A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning

A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning

Arrhythmias reflect electrical abnormalities of the heart, and they can lead to severe harm to the heart. An electrocardiogram (ECG) is a useful tool to manifest arrhythmias. In this paper, we present an automatic system using a convolutional neural network and active learning to classify ECG signal...

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Bibliographic Details
Main Authors: Yufa Xia, Yaoqin Xie
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Electrocardiogram
convolutional neural networks
active learning
Online Access:https://ieeexplore.ieee.org/document/8607982/

Internet

https://ieeexplore.ieee.org/document/8607982/

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