21901938

Source:http://linkedlifedata.com/resource/pubmed/id/21901938

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0025663, umls-concept:C0026603
pubmed:issue	4
pubmed:dateCreated	2011-9-9
pubmed:abstractText	Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0374660
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Aug
pubmed:issn	0018-7208
pubmed:author	pubmed-author:HechtHeikoH, pubmed-author:KeshavarzBehrangB
pubmed:issnType	Print
pubmed:volume	53
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	415-26
pubmed:meshHeading	pubmed-meshheading:21901938-Computer Simulation, pubmed-meshheading:21901938-Conflict (Psychology), pubmed-meshheading:21901938-Diagnostic Self Evaluation, pubmed-meshheading:21901938-Eye Movements, pubmed-meshheading:21901938-Humans, pubmed-meshheading:21901938-Motion Sickness, pubmed-meshheading:21901938-Nausea, pubmed-meshheading:21901938-Posture, pubmed-meshheading:21901938-Severity of Illness Index
pubmed:year	2011
pubmed:articleTitle	Validating an efficient method to quantify motion sickness.
pubmed:affiliation	Department of Experimental Psychology, Johannes Gutenberg-Universität Mainz, Germany. behrang.keshavarz@uni-mainz.de
pubmed:publicationType	Journal Article