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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Bibliographic Details
Main Authors Chang, Xiu Qi, Chew, Ann Feng, Choong, Benjamin Chen Ming, Wang, Shuhui, Han, Rui, He, Wang, Xiaolin, Li, Panicker, Rajesh C, John, Deepu
Format Journal Article
LanguageEnglish
Published 14.06.2022
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