Title | ||
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Extraction of mean frequency information from Doppler blood flow signals using a matching pursuit algorithm |
Abstract | ||
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The intensity-weighted mean frequency (IWMF) waveform of Doppler blood flow signals associates with the instantaneous mean blood velocities and has been found to be very useful to measure volumetric flow and detect arterial stenosis. These applications involving Doppler signals require the accurate estimation of the IWMF over short durations of the signal due to its nonstationarity. The traditional short-time Fourier transform (STFT) method requires stationarity of the signal during a finite window, making it inaccurate to analyze signals having relatively wide bandwidths that change rapidly with time. In order to accurately estimate the Doppler IWMF waveform, even when the temporal flow velocity is rapid (high nonstationarity), we extract the Doppler IWMF waveform from the time-frequency distribution estimated using the matching pursuit (MP) with stochastic time-frequency dictionaries in the present study. Because of its local adaptivity to transient structures, the MP algorithm provides a remarkably compact time-frequency description and high time-frequency resolution of a signal. A comparative evaluation has been made between the classic (STFT-based) and the MP-based algorithms. Experimental results indicate that the Doppler IWMF waveform estimated using the MP with stochastic dictionaries is more accurate than that based on the STFT. |
Year | DOI | Venue |
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2008 | 10.1016/j.sigpro.2008.05.019 | Signal Processing |
Keywords | Field | DocType |
doppler blood flow signal,doppler iwmf waveform,high time-frequency resolution,stochastic time-frequency dictionary,compact time-frequency description,doppler signal,mean frequency information,matching pursuit algorithm,volumetric flow,mp algorithm,time-frequency distribution,temporal flow velocity,short time fourier transform,matching pursuit,time frequency,blood flow,flow velocity | Matching pursuit,Signal processing,Control theory,Waveform,Short-time Fourier transform,Algorithm,Fourier transform,Speech recognition,Time–frequency analysis,Flow velocity,Doppler effect,Mathematics | Journal |
Volume | Issue | ISSN |
88 | 11 | Signal Processing |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
xinling shi | 1 | 74 | 15.34 |
Baodan Bai | 2 | 0 | 0.34 |
Yufeng Zhang | 3 | 117 | 30.05 |
Huahong Ma | 4 | 0 | 0.34 |
Jianhua Chen | 5 | 32 | 9.00 |