Algorithms and procedures to analyze physiological signals in psychophysiological research

dc.contributor.advisor Julie A. Dickerson
dc.contributor.advisor Ralph Adolphs Etzel, Joset
dc.contributor.department Electrical and Computer Engineering
dc.contributor.other Electrical and Computer Engineering 2018-08-25T03:21:48.000 2020-06-30T07:21:50Z 2020-06-30T07:21:50Z 2006-01-01
dc.description.abstract <p>This dissertation presents analytical techniques which allow more information to be derived from psychophysiological data than possible with traditional methods. The techniques include an implemented algorithm for chest strain-gauge respiration signal analysis and a permutation testing method for evaluating changes over time in physiological signals. These methods are applied to three data sets, each examining physiological correlates of emotional experience. In the first study physiological correlates of moods induced using music were identified, although respiration entrainment confounds the issue of whether mood or the music caused the observed patterns. The second study examined physiological responses while subjects watched an emotion-inducing movie under three emotion-regulation conditions; changes relating both to the movie scenes and condition were identified. Finally, the third study evaluated short term changes in heart rate while viewing words in terms of the type of word viewed and later word recall.</p>
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dc.identifier archive/
dc.identifier.articleid 2254
dc.identifier.contextkey 6093708
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/1255
dc.source.bitstream archive/|||Fri Jan 14 19:24:12 UTC 2022
dc.subject Electrical and computer engineering
dc.subject Bioinformatics and computational biology
dc.title Algorithms and procedures to analyze physiological signals in psychophysiological research
dc.type dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff Doctor of Philosophy
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