Function for Reading ECG Signals and Performing Wavelet Transform

MATLAB 975B 264 views 0 downloads 1 credits
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Resource Overview

This function reads ECG signals and identifies the modulus maxima sequence through wavelet transform, which is essential for detecting cardiac cycle characteristics in electrocardiogram analysis.

Detailed Documentation

This function is designed to read ECG signals and perform wavelet transform analysis to identify modulus maxima sequences. Wavelet transform is a signal processing technique that decomposes signals into different frequency sub-signals to extract meaningful information. In this implementation, the function employs wavelet decomposition to analyze ECG signals, specifically targeting the detection of modulus maxima points. These maxima are critical for identifying characteristic heartbeat patterns in ECG data, as they correspond to significant transient features in the signal. The algorithm typically involves applying a chosen wavelet base function (such as Daubechies wavelets), computing the wavelet coefficients across multiple scales, and then locating the local maxima points in the wavelet modulus representation. This process helps in robust feature extraction for applications like arrhythmia detection and heart rate variability analysis.

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