Determination of carotid disease with the application of STFT and CWT methods

Computers in Biology and Medicine

Volumn 37, Issue 6, 2007, Pages 785-792

  Hardalaç, Firat ^a   Yildirim, Hanefi ^a   Serhatlioǧlu, Selami ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Carotid artery; Carotid disease; Doppler signal; Receiver operating characteristic (ROC) curve; Short time Fourier transform (STFT); Signal analysis; Sonogram; The continuous wavelet transform (CWT)

Indexed keywords

CARDIOLOGY; FOURIER TRANSFORMS; PERSONAL COMPUTERS; SIGNAL ANALYSIS; SPECTRAL RESOLUTION; ULTRASONOGRAPHY;

CAROTID ARTERIES; CAROTID DISEASES; CONTINUOUS WAVELET TRANSFORM (CWT); DOPPLER SIGNALS; RECEIVER OPERATING CHARACTERISTIC (ROC) CURVES; SHORT TIME FOURIER TRANSFORM (STFT);

DISEASES;

ARTICLE; BLOOD FLOWMETRY; CAROTID ARTERY DISEASE; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTINUOUS WAVELET TRANSFORM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; DIAGNOSTIC VALUE; DOPPLER ECHOGRAPHY; FOURIER ANALYSIS; FOURIER TRANSFORMATION; HUMAN; IMAGE QUALITY; INTRACRANIAL PRESSURE; MICROCOMPUTER; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION;

CAROTID ARTERY DISEASES; CASE-CONTROL STUDIES; COMPUTING METHODOLOGIES; FOURIER ANALYSIS; HUMANS; MIDDLE AGED; ULTRASONOGRAPHY, DOPPLER;

EID: 34047184232     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2006.07.003     Document Type: Article

References (13)

1. Güler I., Kara S., Güler N.F., and Ki{dotless}ymi{dotless}k M.K. Application of AR and FFT spectral analysis to tricuspid and mitral valve stenosis. Comput. Methods Programs Biomed. 49 (1996) 36
2. Evans D.H., McDicken W.N., Skidmore R., and Woodcock J.P. Doppler Ultrasound: Physics, Instrumentation and Clinical Application (1989), Wiley, Chichester
3. Güler I., Hardalaç F., and Müldür S. Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique. Comput. Biol. Med. 31 (2001) 229-238
4. David J.Y., Jones S.A., and Giddens D.P. Modern spectral analysis techniques for blood flow velocity and spectral measurements with pulsed Doppler ultrasound. IEEE Trans. Biomed. Eng. 38 (1991) 589-596
5. Cannon S.R., Richards K.L., and Rollwitz W.T. Digital Fourier techniques in the diagnosis and quantification of aortic stenosis with pulse-Doppler echocardiography. J. Clin. Ultrasound 10 (1982) 101-107
6. Kalman P.G., Johnston K.W., Zuech P., Kassam M., and Poots K. In vitro comparison of alternative methods for quantifying the severity of Doppler spectral broadening for the diagnosis of carotid arterial occlusive disease. Ultrasound Med. Biol. 11 (1985) 435-440
7. Guo Z., Durand L.g., and Lee H.C. Comparison of time-frequency distribution techniques for analysis of simulated Doppler ultrasound signals of the femoral artery. IEEE Trans. Biomed. Eng. 41 (1994) 332-342
8. Zhang Z., Guo Z., Wang W., He S., Lee T., and Loew M. A comparison of the wavelet and short-time Fourier transforms for Doppler spectral analysis. Med. Eng. Phys. 25 (2003) 547-557
9. Keton P.I.J., and Schlindwein F.S. Application of wavelets in Doppler ultrasound. Sens. Rev. 17 (1997) 38-45
10. Guo Z., Durand L.G., Allard L., Cloutier G., Lee H.C., and Langlois Y.E. Cardiac Doppler blood flow signal analysis. Part II. The time frequency distribution by using autoregressive modeling. Med. Biol. Eng. Comput. 31 (1993) 242-248
11. Evans D.H., McDicken W.N., Skidmore R., and Woodcock J.P. Doppler Ultrasound: Physics, Instrumentation and Clinical Application (1989), Wiley, Chichester
12. Aydn N., Padayachee S., and Markus H.S. The use of the wavelet transform to describe embolic signals. Ultrasound Med. Biol. 25 (1999) 953-958
13. Hanley J.A., and McNeil B.J. The meaning and use of the area under the receiver operating characteristic (ROC) curve. Radiology 143 (1982) 29-36