Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method

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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. (c) 2011 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2012-04
Language
English
Article Type
Article
Keywords

MOVEMENTS; WALKING; FORCE

Citation

COMPUTERS IN BIOLOGY AND MEDICINE, v.42, no.4, pp.387 - 393

ISSN
0010-4825
DOI
10.1016/j.compbiomed.2011.12.005
URI
http://hdl.handle.net/10203/101203
Appears in Collection
ME-Journal Papers(저널논문)
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