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Design of ICA to Extract Respiration Signal From PPG Signal
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이주원 | - |
| dc.contributor.author | 이병로 | - |
| dc.date.accessioned | 2022-12-27T03:18:38Z | - |
| dc.date.available | 2022-12-27T03:18:38Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.issn | 2234-8255 | - |
| dc.identifier.issn | 2234-8883 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/24018 | - |
| dc.description.abstract | Respiration signal of the vital signs is an important parameter in clinical parts. To extract the respiration signal from PPG signal for mobile healthcare system is difficult because the bands of the motion artifacts and respiration in the frequency domain are overlapped. This study to improve this problem suggested a respiration extraction method using the independent component analysis and evaluated its performances. In results of evaluation, the ICA method showed better performance than LPF suggested recently. | - |
| dc.format.extent | 4 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국정보통신학회 | - |
| dc.title | Design of ICA to Extract Respiration Signal From PPG Signal | - |
| dc.title.alternative | Design of ICA to Extract Respiration Signal From PPG Signal | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.bibliographicCitation | Journal of Information and Communication Convergence Engineering, v.9, no.2, pp 220 - 223 | - |
| dc.citation.title | Journal of Information and Communication Convergence Engineering | - |
| dc.citation.volume | 9 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 220 | - |
| dc.citation.endPage | 223 | - |
| dc.identifier.kciid | ART001549371 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | mobile healthcare | - |
| dc.subject.keywordAuthor | respiration signal | - |
| dc.subject.keywordAuthor | photoplethysmograph | - |
| dc.subject.keywordAuthor | independent component analysis. | - |
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Collections - 융합기술공과대학 > Division of Converged Electronic Engineering > Journal Articles
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