Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/41691, first published
.
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- Mohagheghian F, Han D, Ghetia O, Chen D, Peitzsch A, Nishita N, Ding E, Mensah Otabil E, Noorishirazi K, Hamel A, Dickson E, DiMezza D, Tran K, McManus D, Chon K. Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder. Expert Systems with Applications 2024;237:121611 View
- de Marinis R, Marigi E, Atwan Y, Yang L, Oeding J, Gupta P, Pareek A, Sanchez-Sotelo J, Sperling J. Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next. JSES Reviews, Reports, and Techniques 2023;3(4):447 View
- Härtl J, Penkert H, Martens E, Wunderlich S. Detektion von Vorhofflimmern mit Smartwatches. DNP – Die Neurologie & Psychiatrie 2024;25(4):22 View
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- Boneva A, Ivanova V, Vasilev P, Ivanov S, Ivanova T. 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). Big Data Processing for Bulgarian Healthcare - Smart Cards and Some Simulating Decisions View
- Chen D, Han D, Mercado-Díaz L, Moon J, Chon K. 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). Smartwatch Photoplethysmogram-Based Atrial Fibrillation Detection with Premature Atrial and Ventricular Contraction Differentiation Using Densely Connected Convolutional Neural Networks View