Paper Info
Title
Automatic sleep spindle detection in patients with sleep disorders.
Abstract
In this paper, we present a new automatic method for sleep spindle detection. It consist of a generalisation of the Schimicek's method that takes more types of artefacts into account and uses variable thresholds regarding the statistical properties of the signal. Validity of our process is examined on the basis of visual spindle scoring performed by an expert. Results obtained are compared to those obtained by Schimicek's method. For a specificity of 90%, we obtain a sensitivity of 76.9% while Schimicek's method has a sensitivity of 70.4%. Moreover an increase of the area under the ROC curve is observed and confirms that the detection process is improved.
Year
DOI
Venue
2006
10.1109/IEMBS.2006.259298
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Keywords
DocType
Volume
electroencephalography,neurophysiology,sensitivity analysis,sleep,statistical analysis,EEG recording,ROC curve,Schimicek's method,automatic sleep spindle detection,sleep disorders,statistical properties
Conference
1
ISSN
Citations 
PageRank 
1557-170X
2
0.39
References 
Authors
1
7
Name
Order
Citations
PageRank
S Devuyst120.39
T. Dutoit231330.47
J F Didier320.39
F Meers420.39
E Stanus520.39
P Stenuit620.39
M Kerkhofs720.39