Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-09-01
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| Series: | Cardiovascular Digital Health Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666693620300311 |
| _version_ | 1818642639489073152 |
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| author | Daniel Mol, BSc Robert K. Riezebos, MD, PhD Henk A. Marquering, PhD Marije E. Werner, MD Trudie C.A. Lobban, MBE, FRCP Jonas S.S.G. de Jong, MD, PhD Joris R. de Groot, MD, PhD |
| author_facet | Daniel Mol, BSc Robert K. Riezebos, MD, PhD Henk A. Marquering, PhD Marije E. Werner, MD Trudie C.A. Lobban, MBE, FRCP Jonas S.S.G. de Jong, MD, PhD Joris R. de Groot, MD, PhD |
| author_sort | Daniel Mol, BSc |
| collection | DOAJ |
| first_indexed | 2024-12-16T23:46:15Z |
| format | Article |
| id | doaj.art-dcf3c5791fd64ad1897cbdd2ca574158 |
| institution | Directory Open Access Journal |
| issn | 2666-6936 |
| language | English |
| last_indexed | 2024-12-16T23:46:15Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cardiovascular Digital Health Journal |
| spelling | doaj.art-dcf3c5791fd64ad1897cbdd2ca5741582022-12-21T22:11:29ZengElsevierCardiovascular Digital Health Journal2666-69362020-09-0112107110Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillationDaniel Mol, BSc0Robert K. Riezebos, MD, PhD1Henk A. Marquering, PhD2Marije E. Werner, MD3Trudie C.A. Lobban, MBE, FRCP4Jonas S.S.G. de Jong, MD, PhD5Joris R. de Groot, MD, PhD6Department of Cardiology, OLVG Hospital, Amsterdam, The Netherlands; Department of Cardiology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands; Address reprint requests and correspondence: Mr Daniël Mol, Department of Cardiology, OLVG Hospital, Oosterpark 9, 1091 AC Amsterdam, The Netherlands.Department of Cardiology, OLVG Hospital, Amsterdam, The NetherlandsDepartment of Cardiology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The NetherlandsDepartment of Cardiology, OLVG Hospital, Amsterdam, The NetherlandsArrhythmia Alliance, Chipping Norton, United KingdomDepartment of Cardiology, OLVG Hospital, Amsterdam, The NetherlandsDepartment of Cardiology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlandshttp://www.sciencedirect.com/science/article/pii/S2666693620300311Artificial intelligenceAtrial fibrillationPhotoplethysmographySmartphone |
| spellingShingle | Daniel Mol, BSc Robert K. Riezebos, MD, PhD Henk A. Marquering, PhD Marije E. Werner, MD Trudie C.A. Lobban, MBE, FRCP Jonas S.S.G. de Jong, MD, PhD Joris R. de Groot, MD, PhD Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation Cardiovascular Digital Health Journal Artificial intelligence Atrial fibrillation Photoplethysmography Smartphone |
| title | Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| title_full | Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| title_fullStr | Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| title_full_unstemmed | Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| title_short | Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| title_sort | performance of an automated photoplethysmography based artificial intelligence algorithm to detect atrial fibrillation |
| topic | Artificial intelligence Atrial fibrillation Photoplethysmography Smartphone |
| url | http://www.sciencedirect.com/science/article/pii/S2666693620300311 |
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