The estimation method of physical activity energy expenditure considering heart rate variability
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Do-Hyoung | - |
dc.contributor.author | Cho, J.S. | - |
dc.contributor.author | Oh, Hong Sic | - |
dc.contributor.author | Chee, Young Joon | - |
dc.contributor.author | Kim, In Young | - |
dc.date.accessioned | 2022-12-20T20:49:52Z | - |
dc.date.available | 2022-12-20T20:49:52Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2009-09 | - |
dc.identifier.issn | 0276-6574 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/176220 | - |
dc.description.abstract | The 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | The estimation method of physical activity energy expenditure considering heart rate variability | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, In Young | - |
dc.identifier.scopusid | 2-s2.0-77952676700 | - |
dc.identifier.bibliographicCitation | Computers in Cardiology, v.36, pp.413 - 416 | - |
dc.relation.isPartOf | Computers in Cardiology | - |
dc.citation.title | Computers in Cardiology | - |
dc.citation.volume | 36 | - |
dc.citation.startPage | 413 | - |
dc.citation.endPage | 416 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Correlation analysis | - |
dc.subject.keywordPlus | Estimation methods | - |
dc.subject.keywordPlus | Frequency Analysis | - |
dc.subject.keywordPlus | Gas analyzers | - |
dc.subject.keywordPlus | Heart rate variability | - |
dc.subject.keywordPlus | Heart rates | - |
dc.subject.keywordPlus | Integration method | - |
dc.subject.keywordPlus | Laboratory environment | - |
dc.subject.keywordPlus | Linear multiple regression | - |
dc.subject.keywordPlus | Physical activity | - |
dc.subject.keywordPlus | Three axes | - |
dc.subject.keywordPlus | Three channel | - |
dc.subject.keywordPlus | Triaxial accelerometer | - |
dc.subject.keywordPlus | Cardiology | - |
dc.subject.keywordPlus | Electrocardiography | - |
dc.subject.keywordPlus | Electrochromic devices | - |
dc.subject.keywordPlus | Regression analysis | - |
dc.subject.keywordPlus | Metal analysis | - |
dc.identifier.url | https://ieeexplore.ieee.org/abstract/document/5445383 | - |
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