Title :
ECG data compression using wavelets and higher order statistics methods
Author :
Istepanian, Robert S H ; Hadjileontiadis, Leontios J. ; Panas, Stavros M.
Author_Institution :
Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK
fDate :
6/1/2001 12:00:00 AM
Abstract :
This paper evaluates the compression performance and characteristics of two wavelet coding compression schemes of electrocardiogram (ECG) signals suitable for real-time telemedical applications. The two proposed methods, namely the optimal zonal wavelet coding (OZWC) method and the wavelet transform higher order statistics-based coding (WHOSC) method, are used to assess the ECG compression issues. The WHOSC method employs higher order statistics (HOS) and uses multirate processing with the autoregressive HOS model technique to provide increasing robustness to the coding scheme. The OZWC algorithm used is based on the optimal wavelet-based zonal coding method developed for the class of discrete "Lipschitizian" signals. Both methodologies were evaluated using the normalized rms error (NRMSE) and the average compression ratio (CR) and bits per sample criteria, applied on abnormal clinical ECG data samples selected from the MIT-BIH database and the Creighton University Cardiac Center database. Simulation results illustrate that both methods can contribute to and enhance the medical data compression performance suitable for a hybrid mobile telemedical system that integrates these algorithmic approaches for real-time ECG data transmission scenarios with high CRs and low NRMSE ratios, especially in low bandwidth mobile systems.
Keywords :
data compression; electrocardiography; higher order statistics; medical signal processing; real-time systems; telemedicine; wavelet transforms; ECG data compression; MIT-BIH database; autoregressive HOS model; average compression ratio; electrocardiogram signals; low bandwidth mobile systems; medical data compression; multirate processing; normalized rms error; optimal zonal wavelet coding; real-time telemedicine; simulation; wavelet transform higher order statistics-based coding; Chromium; Data compression; Databases; Discrete wavelet transforms; Electrocardiography; Higher order statistics; Medical simulation; Real time systems; Robustness; Wavelet transforms; Algorithms; Electrocardiography; Telemedicine;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/4233.924801