Publication Date: 2022/06/19
Abstract: 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.
Keywords: ECG analysis, cardiac arrhythmias, ECG classification, deep learning and convolutional neural networks.
DOI: https://doi.org/10.5281/zenodo.6662978
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22MAY1548_(1)_(1).pdf
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