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

Volume

4

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

319

Lastpage

322

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICISYS.2009.5357661

Filename

5357661