Title :
Motion artifact elimination using adaptive filter based on wavelet transform in pulse wave measurement
Author :
Xiaoyan, Qiao ; Feng, Yao ; Youer, Dong
Author_Institution :
Coll. of Phys. & Electron. Eng., Shanxi Univ., Taiyuan, China
Abstract :
Measuring accuracy is very easily influenced by motion artifact in the measurement of pulse wave. Original pulse wave signal is processed by adaptive filter based on the wavelet transform to obtain higher amplitude detection precision and stronger motion artifact inhibition in photoplethysmography pulse wave measurement. Firstly, pulse wave is decomposed and motion artifact is reconstructed by Mallat algorithm based on wavelet transform multi-resolution analysis. Then, motion artifact is cancelled as reference signal of adaptive noise canceller. This method can eliminate motion artifact mostly without the loss of useful pulse wave signal. Accordingly the precision of pulse wave measurement could be further improved.
Keywords :
adaptive filters; pulse measurement; signal processing; wavelet transforms; Mallat algorithm; adaptive filter; adaptive noise canceller; amplitude detection precision; motion artifact elimination; photoplethysmography pulse wave measurement; wavelet transform multiresolution analysis; Adaptive filters; Adaptive signal detection; Algorithm design and analysis; Motion analysis; Motion detection; Motion measurement; Pulse measurements; Signal processing; Wavelet analysis; Wavelet transforms; Adaptive Filter; Motion Artifact; Pulse Wave; Wavelet Transform;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357661
