Výsledky vyhledávání

Akademický článek

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Autor: Kwon, Soonil, Hong, Joonki, Choi, Eue-Keun, Lee, Byunghwan, Baik, Changhyun, Lee, Euijae, Jeong, Eui-Rim, Koo, Bon-Kwon, Oh, Seil, Yi, Yung

Publikováno v: Journal of Medical Internet Research, Vol 22, Iss 5, p e16443 (2020)

BackgroundContinuous photoplethysmography (PPG) monitoring with a wearable device may aid the early detection of atrial fibrillation (AF). ObjectiveWe aimed to evaluate the diagnostic performance of a ring-type wearable device (CardioTracker, CART),

Externí odkaz: https://doaj.org/article/ba6ce90a91614b89813868bc95b6617a

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Autor: Kwon, Soonil, Hong, Joonki, Choi, Eue-Keun, Lee, Euijae, Hostallero, David Earl, Kang, Wan Ju, Lee, Byunghwan, Jeong, Eui-Rim, Koo, Bon-Kwon, Oh, Seil, Yi, Yung

Publikováno v: JMIR mHealth and uHealth, Vol 7, Iss 6, p e12770 (2019)

BackgroundWearable devices have evolved as screening tools for atrial fibrillation (AF). A photoplethysmographic (PPG) AF detection algorithm was developed and applied to a convenient smartphone-based device with good accuracy. However, patients with

Externí odkaz: https://doaj.org/article/e43fcd22a8304bf481ea3a6adf237e91

Zobrazit plný text záznamu