L2-EMD Filter Design for Photoplethysmography Signal

Ya Wen Tang; Yue Der Lin

doi:10.4028/www.scientific.net/AMM.479-480.486

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 479-480L2-EMD Filter Design for Photoplethysmography...

L2-EMD Filter Design for Photoplethysmography Signal

Abstract:

Photoplethysmography (PPG) is a noninvasive bio-signal measurement technique used to monitor peripheral hemal circulatory circumstance. Generally, PPG signal is treated as a morphologically equivalent signal of pulse signals. To prevent the affection of environment noise or motion artifact, an empirical mode decomposition (EMD) base filter with L2 norm similarity selector is proposed in this article. In this experiment, PPG signal of twelve healthy subjects is acquired with a stable state. The acquired PPG signals are mixed with different level white noise to exam the filter capability. 30dB SNR and 60dB SNR noisy PPG signals were adopted and applied with empirical mode decomposition to extract the imply mode of the input signal. After that, a l2-norm calculation is used to evaluate the similarity between each extracted intrinsic mode function (IMF) and the input signal. The high similarity IMFs are collected and used to reconstruct the filtered signal. Although the reconstructed signals may suffer a serious boundary effect as EMD faced, the results show effective noise elimination and prove the l2-EMD filter capability of PPG signals.

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Periodical:

Applied Mechanics and Materials (Volumes 479-480)

Pages:

486-490

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.479-480.486

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Online since:

December 2013

Authors:

Ya Wen Tang, Yue Der Lin

Keywords:

Empirical Mode Decomposition (EMD), Norm Distance, Photoplethysmography

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