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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.

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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
Year of Publication:2018
Release Date:2019/01/16
Tag:Sleep study; Sleep stages
Institutes:Fakultät Informatik
Relevance:Externer wissenschaftlicher Fachvortrag oder Poster
Open Access?:Nein