Paperdoi:10.1038/s41746-019-0207-9
Photoplethysmography based atrial fibrillation detection: a review
NPJ Digit. Med. 2020;3:3
TL;DR
Reviews AF detection from PPG. It covers the clinical motivation (stroke prevention), consumer wearables tested in large prospective trials, signal processing, machine-learning and deep-learning approaches, and the limitations that stand between these methods and clinical use.
- Form factor: mixed
Abstract
Atrial fibrillation (AF) is a cardiac rhythm disorder associated with increased morbidity and mortality. It is the leading risk factor for cardioembolic stroke and its early detection is crucial in both primary and secondary stroke prevention. Continuous monitoring of cardiac rhythm is today possible thanks to consumer-grade wearable devices, enabling transformative diagnostic and patient management tools. Such monitoring is possible using low-cost easy-to-implement optical sensors that today equip the majority of wearables. These sensors record blood volume variations—a technology known as photoplethysmography (PPG)—from which the heart rate and other physiological parameters can be extracted to inform about user activity, fitness, sleep, and health. Recently, new wearable devices were introduced as being capable of AF detection, evidenced by large prospective trials in some cases. Such devices would allow for early screening of AF and initiation of therapy to prevent stroke. This review is a summary of a body of work on AF detection using PPG. A thorough account of the signal processing, machine learning, and deep learning approaches used in these studies is presented, followed by a discussion of their limitations and challenges towards clinical applications.
Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0
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Cite this paper
Pereira, T., Tran, N., Gadhoumi, K., Pelter, M. M., Do, D. H., Lee, R. J., Colorado, R. A., Meisel, K. M., & Hu, X. (2020). Photoplethysmography based atrial fibrillation detection: a review. NPJ Digit. Med. 2020, 3, 3. https://doi.org/10.1038/s41746-019-0207-9
Pereira, Tânia, Nate Tran, Kais Gadhoumi, Michele M. Pelter, Duc H. Do, Randall J. Lee, René A. Colorado, Karl M. Meisel, and Xiao Hu. 2020. "Photoplethysmography based atrial fibrillation detection: a review." NPJ Digit. Med. 2020 3: 3. https://doi.org/10.1038/s41746-019-0207-9.
Pereira, T., Tran, N., Gadhoumi, K., Pelter, M. M., Do, D. H., Lee, R. J., Colorado, R. A., Meisel, K. M. and Hu, X. (2020) 'Photoplethysmography based atrial fibrillation detection: a review', NPJ Digit. Med. 2020, 3, p. 3. doi: 10.1038/s41746-019-0207-9.
Pereira, Tânia, et al. "Photoplethysmography based atrial fibrillation detection: a review." NPJ Digit. Med. 2020, vol. 3, 2020, p. 3. https://doi.org/10.1038/s41746-019-0207-9.
T. Pereira et al., "Photoplethysmography based atrial fibrillation detection: a review," NPJ Digit. Med. 2020, vol. 3, p. 3, 2020, doi: 10.1038/s41746-019-0207-9.
@article{pereira2020photoplethysmography,
title = {{Photoplethysmography based atrial fibrillation detection: a review}},
author = {Pereira, Tânia and Tran, Nate and Gadhoumi, Kais and Pelter, Michele M. and Do, Duc H. and Lee, Randall J. and Colorado, René A. and Meisel, Karl M. and Hu, Xiao},
year = {2020},
journal = {NPJ Digit. Med. 2020},
volume = {3},
pages = {3},
doi = {10.1038/s41746-019-0207-9}
}Added to the ChatPPG research hub
