Addison Paul S
CardioDigital Ltd, Elvingston Science Centre, East Lothian, UK.
Physiol Meas. 2005 Oct;26(5):R155-99. doi: 10.1088/0967-3334/26/5/R01. Epub 2005 Aug 8.
The wavelet transform has emerged over recent years as a powerful time-frequency analysis and signal coding tool favoured for the interrogation of complex nonstationary signals. Its application to biosignal processing has been at the forefront of these developments where it has been found particularly useful in the study of these, often problematic, signals: none more so than the ECG. In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.
近年来，小波变换已成为一种强大的时频分析和信号编码工具，特别适用于处理复杂的非平稳信号。它在生物信号处理中的应用一直处于这些发展的前沿，在研究这些通常存在问题的信号时，小波变换被证明特别有用，其中心电图（ECG）尤为突出。在这篇综述中，将详细讨论小波变换在心电图分析中日益重要的作用，同时依次介绍连续小波变换和离散小波变换。
