title: Correction for broadening in Doppler blood flow spectrum estimated using wavelet transform.
abstract: The conventionally used spectral estimation technique for Doppler blood flow signal analysis is short-time Fourier transform (STFT). But this method requires stationarity of the signal during the window interval. Wavelet transform (WT), which has a flexible time-frequency window, is particularly suitable for nonstationary signals. In recently years, the WT has been used to investigate its advantages and limitations for the analysis of Doppler blood flow signals. In these studies, the estimated spectral width of Doppler blood flow signals using the WT might include significant window and nonstationarity broadening errors. These broadening errors of the time-varying spectrum were clearly undesirable since it would tend to mask the effect of flow disturbance on the spectra width. In this paper, a closed form expression for window and nonstationary root-mean-squared (rms) spectral width is given when using the WT to estimate the Doppler blood flow spectrum. The increases in the rms spectral width can be calculated and then the spectral width estimation based on the WT can be corrected.
authors.affiliation: Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan 650091, PR China. yfengzhang@yahoo.com
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Zhang
authors.forename: Lei
authors.initials: L
authors.lastname: Xu
authors.forename: Jianhua
authors.initials: J
authors.lastname: Chen
authors.forename: Huahong
authors.initials: H
authors.lastname: Ma
authors.forename: Xinling
authors.initials: X
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena / Q000379:methods; D001698:Biomedical Engineering / Q000379:methods*; D001783:Blood Flow Velocity; D003198:Computer Simulation; D003935:Diagnostic Techniques, Cardiovascular; D005583:Fourier Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D015233:Models, Statistical; D009206:Myocardium / Q000473:pathology; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D018617:Ultrasonography, Doppler, Pulsed / Q000379:methods*