Title :
Lossless compression of ECG signals
Author :
Arnavut, Ziya ; Plaku, Erion
Abstract :
In this paper the authors study the compression techniques for electrocardiogram (ECG) signals based on Block Sorting Techniques. They introduce a new and faster block transformation than the Burrows and Wheeler Transformation (BWT), and later compare them for ECG data compression. They show that their algorithm yields better compression gain than the Burrows and Wheeler´s algorithm (BWA), Gzip and the Shorten waveform coder for lossless ECG data compression
Keywords :
data compression; electrocardiography; medical signal processing; Block Sorting Techniques; Burrows-Wheeler´s algorithm; ECG signals; Gzip; Shorten waveform coder; electrodiagnostics; faster block transformation; lossless compression; Biomedical computing; Compression algorithms; Data compression; Digital systems; Electrocardiography; Image coding; Sorting;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802344
