Title :
Wavelet and wavelet packet compression of electrocardiograms
Author :
Hilton, Michael L.
Author_Institution :
Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
fDate :
5/1/1997 12:00:00 AM
Abstract :
Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG´s by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG´s are clinically useful.
Keywords :
data compression; electrocardiography; medical signal processing; wavelet transforms; 16:1 compression; 8:1 compression; ECG signals; Holter ECG data; blind evaluation; electrocardiograms; embedded zerotree wavelet coding; signal compression; wavelet compression; wavelet packet compression; Cardiology; Compression algorithms; Data compression; Electrocardiography; Filters; Helium; Signal analysis; Wavelet analysis; Wavelet packets; Wavelet transforms; Algorithms; Electrocardiography; Electrocardiography, Ambulatory; Humans; Pilot Projects; Signal Processing, Computer-Assisted; Tachycardia, Supraventricular; Tachycardia, Ventricular;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
