DEVELOPMENT OF A CONVOLUTION NEURAL NETWORK FOR SHOCKABLE ARRHYTHMIA CLASSIFICATION WITHIN A NEXT GENERATION AUTOMATED EXTERNAL DEFIBRILLATOR

Christine Shen,Rola Khedraki,Travis Cohoon,Amr Barakat,Ahmad Ramy Elashery,Kevin Shah,Benjamin Freed,David Walters,Douglas N. Gibson,Nicholas Olson,Fu Siong Ng, James Perry,John Rogers,Sanjeev Bhavnani

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2020）

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摘要

The accurate diagnosis of shockable arrhythmias resulting from VT/VF remain integral to improving sudden cardiac arrest (SCA) process of care. Herein, we report the diagnostic performance of new machine learning approaches on arrhythmia classification within a novel AED design (Avive). A 4 layer

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