QRS Complex Detection Using Novel Deep Learning Neural Networks

QRS Complex Detection Using Novel Deep Learning Neural Networks

Objective: Accurate QRS complex detection is essential for electrocardiography (ECG) diagnosis. Many proposed algorithms don't perform satisfactorily on noisy and arrhythmia ECGs. The purpose of this study is to develop a noise resistant and generalizable method to detect QRS complexes accurate...

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Bibliographic Details
Main Authors: Wenjie Cai, Danqin Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
electrocardiography
QRS complex
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/9099511/

Internet

https://ieeexplore.ieee.org/document/9099511/

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