Linked Life Data

17652020

Source:http://linkedlifedata.com/resource/pubmed/id/17652020

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2007-8-7
pubmed:abstractText
The objective of this study is the development and evaluation of efficient neurophysiological signal statistics, which may assess the driver's alertness level and serve as potential indicators of sleepiness in the design of an on-board countermeasure system.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1388-2457
pubmed:author
pubmed:issnType
Print
pubmed:volume
118
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1906-22
pubmed:dateRevised
2008-9-10
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents.
pubmed:affiliation
Aristotle University of Thessaloniki, School of Medicine, Laboratory of Medical Informatics, PO Box 323, 54124 Thessaloniki, Greece. cpapad@med.auth.gr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't