Linked Life Data

18003180

Source:http://linkedlifedata.com/resource/pubmed/id/18003180

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-11-16
pubmed:abstractText
Sleep quality is one of the key elements of the human health status. By observing sleep patterns we can gain information about personal wellbeing. Consumer electronic sleep analysis solutions are now available for use in long-term conditions. In this study we compare different measures for total sleep time and sleep quality. We analyzed visually long- term sleep data collected with actigraphy, sleep logs and ambient sensors to gain more reliable results and compared these results to each single method's output. Correlations of visually analyzed total sleep time between actigraphy total sleep time (correlation coefficient (r) = 0.662, p <0.01) and sleep log total sleep time (r = 0.787, p <0.01) were high. Also comparison between subjective and objective sleep quality was analyzed and small, but significant correlation was found (r = 0.270, p < 0.01).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2007
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5202-5
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Long-term subjective and objective sleep analysis of total sleep time and sleep quality in real life settings.
pubmed:affiliation
VTT Technical Research Centre of Finland, Tampere, Finland. juho.merilahti@vtt.fi
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't