Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/35076
Full 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.fullcitation | Gieghase, Jente (2021) Performance of a standalone photoplethysmography-based algorithm that detects atrial fibrillation: analysis of real-world data. | - |
item.fulltext | With Fulltext | - |
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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