KMID : 1144120170070040299
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Biomedical Engineering Letters 2017 Volume.7 No. 4 p.299 ~ p.304
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Novel tailoring algorithm for abrupt motion artifact removal in photoplethysmogram signals
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Pu Limeng
Chacon Pedro J. Wu Hsiao-Chun Choi Jin-Woo
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Abstract
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Photoplethysmogram (PPG) signals are widely used for wearable electronic devices nowadays. The PPG signal is extremely sensitive to the motion artifacts (MAs) caused by the subject¡¯s movement. The detection and removal of such MAs remains a difficult problem. Due to the complicated MA signal waveforms, none of the existing techniques can lead to satisfactory results. In this paper, a new framework to identify and tailor the abrupt MAs in PPG is proposed, which consists of feature extraction, change-point detection, and MA removal. In order to achieve the optimal performance, a data-dependent frame-size determination mechanism is employed. Experiments for the heart-beat-rate-measurement application have been conducted to demonstrate the effectiveness of our proposed method, by a correct detection rate of MAs at 98% and the average heart-beat-rate tracking accuracy above 97%. On the other hand, this new framework maintains the original signal temporal structure unlike the spectrum-based approach, and it can be further applied for the calculation of blood oxygen level (SpO2).
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KEYWORD
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Photoplethysmogram, Motion artifact (MA) removal, Short-time variance, Automatic frame-size determination, Heart rate (HR)
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