Document Detail


Sleep stage scoring using the neural network model: comparison between visual and automatic analysis in normal subjects and patients.
MedLine Citation:
PMID:  8650459     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper, we compare and analyze the results from automatic analysis and visual scoring of nocturnal sleep recordings. The validation is based on a sleep recording set of 60 subjects (33 males and 27 females), consisting of three groups: 20 normal controls subjects, 20 depressed patients and 20 insomniac patients treated with a benzodiazepine. The inter-expert variability estimated from these 60 recordings (61,949 epochs) indicated an average agreement rate of 87.5% between two experts on the basis of 30-second epochs. The automatic scoring system, compared in the same way with one expert, achieved an average agreement rate of 82.3%, without expert supervision. By adding expert supervision for ambiguous and unknown epochs, detected by computation of an uncertainty index and unknown rejection, the automatic/expert agreement grew from 82.3% to 90%, with supervision over only 20% of the night. Bearing in mind the composition and the size of the test sample, the automated sleep staging system achieved a satisfactory performance level and may be considered a useful alternative to visual sleep stage scoring for large-scale investigations of human sleep.
Authors:
N Schaltenbrand; R Lengelle; M Toussaint; R Luthringer; G Carelli; A Jacqmin; E Lainey; A Muzet; J P Macher
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Sleep     Volume:  19     ISSN:  0161-8105     ISO Abbreviation:  Sleep     Publication Date:  1996 Jan 
Date Detail:
Created Date:  1996-07-23     Completed Date:  1996-07-23     Revised Date:  2009-01-29    
Medline Journal Info:
Nlm Unique ID:  7809084     Medline TA:  Sleep     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  26-35     Citation Subset:  IM    
Affiliation:
Institute for Research in Neurosciences and Psychiatry, Centre Hospitalier, Rouffach, France.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Automatic Data Processing
Benzodiazepines / therapeutic use*
Depressive Disorder / drug therapy*,  psychology
Electroencephalography
Female
Humans
Male
Middle Aged
Neural Networks (Computer)*
Observer Variation*
Polysomnography
Sleep Initiation and Maintenance Disorders / drug therapy*
Sleep Stages
Sleep, REM
Chemical
Reg. No./Substance:
12794-10-4/Benzodiazepines

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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