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Predicate | Object |
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rdf:type | |
lifeskim:mentions |
umls-concept:C0030705,
umls-concept:C0037319,
umls-concept:C0205307,
umls-concept:C0205554,
umls-concept:C0234621,
umls-concept:C0681850,
umls-concept:C0870951,
umls-concept:C0936012,
umls-concept:C1550501,
umls-concept:C1552081,
umls-concept:C1706203,
umls-concept:C1707455,
umls-concept:C2349001,
umls-concept:C2697811
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pubmed:issue |
1
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pubmed:dateCreated |
1996-7-23
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pubmed:abstractText |
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.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
0161-8105
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
19
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
26-35
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pubmed:dateRevised |
2009-1-29
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pubmed:meshHeading |
pubmed-meshheading:8650459-Adult,
pubmed-meshheading:8650459-Aged,
pubmed-meshheading:8650459-Automatic Data Processing,
pubmed-meshheading:8650459-Benzodiazepines,
pubmed-meshheading:8650459-Depressive Disorder,
pubmed-meshheading:8650459-Electroencephalography,
pubmed-meshheading:8650459-Female,
pubmed-meshheading:8650459-Humans,
pubmed-meshheading:8650459-Male,
pubmed-meshheading:8650459-Middle Aged,
pubmed-meshheading:8650459-Neural Networks (Computer),
pubmed-meshheading:8650459-Observer Variation,
pubmed-meshheading:8650459-Polysomnography,
pubmed-meshheading:8650459-Sleep, REM,
pubmed-meshheading:8650459-Sleep Initiation and Maintenance Disorders,
pubmed-meshheading:8650459-Sleep Stages
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pubmed:year |
1996
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pubmed:articleTitle |
Sleep stage scoring using the neural network model: comparison between visual and automatic analysis in normal subjects and patients.
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pubmed:affiliation |
Institute for Research in Neurosciences and Psychiatry, Centre Hospitalier, Rouffach, France.
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pubmed:publicationType |
Journal Article,
Comparative Study
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