This paper is in the following e-collection/theme issue:

Connected Health Conference 2017 (55) CHC17: Connected health in clinical care and remote monitoring (25)

Published on in Vol 3, No 1 (2017): CHC Issue

Screening of Atrial Fibrillation Using Wrist Photoplethysmography from a Fitbit Tracker

Screening of Atrial Fibrillation Using Wrist Photoplethysmography from a Fitbit Tracker

Screening of Atrial Fibrillation Using Wrist Photoplethysmography from a Fitbit Tracker

Authors of this article:

Alexandros Pantelopoulos1 ;   Anthony Faranesh1 ;   Andreea Milescu1 ;   Paige Hosking1 ;   Subramaniam Venkatraman1 ;   Conor Heneghan1
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Eerikäinen L, Bonomi A, Schipper F, Dekker L, Vullings R, de Morree H, Aarts R. Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions. Physiological Measurement 2018;39(8):084001 View
  2. Magnani J, Schlusser C, Kimani E, Rollman B, Paasche-Orlow M, Bickmore T. The Atrial Fibrillation Health Literacy Information Technology System: Pilot Assessment. JMIR Cardio 2017;1(2):e7 View
  3. Nuvvula S, Ding E, Saleeba C, Shi Q, Wang Z, Kapoor A, Saczynski J, Lubitz S, Kovell L, McKee M, McManus D. NExUS-Heart: Novel examinations using smart technologies for heart health—Data sharing from commercial wearable devices and telehealth engagement in participants with or at risk of atrial fibrillation. Cardiovascular Digital Health Journal 2021;2(5):256 View

Conference Proceedings

  1. Prieto J, Gray B, Becker H. Microfluidics, BioMEMS, and Medical Microsystems XVII. Microfluidics for health monitoring applications View
  2. Panindre P, Gandhi V, Kumar S. 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET). Comparison of Performance of Artificial Intelligence Algorithms for Real-Time Atrial Fibrillation Detection using Instantaneous Heart Rate View