Contribution of the Wavelet Analysis to the Noninvasive Electrocardiology

Today, various digital signal-processing methods are applied to the ECG to identify, extract, and analyze the different ECG signal components. In this large set of signal-processing tools, a new technique called wavelet transformation appears to be a promising method describing time and frequency characteristics of ECG waves. This article aims to provide an overview of the wavelet technique applied to the area of quantitative electrocardiology without describing mathematical details of the wavelet theories that can be found elsewhere.'-3 The first part of the article will give some rationale for the utilization of new ECG processing tools and a conceptual definition of the wavelet transformation. The second part will describe the contribution of the wavelet transformation in quantitative electrocardiology. This technique will be discussed and compared to the classic techniques using timedomain and frequency-domain measurements.

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