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Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890349/ https://www.ncbi.nlm.nih.gov/pubmed/35265881 http://dx.doi.org/10.1016/j.cvdhj.2020.08.004 |
| _version_ | 1784661615558262784 |
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| author | Mol, Daniel Riezebos, Robert K. Marquering, Henk A. Werner, Marije E. Lobban, Trudie C.A. de Jong, Jonas S.S.G. de Groot, Joris R. |
| author_facet | Mol, Daniel Riezebos, Robert K. Marquering, Henk A. Werner, Marije E. Lobban, Trudie C.A. de Jong, Jonas S.S.G. de Groot, Joris R. |
| author_sort | Mol, Daniel |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8890349 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-88903492022-03-08 Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation Mol, Daniel Riezebos, Robert K. Marquering, Henk A. Werner, Marije E. Lobban, Trudie C.A. de Jong, Jonas S.S.G. de Groot, Joris R. Cardiovasc Digit Health J Short Reports/Case Reports Elsevier 2020-10-22 /pmc/articles/PMC8890349/ /pubmed/35265881 http://dx.doi.org/10.1016/j.cvdhj.2020.08.004 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Short Reports/Case Reports Mol, Daniel Riezebos, Robert K. Marquering, Henk A. Werner, Marije E. Lobban, Trudie C.A. de Jong, Jonas S.S.G. de Groot, Joris R. Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation |
| 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 | Short Reports/Case Reports |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890349/ https://www.ncbi.nlm.nih.gov/pubmed/35265881 http://dx.doi.org/10.1016/j.cvdhj.2020.08.004 |
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