Identification of Atrial Fibrillation by Quantitative Analyses of Fingertip Photoplethysmogram-Reference-Cited by-同舟云学术

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Identification of Atrial Fibrillation by Quantitative Analyses of Fingertip Photoplethysmogram

Published:2017-04-03 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Tang Sung-Chun,Huang Pei-Wen,Hung Chi-Sheng,Shan Shih-Ming,Lin Yen-Hung,Shieh Jiann-Shing,Lai Dar-Ming,Wu An-Yeu,Jeng Jiann-Shing

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep45644.pdf

Reference29 articles.

1. January, C. T. et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society. Circulation 130, 2071–2104, doi: 10.1161/cir.0000000000000040 (2014).

2. Sposato, L. A. et al. Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: a systematic review and meta-analysis. The Lancet. Neurology 14, 377–387, doi: 10.1016/s1474-4422(15)70027-x (2015).

3. Sutamnartpong, P., Dharmasaroja, P. A., Ratanakorn, D. & Arunakul, I. Atrial fibrillation and paroxysmal atrial fibrillation detection in patients with acute ischemic stroke. Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association 23, 1138–1141, doi: 10.1016/j.jstrokecerebrovasdis.2013.09.032 (2014).

4. Petrenas, A., Sornmo, L., Lukosevicius, A. & Marozas, V. Detection of occult paroxysmal atrial fibrillation. Medical & biological engineering & computing 53, 287–297, doi: 10.1007/s11517-014-1234-y (2015).

5. Choe, W. C. et al. A Comparison of Atrial Fibrillation Monitoring Strategies After Cryptogenic Stroke (from the Cryptogenic Stroke and Underlying AF Trial). The American journal of cardiology 116, 889–893, doi: 10.1016/j.amjcard.2015.06.012 (2015).

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2. Intelligent Detection Method of Atrial Fibrillation by CEPNCC-BiLSTM Based on Long-Term Photoplethysmography Data;Sensors;2024-08-14

3. Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability;Engineering Applications of Artificial Intelligence;2024-07

4. Detection of Atrial Fibrillation From PPG Sensor Data Using Variational Mode Decomposition;IEEE Sensors Letters;2024-03

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