Ambulatory ECG ST Segment Analysis for Detection of Ischemia

Abstract

Some changes from normality of the ST segment of an electrocardiogram (ECG) are known to be indicative of myocardial ischemia, or lack of oxygen in the heart muscles. Ischemia can lead to myocardial infarction which could be fatal. However, little has been achieved in developing techniques for automatically identifying abnormality in ST segment which is caused by ischemia. This is because ECG is sensitive to the subject’s posture and movement, noise in the leads and other factors, and the origin of the abnormality is difficult to be determined. This project investigates methods for modelling and classifying ST segments in ECG in order to detect ischemia automatically.