Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network

This study proposed an efficient ECG preprocessing technique, and the preprocessed ECG data was subsequently used to classify atrial fibrillation (AFib) using end-to-end deep neural networks. This is significant since early identification of AFib can help to prevent mortality. With this in mind, the...

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Vydáno v:	Expert systems with applications Ročník 233; s. 120975
Hlavní autoři:	Singh, Prateek, Sharma, Ambalika, Maiya, Shreesha
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.12.2023
Témata:	Atrial fibrillation Convolutional neural network Denoising autoencoders Electrocardiography Long short-term memory Electrocardiography Long short-term memory Denoising autoencoders Atrial fibrillation Convolutional neural network
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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