International Journal of Innovative Research and Development

M. J. Vidya , D. Kavya

Abstract

Ischemia is a restriction in the blood supply to tissues causing a storage of oxygen and glucose needed for cellular metabolism. It is considered to be the major complication of the cardiac function, and a prime cause for the occurrence of cardiac infarction and dangerous cardiac arrhythmias. Several mathematical transforms have been applied to ECG for ischemia detection such as Discrete cosine transform (DCT),discrete fourier transform (DFT) or RMS different series. Wavelet transforms shows good learning and detection capabilities which is an efficient tool to deal with uncertainities. Algorithm is presented in order to detect ischemia diseases in Electrocardiogram (ECG) signals. The techniques used comprise of signal preprocessing, feature extraction and classifier for signal classification. In this project signal processing tool box will be used in MATLAB environment.

Keywords

Ischemia, Wavelet Transform, Base Line Wandering, Feature Extraction, Classifier

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