• Shweta G.Tijare
• Prof.Supratim Saha

According to the ECG signals can benefit in diagnosing most of the heart diseases. The heart condition is used to diagnose by important tool is Elecrocardiography. One cardiac cycle in an ECG consist of the P-Q-R-S-T waves or segments. The ECG signal analysis and classification system gives overall idea about the diseases. This researcher has taken up the challenge of managing to devise a system that does 3 functions in a short time. Those functions are i) finding whether a person is suffering from one of the four heart diseases namely, Atrial Fibrillation, Atrial Flutter, Branch Bundle Block and Myocardial Infarction. After locating the exact heart disease, the system calculates the criticality of that disease. In recent years, many research and methods have been proposed and developed for analyzing the ECG signals and extracting features such as amplitude and time intervals for classification of signals. This paper focuses on some of the techniques proposed earlier for the heart diseases classification and extraction of parameters from the ECG signal which is used for filtering and normalisation and classification system. This paper also gives the brief idea about the proposed work using Artificial Neural Networks (ANN).

ECG signals , Wavelet Transform and Artificial Neural Network, Cardiovascular Diseases.

"Review of Review of Diagnosis and Classification of Heart Diseases Based On ECG Signals Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 2, page no.239-240, February-2015, Available :http://www.jetir.org/papers/JETIR1502014.pdf

"Review of Review of Diagnosis and Classification of Heart Diseases Based On ECG Signals Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 2, page no. pp239-240, February-2015, Available at : http://www.jetir.org/papers/JETIR1502014.pdf