Linked Life Data

14633332

Source:http://linkedlifedata.com/resource/pubmed/id/14633332

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SubjectPredicateObjectContext
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pubmed-article:14633332pubmed:dateCreated2003-11-24lld:pubmed
pubmed-article:14633332pubmed:abstractTextThis paper presents a general method to fit the Schöner-Haken-Kelso (SHK) model of human movement phase transitions directly to time series data. A robust variant of the extended Kalman filter technique is applied to the data of a single subject. The options of covariance resetting and iteration within recursion were used to obtain time-dependent estimates of both the alpha and beta parameters in the SHK model. Comparison between transition onset time and the time at which /beta(t/T)/alpha(t/T)/ becomes critical indicates that the transitions are advanced by noise. The method can be extended to handle non-normal data and generalization across subjects and/or experimental conditions.lld:pubmed
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pubmed-article:14633332pubmed:authorpubmed-author:NewellKarl...lld:pubmed
pubmed-article:14633332pubmed:authorpubmed-author:MolenaarPeter...lld:pubmed
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pubmed-article:14633332pubmed:volume56lld:pubmed
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pubmed-article:14633332pubmed:pagination199-214lld:pubmed
pubmed-article:14633332pubmed:dateRevised2009-11-11lld:pubmed
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pubmed-article:14633332pubmed:year2003lld:pubmed
pubmed-article:14633332pubmed:articleTitleDirect fit of a theoretical model of phase transition in oscillatory finger motions.lld:pubmed
pubmed-article:14633332pubmed:affiliationDepartment of Psychology, University of Amsterdam, The Netherlands. op_molenaar@macmail.psy.uva.nllld:pubmed
pubmed-article:14633332pubmed:publicationTypeJournal Articlelld:pubmed
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