Computer program for automated sleep depth estimation

Authors:
Antti Saastamoinen;Eero Huupponen;Alpo Värri;Joel Hasan;Sari-Leena Himanen
Affiliations:
Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33721 Tampere, Finland;Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33721 Tampere, Finland;Tampere University of Technology, Institute of Signal Processing, P.O. Box 553, FIN-33721 Tampere, Finland;Department of Clinical Neurophysiology, Tampere University Hospital, P.O. Box 2000, FIN-33521 Tampere, Finland;Department of Clinical Neurophysiology, Tampere University Hospital, P.O. Box 2000, FIN-33521 Tampere, Finland
Venue:
Computer Methods and Programs in Biomedicine
Year:
2006

Citing 2
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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.