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Separation of respiratory influences from the tachogram: a methodological evaluation

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dc.creatorWidjaja, Devyspa
dc.creatorCaicedo Dorado, Alexander
dc.creatorVlemincx, Elkespa
dc.creatorVan Diest, Ilsespa
dc.creatorVan Huffel, Sabinespa
dc.date.accessioned2020-08-19T14:40:34Z
dc.date.available2020-08-19T14:40:34Z
dc.date.created2014-07-08spa
dc.description.abstractThe variability of the heart rate (HRV) is widely studied as it contains information about the activity of the autonomic nervous system (ANS). However, HRV is influenced by breathing, independently of ANS activity. It is therefore important to include respiratory information in HRV analyses in order to correctly interpret the results. In this paper, we propose to record respiratory activity and use this information to separate the tachogram in two components: one which is related to breathing and one which contains all heart rate variations that are unrelated to respiration. Several algorithms to achieve this have been suggested in the literature, but no comparison between the methods has been performed yet. In this paper, we conduct two studies to evaluate the methods' performances to accurately decompose the tachogram in two components and to assess the robustness of the algorithms. The results show that orthogonal subspace projection and an ARMAX model yield the best performances over the two comparison studies. In addition, a real-life example of stress classification is presented to demonstrate that this approach to separate respiratory information in HRV studies can reveal changes in the heart rate variations that are otherwise masked by differing respiratory patterns.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0101713
dc.identifier.issnEISSN: 1932-6203
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26935
dc.language.isoengspa
dc.publisherPLOS Public Library of Sciencespa
dc.relation.citationIssueNo. 7
dc.relation.citationStartPageE101713
dc.relation.citationTitlePLoS One
dc.relation.citationVolumeVol. 9
dc.relation.ispartofPLoS One, EISSN: 1932-6203, Vol.9, No.7 (July 2014); pp. E101713spa
dc.relation.urihttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0101713&type=printablespa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourcePLoS Onespa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordAlgorithmsspa
dc.subject.keywordHeart ratespa
dc.subject.keywordSignal filteringspa
dc.subject.keywordBlood pressurespa
dc.subject.keywordRespirationspa
dc.subject.keywordSimulation and modelingspa
dc.subject.keywordBreathingspa
dc.subject.keywordElectrocardiographyspa
dc.titleSeparation of respiratory influences from the tachogram: a methodological evaluationspa
dc.title.TranslatedTitleSeparación de las influencias respiratorias del tacograma: una evaluación metodológicaspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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