Sleep Depth Oscillations: An Aspect to Consider in Automatic Sleep Analysis

Authors:
Eero Huupponen;Sari-Leena Himanen;Joel Hasan;Alpo Vä/rri
Affiliations:
Signal Processing Laboratory, Tampere University of Technology, Korkeakoulunkatu 1, FIN 33101 Tampere, Finland/ eeroh@cs.tut.fi;Department of Clinical Neurophysiology, Tampere University Hospital, Finland;Department of Clinical Neurophysiology, Tampere University Hospital, Finland;Signal Processing Laboratory, Tampere University of Technology, Korkeakoulunkatu 1, FIN 33101 Tampere, Finland
Venue:
Journal of Medical Systems
Year:
2003

Citing 1
Cited 2

Autoassociative MLP in Sleep Spindle Detection

Journal of Medical Systems

Anteroposterior Difference in EEG Sleep Depth Measure is Reduced in Apnea Patients

Journal of Medical Systems
Computer program for automated sleep depth estimation

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

The automatic sleep analysis aims at providing an accurate description of sleep process. We found that there exist so far poorly known sleep depth oscillations constantly. Quantitative analysis of these oscillations was done in this work via a mean frequency measure and FFT. Overall charasteristics of these oscillations were studied, focusing on the waves with period times of 50–150 s. These sleep depth oscillations have a relatively large amplitude and they should be considered in future sleep analysis systems. The results of this study give directions to automated sleep analysis regarding optimal estimation of sleep depth.