A Method for Extracting Characteristic Frequency Components of Blood Flow Signals Based on Wavelet Transform
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 frequencies—metabolic (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.
Wavelet transform Laser-Doppler flowmetry Blood Flow Signals Cardiac frequency Extract
Ruofei Cui Site Luo Liqian Lu Weiwei Zhou Zengyong Li
School of Mechanical Engineering,Shandong University,Jinan,250061 P.R.China
国际会议
济南
英文
1221-1224
2012-12-29（万方平台首次上网日期，不代表论文的发表时间）