期刊
COMPUTERS IN BIOLOGY AND MEDICINE
卷 42, 期 4, 页码 387-393出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2011.12.005
关键词
Photoplethysmograph; Daily life motion; Motion artifact; Artifact reduction; Active noise cancellation
类别
资金
- National Research Foundation of Korea (NRF)
- Ministry of Education, Science and Technology [20110020934]
- National Research Foundation of Korea [2010-0020449] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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. (c) 2011 Elsevier Ltd. All rights reserved.
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