Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
467324 | Computer Methods and Programs in Biomedicine | 2006 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Antti Saastamoinen, Eero Huupponen, Alpo Värri, Joel Hasan, Sari-Leena Himanen,