Recently, deep learning models have arrived as
assuring methods for the diagnosis of various diseases.
Cardiac disease is one of the leading life-threatening diseases
on global scale. The aim of this paper is to propose a
heartbeat classifier from the electrocardiogram by using
CNN. The proposed Electrocardiogram classification model
is designed with a CNN configuration to classify heartbeat
arrhythmias in less time. Already existing designs like
machine learning techniques are time-consuming and needs
extensive experimentation. To overcome this problems, we
are using CNN model for ECG Classification.
ECG analysis, cardiac arrhythmias, ECG classification, deep learning and convolutional neural networks.