HIGHLIGHTS
- who: Bahare Andayeshgar and collaborators from the Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran have published the Article: Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals, in the Journal: (JOURNAL)
- what: The aim of this study is to increase the accuracy of arrhythmia diagnosis and classify various types of arrhythmias in individuals (suffering from cardiovascular diseases) using a novel convolutional network (GCN) benefitting from mutual information (MI) indices extracted from the leads. The results of this study and its comparison with other . . .
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