ADVANCED WAVELET TRANSFORM TECHNIQUES FOR ECG FEATURE EXTRACTION

Abstract

Existing life care systems simply monitor human health and rely on a centralized server to store and process sensed data, leading to a high cost of system maintenance, yet with limited services and low performance. One of the important parameter in health Monitoring is ECG and Wireless ECG acquisition has emerged as a comfortable low-cost technology for continuous Cardiac Monitoring. The analysis of ECG is widely used for diagnosing many cardiac diseases, which are the main cause mortality in developed countries. Wireless ECG sensors have been employed to monitor human health and provide life care services. We present a scheme for ECG feature extraction for capturing ECG signals that will be compared with standard database in real time by using either curvelets or shapelets. Among the various techniques developed for ECG extraction time domain analysis, frequency domain analysis and wavelet transform are predominant techniques. The new advanced Wavelet Transform specially designed for image processing like shapelets, ridgelets can give more accurate results than conventional Waveform Techniques. It is also proposed to develop this system which is compatible with various Devices such as Desktop Computers, PDA and smart phones.