TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Seepold, Ralf
A1  - Gaiduk, Maksym
A1  - Penzel, Thomas
A1  - Martínez Madrid, Natividad
T1  - Contactless detection of sleep phases with the help of regression analysis
BT  - Fachvortrag
T2  - 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
N2  - 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.
KW  - Sleep study
KW  - Sleep stages
Y1  - 2018
ER  -