Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices. (arXiv:2205.03661v2 [cs.CV] UPDATED)

Monitoring electrocardiogram signals is of great significance for the
diagnosis of arrhythmias. In recent years, deep learning and convolutional
neural networks have been widely used in the classification of cardiac
arrhythmias. However, the existing neural network applied to ECG signal
detection usually requires a lot of computing resources, which is not friendlyF
to resource-constrained equipment, and it is difficult to realize real-time
monitoring. In this paper, a binarized convolutional neural network suitable
for ECG monitoring is proposed, which is hardware-friendly …

arxiv convolutional neural network cv devices network neural network