Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder

Photoplethysmography (PPG) signals collected by wearables have been shown to be effective in accurate detection of atrial fibrillation (AF), provided that the data are devoid of motion and noise artifacts (MNA). Many studies have been previously conducted to detect AF arrhythmia using PPG data; howe...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 237; p. 121611
Main Authors:	Mohagheghian, Fahimeh, Han, Dong, Ghetia, Om, Chen, Darren, Peitzsch, Andrew, Nishita, Nishat, Ding, Eric Y., Mensah Otabil, Edith, Noorishirazi, Kamran, Hamel, Alexander, Dickson, Emily L., DiMezza, Danielle, Tran, Khanh-Van, McManus, David D., Chon, Ki H.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2024
Subjects:	Atrial fibrillation Autoencoder Deep learning Denoising Photoplethysmography Deep learning Photoplethysmography Autoencoder Atrial fibrillation Denoising
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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