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The estimation method of physical activity energy expenditure considering heart rate variability

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dc.contributor.authorKim, Do-Hyoung-
dc.contributor.authorCho, J.S.-
dc.contributor.authorOh, Hong Sic-
dc.contributor.authorChee, Young Joon-
dc.contributor.authorKim, In Young-
dc.date.accessioned2022-12-20T20:49:52Z-
dc.date.available2022-12-20T20:49:52Z-
dc.date.created2022-09-16-
dc.date.issued2009-09-
dc.identifier.issn0276-6574-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/176220-
dc.description.abstractThe purpose of this research was to effectively estimate the physical activity energy expenditure considering acceleration and ECG using the developed holter that is contained a tri-axial accelerometer. For this research, we developed the specific device that can measure three channels' ECG and three axes' accelerations simultaneously. The every experiment was processed by the designed protocol in laboratory environment, and each subject performed the protocol wearing our device and portable gas analyzer together. Three signals of acceleration were processed using the integration method, and the meaningful parameter was extracted through the frequency analysis of heart rate. Before the regression analysis, significant parameters were selected by correlation analysis, and then the estimating equation of physical activity energy expenditure was found out through the linear multiple regression analysis.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleThe estimation method of physical activity energy expenditure considering heart rate variability-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, In Young-
dc.identifier.scopusid2-s2.0-77952676700-
dc.identifier.bibliographicCitationComputers in Cardiology, v.36, pp.413 - 416-
dc.relation.isPartOfComputers in Cardiology-
dc.citation.titleComputers in Cardiology-
dc.citation.volume36-
dc.citation.startPage413-
dc.citation.endPage416-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCorrelation analysis-
dc.subject.keywordPlusEstimation methods-
dc.subject.keywordPlusFrequency Analysis-
dc.subject.keywordPlusGas analyzers-
dc.subject.keywordPlusHeart rate variability-
dc.subject.keywordPlusHeart rates-
dc.subject.keywordPlusIntegration method-
dc.subject.keywordPlusLaboratory environment-
dc.subject.keywordPlusLinear multiple regression-
dc.subject.keywordPlusPhysical activity-
dc.subject.keywordPlusThree axes-
dc.subject.keywordPlusThree channel-
dc.subject.keywordPlusTriaxial accelerometer-
dc.subject.keywordPlusCardiology-
dc.subject.keywordPlusElectrocardiography-
dc.subject.keywordPlusElectrochromic devices-
dc.subject.keywordPlusRegression analysis-
dc.subject.keywordPlusMetal analysis-
dc.identifier.urlhttps://ieeexplore.ieee.org/abstract/document/5445383-
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