Abstract: The ischemic
myocardium and coronary heart disease
which occur due to abnormality in firing of the electrical impulses from the
ventricles are causing an unanticipated death. This is most commonly referred
to as Acute Myocardial Infarction (AMI). The value of ST-segment duration is not always easy to
determine if the electrocardiograms (ECGs) are often spoiled
by different types of artefacts. Occasionally it is not likely to
recognize the exact end of the S wave
and the accurate commencement of the T wave. Even if the Holter monitoring
systems is useful to detect ST segment elevation or ST depression with good
accuracy, there is no stringent technique of measuring an ischemic ST episode. This paper is intended to detect automatically ST-segment
deviations and transient ST episodes which will help us in identification of
Myocardial Infarction and also to categorize major cardiac arrhythmia. Our
system has been tested and yielded an accuracy of 94.5% for the ST episode
detection on the Long Term ST Database and 97.4% on MIT-BIH Arrhythmia
Database.
Keywords: ST segment, MI, FIR filter, QRS, QT interval