Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique

Computers in Biology and Medicine

Volumn 31, Issue 4, 2001, Pages 229-238

  Güler, Inan ^a   Hardalaç, Firat ^a   Müldür, Serdar ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

Aorta valve; Doppler signal; Signal analysis; Sonogram

Indexed keywords

CARDIOVASCULAR SYSTEM; DOPPLER EFFECT; FAST FOURIER TRANSFORMS; MEDICAL IMAGING; REGRESSION ANALYSIS; ULTRASONIC IMAGING; WAVELET TRANSFORMS;

AORTA FAILURE; SONOGRAMS;

COMPUTER AIDED DIAGNOSIS;

ADULT; ANALYTIC METHOD; AORTA VALVE DISEASE; ARTICLE; CLINICAL ARTICLE; COMPUTER ANALYSIS; CONTROLLED STUDY; DOPPLER ECHOGRAPHY; FOURIER TRANSFORMATION; HUMAN; INTERMETHOD COMPARISON; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIGNAL PROCESSING; SPECTROSCOPY; WAVEFORM;

AORTIC VALVE INSUFFICIENCY; ECHOCARDIOGRAPHY, DOPPLER; FOURIER ANALYSIS; HUMANS; MICROCOMPUTERS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0035035610     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(01)00005-1     Document Type: Article

References (10)

1. Application of AR and FFT spectral analysis to tricuspid and Mitral valve stenosis
2. A real time auto-regressive spectrum analyzer for Doppler ultrasound signals
3. Autoregressive-based sonogram output of 20 Mhz pulsed Doppler data
4. Comparison of FFT and AR-based sonogram outputs of 20 MHz pulsed Doppler data in real time
5. Spectrum analysis - A modern perspective
6. Order selection in Doppler blood flow signal spectral analysis using autoregressive modelling
7. Modern spectral analysis techniques for blood flow velocity and spectral measurements with pulsed Doppler ultrasound
8. The use of the Wavelet transform to describe embolic signals