Photoplethysmography rhythm interpretation: an essential skill in an era of novel technologies

Author:

Gue Ying X12,El-Bouri Wahbi K12ORCID,Lip Gregory Y H123

Affiliation:

1. Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool L7 8TX, UK

2. Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool L69 3BX, UK

3. Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark

Publisher

Oxford University Press (OUP)

Reference13 articles.

1. The photoplethysmography dictionary: practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF;van der Velden;Eur Heart J Digit Health,2021

2. How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management;Olier;Cardiovasc Res,2021

3. Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: Comparing common clinical risk scores and machine learning algorithms;Lip;Eur Heart J Qual Care Clin Outcomes,2021

4. Improving stroke risk prediction in the general population: a comparative assessment of common clinical rules, a new multimorbid index, and machine-learning-based algorithms;Lip;Thromb Haemost,2021

5. Clinicians’ knowledge and perception of telemedicine technology;Ayatollahi;Perspect Health Inf Manag,2015

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart-watching the heart: Ready now or a way to go?;Indian Pacing and Electrophysiology Journal;2022-05

2. Mobile health technology in atrial fibrillation;Expert Review of Medical Devices;2022-04-03

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