Deep learning approach for detection of ECG abnormalities.

Now a days we see more people are dying because of heart attacks and cardiac arrest. The Electrocardiogram is mostly used for identifying the heart diseases and also, we can find the cardiovascular state of the person. The deep learning is an approach to study about the abnormalities present in an ECG cycle. In this project we discuss about two methods reduction of noise and detection of abnormalities. In this approach we use Convolutional neural networks which gives the accuracy between 75 to 85% and also this method can identify the minute changes in the given signal. This process is done using MIT-BIH database. [ABSTRACT FROM AUTHOR]