Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks
Deep neural networks (DNN) are a promising tool in medical applications. However, the implementation of complex DNNs on battery-powered devices is challenging due to high energy costs for communication. In this work, a convolutional neural network model is developed for detecting atrial fibrillation...
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Main Authors | , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
14.06.2022
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Subjects | |
Online Access | Get full text |
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