Time-frequency distribution applied to blood flow velocity profiles

被引:0
作者
Rubio, E [1 ]
Medina, L [1 ]
Rodriguez, AO [1 ]
机构
[1] Univ Nacl Autonoma Mexico, IIMAS, DISCA, Mexico City 01000, DF, Mexico
来源
PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷
关键词
time-frequency distribution; blood flow velocity profile; ultrasonic Doppler flow measurement;
D O I
10.1109/IEMBS.2003.1279627
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The Fourier analysis has become a standard tool to study blood flow in cardiovascular system. However it is not able to perform a time-frequency analysis of signals generated by the blood flow. Non-stationary signals, such as Doppler signals, require the notion of frequency analysis that is local in time. Time-frequency distributions can be applied to perform time-frequency analysis. The aim of this work is to reconstruct the blood flow profiles using Cohen's class time-frequency distribution by estimating the instantaneous frequency of a simulated pulsed Doppler signal. Velocity profiles were theoretically computed from Womersley's equation for a pulsatile stationary-state flow in a circular-cross section tube. Errors in the estimation of the pseudo-instantaneous mean frequency were computed for different sampling windows sizes. The blood flow velocity profiles of a carotid artery calculated with the Wigner-Ville time-frequency distribution show a good agreement with the velocity profiles given by the Womersley's model.
引用
收藏
页码:316 / 319
页数:4
相关论文
共 9 条
[1]   AN EFFICIENT REAL-TIME IMPLEMENTATION OF THE WIGNER VILLE DISTRIBUTION [J].
BOASHASH, B ;
BLACK, PJ .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1987, 35 (11) :1611-1618
[2]   Nonstationarity broadening reduction in pulsed Doppler spectrum measurements using time-frequency estimators [J].
Cardoso, JCS ;
Ruano, MG ;
Fish, PJ .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1996, 43 (12) :1176-1186
[3]   IMPROVED TIME-FREQUENCY REPRESENTATION OF MULTICOMPONENT SIGNALS USING EXPONENTIAL KERNELS [J].
CHOI, HI ;
WILLIAMS, WJ .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1989, 37 (06) :862-871
[4]   TIME FREQUENCY-DISTRIBUTIONS - A REVIEW [J].
COHEN, L .
PROCEEDINGS OF THE IEEE, 1989, 77 (07) :941-981
[5]  
Evans D.H., 2000, Doppler Ultrasound - physics, instrumentation and clinical applications
[6]   EXTRACTING INSTANTANEOUS MEAN FREQUENCY INFORMATION FROM DOPPLER SIGNALS USING THE WIGNER DISTRIBUTION FUNCTION [J].
FAN, LK ;
EVANS, DH .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1994, 20 (05) :429-443
[7]  
Fish P., 1990, Physics and Instrumentation of Diagnostic Medical Utlrasound
[8]   THE TIME-FREQUENCY DISTRIBUTIONS OF NONSTATIONARY SIGNALS BASED ON A BESSEL KERNEL [J].
GUO, ZY ;
DURAND, LG ;
LEE, HC .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (07) :1700-1707
[9]  
Jensen J. A., 1996, Estimation of Blood Velocities using Ultrasound-A Signal Processing Approach