal compression method based on two-dimensional wavelet transform which employs set partitioning in hierarchical trees (SPIHT) and beat reordering technique is presented. This method utilizes the redundancy between adjacent samples and adjacent beats. Beat reordering rearranges beat order in 2D ECG array based on the similarity between adjacent beats. This rearrangement reduces variances between adjacent beats so that the 2D ECG array contains less high frequency component. The experiments on two datasets from MIT-BIH arrhythmia database revealed that the proposed method is more efficient for ECG signal compression in comparison with several previous proposed methods in literature. The experimental results show that the proposed method yields relatively low distortion at high compression rate.",
keywords = "ECG compression, multirate signal processing, set partitioning in hierarchical trees (SPIHT), wavelet transform",
author = "Isa, {Sani M.} and Wisnu Jatmiko and Arymurthy, {Aniati Murni}",
year = "2012",
doi = "10.1109/ICSMC.2012.6377704",
language = "English",
isbn = "9781467317146",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
pages = "226--231",
booktitle = "Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012",
note = "2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 ; Conference date: 14-10-2012 Through 17-10-2012",
}