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Authors
Affiliations
1 Department of Biomedical Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr. Sankunthala Engineering College, Chennai, Tamil Nadu, IN
2 Department of Electronics and Communication
Engineering, College Of Engineering, Guindy, Chennai, Tamil Nadu, IN
3 Department of Physiology, Stanley Medical College, Chennai, Tamil Nadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 13 (2011), Pagination: 820-825
Abstract
Myocardial Reinfarction means a subsequent heart attack after a Myocardial infarction. Myocardial infarction commonly known as heart attack, occurs when the blood supply to a part of the heart is interrupted causing some myocardial cells to die. This is most commonly due to occlusion (blockage) of a branch of coronary artery, which is due to deposition of lipids (like cholesterol) in the intimal layer of the coronary blood vessels The aim of this project is to record the ECG sequentially from Lead–II electrocardiogram (ECG). Then recorded ECG is analyzed using heart rate variability software. So the objective of my project is to find the flexibility of the heart and to confirm whether the patient may or may not suffer from subsequent attack (Reinfarction) in conditions like hypertensive Cardiomyopathy, alcoholic cardiomyopathy, diabetes induced Cardiomyopathy and Valvular Heart Diseases. The parameters monitored are analog signals in nature. They are amplified, filtered, and converted into a digital format for further processing by microcontroller or embedded unit. Then with the help of the software further analysis is done.
Keywords
Heart Rate Variability (HRV), Coronary Artery, Cardiomyopathy, Reinfarction, Autonomic Nervous System (ANS).
