Similarity searching based boundary effect processing method for empirical mode decomposition

2007 ◽  
Vol 43 (1) ◽  
pp. 58 ◽  
Author(s):  
J. Wang ◽  
Y. Peng ◽  
X. Peng
Keyword(s):  
Empirical Mode Decomposition ◽  
Boundary Effect ◽  
Processing Method ◽  
Similarity Searching ◽  
Mode Decomposition

L2-EMD Filter Design for Photoplethysmography Signal

2013 ◽  
Vol 479-480 ◽  
pp. 486-490
Author(s):  
Ya Wen Tang ◽  
Yue Der Lin
Keyword(s):  
Empirical Mode Decomposition ◽  
Input Signal ◽  
Filter Design ◽  
Boundary Effect ◽  
Stable State ◽  
Motion Artifact ◽  
Noise Elimination ◽  
Mode Decomposition ◽  
L2 Norm ◽  
Environment Noise

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.

Signal Processing Method Based on Empirical Mode Decomposition in the SO2Concentration Monitoring

2014 ◽  
Vol 43 (2) ◽  
pp. 228002
Author(s):  
王书涛 WANG Shu-tao ◽  
李梅梅 LI Mei-mei ◽  
李盼 LI Pan ◽  
刘铭华 LIU Ming-hua ◽  
王丽媛 WANG Li-yuan ◽  
...  
Keyword(s):  
Signal Processing ◽  
Empirical Mode Decomposition ◽  
Processing Method ◽  
Signal Processing Method ◽  
Mode Decomposition
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