| Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method. | |
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MedLine Citation:
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PMID: 22206810 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Signal distortion of photoplethysmographs (PPGs) due to motion artifacts has been a limitation for developing real-time, wearable health monitoring devices. The artifacts in PPG signals are analyzed by comparing the frequency of the PPG with a reference pulse and daily life motions, including typing, writing, tapping, gesturing, walking, and running. Periodical motions in the range of pulse frequency, such as walking and running, cause motion artifacts. To reduce these artifacts in real-time devices, a least mean square based active noise cancellation method is applied to the accelerometer data. Experiments show that the proposed method recovers pulse from PPGs efficiently. |
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Authors:
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Hyonyoung Han; Jung Kim |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-27 |
Journal Detail:
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Title: Computers in biology and medicine Volume: - ISSN: 1879-0534 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 1250250 Medline TA: Comput Biol Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Mechanical Engineering, KAIST, 373-1, Guseong-Dong, Yuseong-Gu, Daejeon, 305-701, Republic of Korea. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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