ECG Signal Denoising Using 1D Convolutional Neural Network

Electrocardiogram (ECG) signals are crucial for monitoring cardiac activity and diagnosing various cardiovascular conditions. However, these signals are often contaminated by different types of noise, such as baseline wander, muscle artifacts, and power line interference, which can obscure critical...

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Vydáno v:	Computer engineering and applications journal Ročník 13; číslo 2; s. 60 - 68
Hlavní autoři:	Rifai, Ahmad, Rachmamtullah, Muhammad Naufal, Sari, Winda Kurnia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Palembang Computer Engineering and Applications Journal, Universitas Sriwijaya 01.06.2024
Témata:	Artificial neural networks Cardiac stress tests Diagnosis Electrocardiography Neural networks Noise levels Noise monitoring Noise reduction Performance evaluation Power lines Signal quality Signal reconstruction Signal to noise ratio
ISSN:	2252-4274, 2252-5459
On-line přístup:	Získat plný text
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