A Detection and Analysis System of ECG Signals Based on Wavelet Entropy

Guest Editor Huier Liu (North China University of Water Resources and Electric Power, China)

In order to remove the noise of ECG signals and extract their characteristics, a new detection and analysis system based on wavelet entropy is proposed. We outline the theory of wavelet transform, the method of ECG feature extraction based on wavelet entropy application, and using Matlab programming, we design an automatic extraction system of ECG signal features with MATLAB GUI interface, including ECG signal detection, amplification, denoising and feature extraction. Test results show the system can complete the detection of ECG signal, amplification, denoising, feature extraction, and achieve automatic extraction of ECG signal feature points. The clinical ECG has an excellent practical value.

Journal: International Journal of Simulation: Systems, Science & Technology, IJSSST V17

Published: Jan 21, 2016

DOI: 10.5013/IJSSST.a.17.03.21