18 citations · 18 across the 3 of their papers we have counts for
3 papers
eess.SP2023★ 18 cited
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network
Ninghao Pu, Zhongxing Wu, Ao Wang +3
Reasonably and effectively monitoring arrhythmias through ECG signals has significant implications for human health. With the development of deep learning, numerous ECG classificat…
cs.CV2022
Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices
Ao Wang, Wenxing Xu, Hanshi Sun +3
Monitoring electrocardiogram signals is of great significance for the diagnosis of arrhythmias. In recent years, deep learning and convolutional neural networks have been widely us…
eess.SP2022
Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization
Hanshi Sun, Ao Wang, Ninghao Pu +4
Cardiovascular disease (CVDs) is one of the universal deadly diseases, and the detection of it in the early stage is a challenging task to tackle. Recently, deep learning and convo…