가속도계를 이용한 광전용적맥파의 동잡음 제거
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강정훈 | - |
dc.contributor.author | 조백환 | - |
dc.contributor.author | 이종실 | - |
dc.contributor.author | 지영준 | - |
dc.contributor.author | 김인영 | - |
dc.contributor.author | 김선일 | - |
dc.date.accessioned | 2022-12-21T07:30:37Z | - |
dc.date.available | 2022-12-21T07:30:37Z | - |
dc.date.created | 2022-09-19 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.issn | 1229-0807 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179971 | - |
dc.description.abstract | With the convergence of ubiquitous networking and medical technologies, ubiquitous healthcare(U-Healthcare) service has come in our life, which enables a patient to receive medical services at anytime and anywhere. In the u-Healthcare environment, intelligent real-time biosignal aquisition/analysis techniques are inevitable. In this study, we propose a motion artifact cancelation method in portable photoplethysmography(PPG) signal aquisition using an accelerometer and an adaptive filter. A preliminary experiment represented that the component of the pedestrian motion artifact can be found under 5Hz in the spectral analysis. Therefore, we collected PPG signals under both simulated conditions with a motor that generates circular motion with uniform velocity (from 1 to 5Hz) and a real walking condition. We then reduced the motion artifact using a recursive least square adaptive filter which takes the accelerometer output as a noise reference. The results showed that the adaptive filter can remove the motion artifact effectively and recover peak points in PPG signals, which represents our method can be useful to detect heart rate in real walking condition. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 대한의용생체공학회 | - |
dc.title | 가속도계를 이용한 광전용적맥파의 동잡음 제거 | - |
dc.title.alternative | A study on accelerometer based motion artifact reduction in Photoplethysmography signal | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김인영 | - |
dc.identifier.bibliographicCitation | 의공학회지, v.28, no.3, pp.369 - 376 | - |
dc.relation.isPartOf | 의공학회지 | - |
dc.citation.title | 의공학회지 | - |
dc.citation.volume | 28 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 369 | - |
dc.citation.endPage | 376 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001063891 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | ubiquitous healthcare | - |
dc.subject.keywordAuthor | photoplethysmography | - |
dc.subject.keywordAuthor | recursive least square | - |
dc.subject.keywordAuthor | motion artifact | - |
dc.subject.keywordAuthor | noise cancelation | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART001063891 | - |
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