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Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors

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dc.contributor.authorBaek, Hyun Jae-
dc.contributor.authorKim, Ko Keun-
dc.contributor.authorKim, Jung Soo-
dc.contributor.authorLee, Boreom-
dc.contributor.authorPark, Kwang Suk-
dc.date.accessioned2012-06-29T02:24:20Z-
dc.date.available2012-06-29T02:24:20Z-
dc.date.issued2010-02-
dc.identifier.citationPHYSIOLOGICAL MEASUREMENT; Vol.31 2; 145-157ko_KR
dc.identifier.issn0967-3334-
dc.identifier.urihttp://hdl.handle.net/10371/77891-
dc.description.abstractA new method of blood pressure (BP) estimation using multiple regression with pulse arrival time (PAT) and two confounding factors was evaluated in clinical and unconstrained monitoring situations. For the first analysis with clinical data, electrocardiogram (ECG), photoplethysmogram (PPG) and invasive BP signals were obtained by a conventional patient monitoring device during surgery. In the second analysis, ECG, PPG and non-invasive BP were measured using systems developed to obtain data under conditions in which the subject was not constrained. To enhance the performance of BP estimation methods, heart rate (HR) and arterial stiffness were considered as confounding factors in regression analysis. The PAT and HR were easily extracted from ECG and PPG signals. For arterial stiffness, the duration from the maximum derivative point to the maximum of the dicrotic notch in the PPG signal, a parameter called TDB, was employed. In two experiments that normally cause BP variation, the correlation between measured BP and the estimated BP was investigated. Multiple-regression analysis with the two confounding factors improved correlation coefficients for diastolic blood pressure and systolic blood pressure to acceptable confidence levels, compared to existing methods that consider PAT only. In addition, reproducibility for the proposed method was determined using constructed test sets. Our results demonstrate that non-invasive, non-intrusive BP estimation can be obtained using methods that can be applied in both clinical and daily healthcare situations.ko_KR
dc.description.sponsorshipThis work was supported by a grant from the Advanced Biometric Research Center (ABRC)
of the Korea Science and Engineering Foundation (KOSEF) and the Strategic Technology
Development Program funded by the Ministry of Knowledge Economy (MKE), Korea.
ko_KR
dc.language.isoenko_KR
dc.publisherIOP PUBLISHING LTDko_KR
dc.subjectBPko_KR
dc.subjectmultiple-regression analysisko_KR
dc.subjectarterial stiffnessko_KR
dc.subjectPATko_KR
dc.subjectheart rateko_KR
dc.titleEnhancing the estimation of blood pressure using pulse arrival time and two confounding factorsko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor백현재-
dc.contributor.AlternativeAuthor김고근-
dc.contributor.AlternativeAuthor김정수-
dc.contributor.AlternativeAuthor이보름-
dc.contributor.AlternativeAuthor박광석-
dc.identifier.doi10.1088/0967-3334/31/2/002-
dc.citation.journaltitlePHYSIOLOGICAL MEASUREMENT-
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College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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