Hemodynamic-Pharmacological Effect on Cerebral Circulation Evaluated by Means of Computerized CW Doppler Signal Spectrum Analysis � First Experiments on the Action of Suloctidil

2015 ◽  
pp. 243-250
Author(s):  
A. De Fabritiis ◽  
A. Guastarobba ◽  
G. Scondotto ◽  
E. Borgatti
Keyword(s):  
Spectrum Analysis ◽  
Cerebral Circulation ◽  
Pharmacological Effect ◽  
Doppler Signal ◽  
Signal Spectrum

scholarly journals Low frequency signal spectrum analysis for strong earthquakes

2012 ◽  
Vol 55 (1) ◽  
Author(s):  
Alexander Rozhnoi ◽  
Maria Solovieva ◽  
Pier Francesco Biagi ◽  
Konrad Schwingenschuh ◽  
Masashi Hayakawa
Keyword(s):  
Spectrum Analysis ◽  
Low Frequency ◽  
Signal Spectrum ◽  
Frequency Signal ◽  
Strong Earthquakes

Doppler Signal Denoising Based on Feature Adaptive Wavelet Shrinkage Method

2012 ◽  
Vol 532-533 ◽  
pp. 702-707
Author(s):  
Zhao Yin ◽  
Jing Jin ◽  
Yan Wang ◽  
Yi Shen
Keyword(s):  
Circulatory System ◽  
Doppler Signal ◽  
Signal Spectrum ◽  
Wavelet Shrinkage ◽  
Threshold Method ◽  
Denoising Method ◽  
Adaptive Wavelet ◽  
Doppler Signals ◽  
Envelope Extraction ◽  
Flow Detection

The envelope extraction of Doppler signal spectrum is very important in ultrasonic blood flow detection, due to the fact that it can provide the diagnosis information of blood circulatory system. Doppler signals are often polluted by noises, which will affect the performance of the envelope extraction. Therefore, it is necessary to remove the noises before extracting the spectrum envelope. In this paper, a Doppler denoising method based on the Feature Adaptive Wavelet Shrinkage is proposed. The advantage of this method is that the threshold of each coefficient is set by using the coefficient at the current location and its two neighbor coefficients. Simulation results demonstrate that the proposed method can remove the noises of Doppler signals more effectively compared to the traditional wavelet threshold method.

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