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2015 | OriginalPaper | Chapter

Denoising Pulse Wave Signal Based on Wavelet Decomposition

Authors : Aleksandr A. Fedotov, Anna S. Akulova, Sergey A. Akulov

Published in: 6th European Conference of the International Federation for Medical and Biological Engineering

Publisher: Springer International Publishing

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A method for multiresolution wavelet decomposition of pulse wave signal in the presence of motion artifacts is described. The problem of choosing optimal parameters of denoising pulse wave signal from motion artifacts is discussed. Optimal parameters of pulse wave signal wavelet filtration are defined by using the criterion of minimal biosignal distortion after filtering by comparison with a model signal free of motion artifacts.

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previous chapter Evaluation and Extraction of Mismatch Negativity through Independent Component Analysis and Wavelet Decomposition
next chapter Uncertainties in Measurement of Nonlinear Dynamics in Heart Rate Variability
Metadata
Title
Denoising Pulse Wave Signal Based on Wavelet Decomposition
Authors
Aleksandr A. Fedotov
Anna S. Akulova
Sergey A. Akulov
Copyright Year
2015
Book
6th European Conference of the International Federation for Medical and Biological Engineering

Print ISBN: 978-3-319-11127-8

Electronic ISBN: 978-3-319-11128-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-11128-5_25