Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation

Daniel Mol; Robert K. Riezebos; Henk A. Marquering; Marije E. Werner; Trudie C. A. Lobban; Jonas S. S. G. de Jong; Joris R. de Groot

doi:https://doi.org/10.1016/j.cvdhj.2020.08.004

Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation

Daniel Mol, Robert K. Riezebos, Henk A. Marquering, Marije E. Werner, Trudie C. A. Lobban, Jonas S. S. G. de Jong, Joris R. de Groot

Research output: Contribution to journal › Article › Academic › peer-review

9 Citations (Scopus)

Original language	English
Pages (from-to)	107-110
Journal	Cardiovascular Digital Health Journal
Volume	1
Issue number	2
DOIs	https://doi.org/10.1016/j.cvdhj.2020.08.004
Publication status	Published - 1 Sept 2020

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https://doi.org/10.1016/j.cvdhj.2020.08.004

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@article{9072f1ffc03a49ffb5793195fe788db0,

title = "Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation",

author = "Daniel Mol and Riezebos, {Robert K.} and Marquering, {Henk A.} and Werner, {Marije E.} and Lobban, {Trudie C. A.} and {de Jong}, {Jonas S. S. G.} and {de Groot}, {Joris R.}",

year = "2020",

month = sep,

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doi = "https://doi.org/10.1016/j.cvdhj.2020.08.004",

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AU - Mol, Daniel

AU - Riezebos, Robert K.

AU - Marquering, Henk A.

AU - Werner, Marije E.

AU - Lobban, Trudie C. A.

AU - de Jong, Jonas S. S. G.

AU - de Groot, Joris R.

PY - 2020/9/1

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UR - https://www.ncbi.nlm.nih.gov/pubmed/35265881

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SP - 107

EP - 110

JO - Cardiovascular Digital Health Journal

JF - Cardiovascular Digital Health Journal

IS - 2

ER -

Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation

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