ECG Signal Denoising Method Based on Disentangled Autoencoder

The electrocardiogram (ECG) is widely used in medicine because it can provide basic information about different types of heart disease. However, ECG data are usually disturbed by various types of noise, which can lead to errors in diagnosis by doctors. To address this problem, this study proposes a...

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Veröffentlicht in:	Electronics (Basel) Jg. 12; H. 7; S. 1606
Hauptverfasser:	Lin, Haicai, Liu, Ruixia, Liu, Zhaoyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2023
Schlagworte:	Algorithms Artificial neural networks Cardiovascular disease Coding Deep learning Diagnosis Electrocardiogram Electrocardiography Electrodes Heart Heart diseases Methods Neural networks Noise Noise reduction Scientific validity Signal processing Signal to noise ratio Wavelet transforms China
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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