Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/35076Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | GRIETEN, Lars | |
| dc.contributor.author | Gieghase, Jente | |
| dc.date.accessioned | 2021-09-13T13:03:09Z | - |
| dc.date.available | 2021-09-13T13:03:09Z | - |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/1942/35076 | - |
| dc.format.mimetype | Application/pdf | |
| dc.language | en | |
| dc.publisher | tUL | |
| dc.title | Performance of a standalone photoplethysmography-based algorithm that detects atrial fibrillation: analysis of real-world data | |
| dc.type | Theses and Dissertations | |
| local.bibliographicCitation.jcat | T2 | |
| dc.description.notes | Master of Biomedical Sciences-Bioelectronics and Nanotechnology | |
| local.type.specified | Master thesis | |
| item.fulltext | With Fulltext | - |
| item.fullcitation | Gieghase, Jente (2021) Performance of a standalone photoplethysmography-based algorithm that detects atrial fibrillation: analysis of real-world data. | - |
| item.contributor | Gieghase, Jente | - |
| item.accessRights | Open Access | - |
| Appears in Collections: | Master theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6c5862e5-18c0-4978-829e-85d739576a38.pdf | 1.35 MB | Adobe PDF | View/Open |
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