Inter-Patient CNN-LSTM for QRS Complex Detection in Noisy ECG Signals

Inter-Patient CNN-LSTM for QRS Complex Detection in Noisy ECG Signals

In this paper, a convolutional neural network (CNN) with long short-term memory (LSTM) is designed to detect QRS complexes in noisy electrocardiogram (ECG) signals. The CNN performs feature extraction while the LSTM determines the QRS complex timings. A multi-layer perception (MLP) after the LSTM is...

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Bibliographic Details
Main Authors: Brosnan Yuen, Xiaodai Dong, Tao Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
electrocardiogram (ECG)
QRS complex
feedforward neural networks
multi-layer neural network
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/8911411/

Internet

https://ieeexplore.ieee.org/document/8911411/

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