Automatic sleep scoring in normals and in individuals with neurodegenerative disorders according to new international sleep scoring criteria

Peter S. Jensen, Helge Bjarup Dissing Sørensen, P. J. Jennum

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Abstract

Introduction: Reliable polysomnographic classification is the basis for evaluation of sleep disorders in neurological diseases. Aim: To develop a fully automatic sleep scoring algorithm on the basis of a reproduction of new international sleep scoring criteria from the American Academy of Sleep Medicine (AASM). Methods: A biomedical signal processing algorithm was developed, allowing for automatic sleep depth quantification of routine polysomnographic (PSG) recordings through feature extraction, supervised probabilistic Bayesian classification, and heuristic rule-based smoothing. The performance of the algorithm was tested using 28 manually classified day-night PSGs from 18 normal subjects and 10 patients with Parkinson's disease (PD) or multiple system atrophy (MSA). This led to quantification of automaticversus- manual epoch-by-epoch agreement rates for both normal and abnormal recordings. Results: Resulting average agreement rates were 87.7% (Cohen’s Kappa: 0.79) and 68.2%(Cohen’s Kappa: 0.26) in the normal and abnormal group, respectively. Based on an observed reliability of the manual scorer of 92.5% (Cohen’s Kappa: 0.87) in the normal group and 85.3% (Cohen’s Kappa: 0.73) in the abnormal group. Conclusion: The developed algorithm was capable of scoring normal sleep with an accuracy around the manual inter-scorer reliability, it failed in accurately scoring abnormal sleep as encountered for the PD/MSA patients, which is due to the abnormal micro- and macrostructure pattern in these patients.
Original languageEnglish
JournalEuropean Journal of Neurology
Volume17
Issue numberSupplement s3
Pages (from-to)624
ISSN1351-5101
DOIs
Publication statusPublished - 2010
Event14th Congress of European Federation of Neurological Societies - Geneva, Switzerland
Duration: 25 Sep 201028 Sep 2010
Conference number: 14
http://www2.kenes.com/efns2010/pages/home.aspx

Conference

Conference14th Congress of European Federation of Neurological Societies
Number14
CountrySwitzerland
CityGeneva
Period25/09/201028/09/2010
Internet address

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