Contactless detection of sleep phases with the help of regression analysis : Fachvortrag
- Long-term sleep monitoring can be done primarily in the home environment. Good patient acceptance requires low user and installation barriers. The selection of parameters in this approach is significantly limited compared to a PSG session. The aim is a qualified selection of parameters, which on the one hand allow a sufficiently good classification of sleep phases and on the other hand can be detected by non-invasive methods.
| Author: | Ralf SeepoldORCiDGND, Maksym GaidukORCiD, Thomas PenzelORCiDGND, Natividad Martínez MadridORCiD |
|---|---|
| Parent Title (English): | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), 18-21 July 2018, Hawaii Convention Center Honolulu, HI, USA |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2018 |
| Release Date: | 2019/01/16 |
| Tag: | Sleep study; Sleep stages |
| Institutes: | Fakultät Informatik |
| Open Access?: | Nein |
