期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：10
页码：3398-3403
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The significance of diagnostic Q-waves for myocardial ischemia and infraction have been well studied over several decades [1]. Myocardial infarction (MI), is commonly known as a heart attack, occurs when the blood supply to the portion of the heart is blocked causing some heart cells to die. This information is depicted in the elevated ST wave, increased Q wave amplitude and inverted T wave of the electrocardiogram (ECG) signal. However, the presence or absence of a Q wave does correlate with some aspects of the clinical course of patients after myocardial infarction, and is therefore of prognostic value. It is stated that a sheer presence or absence of a Q wave greater than 0.03 sec in duration may lead to "correct" diagnosis of infarction or not in 79% of trials. After all, the ECG waveform obtained from the limb and pericardial leads are the only data for such diagnosis. Diagnosis of site of myocardium from such Q waves is one aspect while the extant of pathology present therein is another. For instance, the lateral infarction is related to q waves in lead 1 and V5, V6 leads. There are also estimates of recent or old infarctions which are related to the elevation of the S-T segment along with the q wave. Recoverable ischemia is also likely to show up as Q waves along with ST elevation or depression. To develop an ANFIS trained network for clearly modeling the Q wave and providing a crisp output in the form a Q-wave index value which should be able to provide a comparable estimate of cardiac pathological diagnosis.
