Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Background: Electrocardiogram (ECG) deep learning (DL) has promise to improve the outcomes of patients with cardiovascular abnormalities. In ECG DL, researchers often use convolutional neural networks (CNNs) and traditionally use the full duration of raw ECG waveforms that create redundancies in fea...

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Bibliographic Details
Main Authors: Hossein Honarvar, PhD, Chirag Agarwal, PhD, Sulaiman Somani, MD, Akhil Vaid, MD, Joshua Lampert, MD, Tingyi Wanyan, PhD, Vivek Y. Reddy, MD, Girish N. Nadkarni, MD, Riccardo Miotto, PhD, Marinka Zitnik, PhD, Fei Wang, PhD, Benjamin S. Glicksberg, PhD
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Cardiovascular Digital Health Journal
Subjects:
Deep learning, Cardiology, Electrocardiograms, Sub-waveform representation, Machine Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666693622001335

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http://www.sciencedirect.com/science/article/pii/S2666693622001335

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