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   -> Volume 13, Issue 1

Preprint: "Microembolic Signal Characterization Using Adaptive Chirplet Expansion", by Y. Zhang
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Y. Zhang (webmaster dot mayhu dot com)

PostPosted: Wed Jan 05, 2005 2:19 am    
Subject: Preprint: "Microembolic Signal Characterization Using Adaptive Chirplet Expansion", by Y. Zhang
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Title: Microembolic Signal Characterization Using Adaptive Chirplet Expansion

Journal: IEEE Trans UFFC (to appear)

Abstract: The adaptive chirplet expansion (ACE) is proposed to characterize high intensity transient signals from circulating microemboli. The non-negative adaptive spectrogram based on the ACE gives a compact representation of the microemoblic signal (MES) in joint time frequency domain. The mean instantaneous power (MIP) and mean instantaneous frequency (MIF) of MES are estimated from the adaptive spectrogram. Then, several important characteristics of MES, such as EBR, HWM and ESO, are computed from the MIP, while the frequency modulation is examined in the MIF. To validate the new method, we improve the simulation model of audio Doppler ultrasound signal. Some MESs together with a Doppler ultrasound signal from carotid blood flow are simulated in the simulation study. As a comparison, the adaptive Gabor expansion (AGE) is also implemented on these simulated signals. The experimental results of the simulation study show that the new method based on the ACE outperforms the AGE-based method in MES characterization. The consistent conclusion has been confirmed by the clinical study on some clinical MESs.

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Note: The adaptive chirplet expansion is a refinement of the matching pursuit.
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