Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM

Detecting Noisy ECG QRS Complexes Using WaveletCNN Autoencoder and ConvLSTM

In this paper, we propose a novel machine learning pipeline to detect QRS complexes in very noisy wearable electrocardiogram (ECG) devices. The machine learning pipeline consists of a Butterworth filter, two wavelet convolutional neural networks (WaveletCNNs) autoencoders, an optional QRS complex in...

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Bibliographic Details
Main Authors: Brosnan Yuen, Xiaodai Dong, Tao Lu
Format: Article
Language:English
Published: IEEE 2020-01-01
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/9151983/

Internet

https://ieeexplore.ieee.org/document/9151983/

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