An Efficient Heartbeats Classifier Based on Convolutional Neural Network

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