A Method for Extracting Characteristic Frequency Components of Blood Flow Signals Based on Wavelet Transform

Ruo Fei Cui; Si Te Luo; Li Qian Lu; Wei Wei Zhou; Zeng Yong Li

doi:10.4028/www.scientific.net/AMM.313-314.1221

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314A Method for Extracting Characteristic Frequency...

A Method for Extracting Characteristic Frequency Components of Blood Flow Signals Based on Wavelet Transform

Abstract:

The objective of this paper is to propose a method for exacting the characteristic frequency components of blood flow signals based on wavelet transform. The wavelet transform technique, a time-frequency method with logarithmic frequency resolution, was used to analyze oscillations in human peripheral blood flow measured by laser Doppler flowmetry (LDF). In the frequency interval from 0.008 to 2.0 Hz, the LDF signal consists of components with five different characteristic frequenciesmetabolic (0.008-0.02Hz), neurogenic (0.02-0.06Hz), myogenic (0.06-0.15Hz), respiratory (0.15-0.4Hz) and cardiac (0.4-2.0Hz). The five frequency components were extracted in time domain and reconstructed using cubic spline interpolation in this study. The results showed that it was an effective way to extract each component of blood flow signals.

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

1221-1224

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.1221

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Online since:

March 2013

Authors:

Ruo Fei Cui, Si Te Luo, Li Qian Lu, Wei Wei Zhou, Zeng Yong Li

Keywords:

Blood Flow Signals, Cardiac Frequency, Extract, Laser-Doppler Flowmetry, Wavelet Transform (WT)

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