7 citations · 13 across the 4 of their papers we have counts for
4 papers
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks
Xiu Qi Chang, Ann Feng Chew, Benjamin Chen Ming Choong +6
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 co…
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications
Li Xiaolin, Fang Xiang, Rajesh C. Panicker +2
Sudden cardiac death and arrhythmia account for a large percentage of all deaths worldwide. Electrocardiography (ECG) is the most widely used screening tool for cardiovascular dise…
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices
Xiaolin Li, Rajesh Panicker, Barry Cardiff +1
Using smart wearable devices to monitor patients electrocardiogram (ECG) for real-time detection of arrhythmias can significantly improve healthcare outcomes. Convolutional neural…
Continuous User Authentication using IoT Wearable Sensors
Conor Smyth, Guoxin Wang, Rajesh Panicker +3
Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this d…