Developing Convolutional Neural Networks for Deep Learning of Ventricular Action Potentials to Predict Risk for Ventricular Arrhythmias

Anojan Selvalingam,Mahmood Alhusseini,Albert J. Rogers,David E. Krummen,Firas M. Abuzaid,Junaid A. Zaman,Tina Baykaner,Paul L. Clopton,Peter Bailis,Matei Zaharia,Sanjiv M. Narayan

Circulation（2019）

Cited 23|Views179

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Abstract

Background: It is unclear if machine learning can be trained to recognize electrophysiological signal features which represent pathological remodeling in patients with coronary disease (CAD) and le...

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Key words

ventricular action potentials,ventricular arrhythmias,convolutional neural networks,deep learning,neural networks

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