Computer program for automated sleep depth estimation.
In this article, we present a new implementation of an amplitude-independent method for continuous-scale sleep depth estimation. Having been implemented as an add-on analysis module under commercially available biosignal recording and analysis software, it can be easily applied in clinical routine. The software gives the user full freedom to change all the analysis parameters inside theoretical limits. Computational sleep depth profiles produced by the presented software compare favourably with visual classifications. Future work will concentrate on systematic optimization of analysis parameters, further evaluation of the method with disturbed sleep and application of the method for automated adaptive sleep analysis.
Saastamoinen
Antti
A
Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33721 Tampere, Finland. antti.saastamoinen@tut.fi
Huupponen
Eero
E
Värri
Alpo
A
Hasan
Joel
J
Himanen
Sari-Leena
SL
D001330:Electronic Data Processing; D005387:Finland; D006801:Humans; D012890:Sleep / Q000502:physiology*; D012984:Software