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Computer program for automated sleep depth estimation
Authors:Saastamoinen Antti  Huupponen Eero  Värri Alpo  Hasan Joel  Himanen Sari-Leena
Affiliation:Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33721 Tampere, Finland. antti.saastamoinen@tut.fi
Abstract: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.
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