Classification Of Arrhythmia by Using Deep Learning With 2-D Ecg Spectral Image Representation
Abstract:We are classifying the ECG into six categories based on grayscale Deep two-dimensional convolutional neural networks are used to create ECG images (CNN). Out of these categories, one is normal and the other five represent various types of arrhythmias. Users can select the image they wish to categorize through a web application that we are creating. Please note that there are additional issues with your writing, such as punctuation and spelling, which need to be addressed. Once the image is inputted into the tr… Show more
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