Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

The electrocardiogram (ECG) is a widely used, noninvasive test for analyzing arrhythmia. However, the ECG signal is prone to contamination by different kinds of noise. Such noise may cause deformation on the ECG heartbeat waveform, leading to cardiologists’ mislabeling or misinterpreting h...

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Bibliographic Details
Main Authors: Siti Nurmaini, Annisa Darmawahyuni, Akhmad Noviar Sakti Mukti, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Bambang Tutuko
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Electronics
Subjects:
heartbeat classification
arrhythmia
denoising autoencoder
autoencoder
deep learning
Online Access:https://www.mdpi.com/2079-9292/9/1/135

Internet

https://www.mdpi.com/2079-9292/9/1/135

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