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...

Celý popis

Podrobná bibliografie

Vydáno v:	Expert systems with applications Ročník 237; s. 121611
Hlavní autoři:	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.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2024
Témata:	Atrial fibrillation Autoencoder Deep learning Denoising Photoplethysmography Deep learning Photoplethysmography Autoencoder Atrial fibrillation Denoising
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!