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Noninvasive pulmonary arterial pressure estimation using a logistic-based systolic model

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dc.contributor.authorRoh, Hyunsuk Frank-
dc.contributor.authorKim, Jung Mogg-
dc.date.accessioned2022-07-12T00:50:06Z-
dc.date.available2022-07-12T00:50:06Z-
dc.date.created2021-05-12-
dc.date.issued2018-04-
dc.identifier.issn0010-4825-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150264-
dc.description.abstractRationale: A hemodynamic relationship of pulmonary artery pressure (PAP) to pulmonary acceleration time (PACT) has not yet been explicitly presented. Objective: We employed a logistic-based systolic model with a subtle modification for pulmonary circulation and provided a logical ground for the relationship between systolic PAP and PAcT using transthoracic echocardiography. Additionally, the logistic-based PAP estimation equation was deduced from the model to relate systolic PAP and PAcT. Methods and results: This equation was statistically tested in comparison to existing PAP estimation equations. Results showed that the logistic-based PAP estimation equation was at least as accurate as previous equations with respect to previously published mean PAP versus PACT values. After the subtle pulmonary modification of the model, the pulmonary blood flow velocity and pressure not only well reflected the underlying pulmonary circulation physiology, but could also be presented in harmony with systemic circulation physiology. Conclusions: A future clinical study with actual systolic PAP versus PACT measurements is needed to test the application of the logistic-based PAP estimation equation.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleNoninvasive pulmonary arterial pressure estimation using a logistic-based systolic model-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Jung Mogg-
dc.identifier.doi10.1016/j.compbiomed.2018.02.015-
dc.identifier.scopusid2-s2.0-85042864561-
dc.identifier.wosid000430768000020-
dc.identifier.bibliographicCitationCOMPUTERS IN BIOLOGY AND MEDICINE, v.95, pp.209 - 216-
dc.relation.isPartOfCOMPUTERS IN BIOLOGY AND MEDICINE-
dc.citation.titleCOMPUTERS IN BIOLOGY AND MEDICINE-
dc.citation.volume95-
dc.citation.startPage209-
dc.citation.endPage216-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusPULSED DOPPLER-ECHOCARDIOGRAPHY-
dc.subject.keywordPlusACCELERATION TIME-
dc.subject.keywordPlusHYPERTENSION-
dc.subject.keywordPlusVELOCITY-
dc.subject.keywordPlusRESISTANCE-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordAuthorLogistic-based modeling-
dc.subject.keywordAuthorHemodynamics-
dc.subject.keywordAuthorPulmonary artery acceleration time-
dc.subject.keywordAuthorPulmonary artery pressure-
dc.subject.keywordAuthorTransthoracic echocardiography-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0010482518300453?via%3Dihub-
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