References
- Akay , M . 1998 . Time Frequency and Wavelets in Biomedical Signal Processing , New York : Institute of Electrical and Electronics Engineers, Inc .
- Akay , M , Semmlow , JL , Welkowitz , W , Bauer , MD and Kostis , JB . 1990 . Noninvasive Detection of Coronary Stenoses before and after Angioplasty Using Eigenvector Methods . IEEE Transactions on Biomedical Engineering , 37 ( 11 ) : 1095 – 1104 .
- Chen , K . 1998 . A Connectionist Method for Pattern Classification with Diverse Features . Pattern Recognition Letters , 19 ( 7 ) : 545 – 558 .
- Cortes , C and Vapnik , V . 1995 . Support Vector Networks . Machine Learning , 20 ( 3 ) : 273 – 297 .
- Daubechies , I . 1990 . The Wavelet Transform, Time-Frequency Localization and Signal Analysis . IEEE Transactions on Information Theory , 36 ( 5 ) : 961 – 1005 .
- Evans , DH , McDicken , WN , Skidmore , R and Woodcock , JP . 1989 . Doppler Ultrasound: Physics, Instrumentation and Clinical Applications , Wiley : Chichester .
- Güler , İ and Übeyli , ED . 2003 . Application of Classical and Model-based Spectral Methods to Ophthalmic Arterial Doppler Signals with Uveitis Disease . Computers in Biology and Medicine , 33 ( 6 ) : 455 – 471 .
- Güler , İ and Übeyli , ED . 2005 . A Modified Mixture of Experts Network Structure for ECG Beats Classification with Diverse Features . Engineering Applications of Artificial Intelligence , 18 ( 7 ) : 845 – 856 .
- Hagan , MT and Menhaj , MB . 1994 . Training Feedforward Networks with the Marquardt Algorithm . IEEE Transactions on Neural Networks , 5 ( 6 ) : 989 – 993 .
- Jordan , MI and Jacobs , RA . 1994 . Hierarchical Mixture of Experts and the EM Algorithm . Neural Computation , 6 ( 2 ) : 181 – 214 .
- Kay , SM . 1988 . Modern Spectral Estimation: Theory and Application , New Jersey : Prentice Hall .
- Kay , SM and Marple , SL . 1981 . Spectrum Analysis–A Modern Perspective . Proceedings of the IEEE , 69 : 1380 – 1419 .
- Kordylewski , H , Graupe , D and Liu , K . 2001 . A Novel Large-memory Neural Network as an Aid in Medical Diagnosis Applications . IEEE Transactions on Information Technology in Biomedicine , 5 ( 3 ) : 202 – 209 .
- Kwak , N and Choi , C-H . 2002 . Input Feature Selection for Classification Problems . IEEE Transactions on Neural Networks , 13 ( 1 ) : 143 – 159 .
- Miller , AS , Blott , BH and Hames , TK . 1992 . Review of Neural Network Applications in Medical İmaging and Signal Processing . Medical & Biological Engineering & Computing , 30 : 449 – 464 .
- Proakis , JG and Manolakis , DG . 1996 . Digital Signal Processing Principles, Algorithms, and Applications , New Jersey : Prentice Hall .
- Specht , DF . 1990 . Probabilistic Neural Networks . Neural Networks , 3 ( 1 ) : 109 – 118 .
- Stoica , P and Moses , R . 1997 . Introduction to Spectral Analysis , New Jersey : Prentice Hall .
- Übeyli , ED . 2007a . Doppler Ultrasound Signals Analysis Using Multiclass Support Vector Machines with Error Correcting Output Codes . Expert Systems with Applications , 33 ( 3 ) : 725 – 733 .
- Übeyli , ED . 2007b . Combining Eigenvector Methods and Support Vector Machines for Detecting Variability of Doppler Ultrasound Signals . Computer Methods and Programs in Biomedicine , 86 ( 2 ) : 181 – 190 .
- Übeyli , ED . 2008 . Recurrent Neural Networks Employing Lyapunov Exponents for Analysis of Doppler Ultrasound Signals. . Expert Systems with Applications , 34 ( 4 ) : 2538 – 2544 .
- Übeyli , ED and Güler , İ . 2003 . Comparison of Eigenvector Methods with Classical And Model–based Methods in Analysis of İnternal Carotid Arterial Doppler Signals . Computers in Biology and Medicine , 33 ( 6 ) : 473 – 493 .
- Übeyli , ED and Güler , İ . 2004a . Spectral Analysis of İnternal Carotid Arterial Doppler Signals Using FFT, AR, MA, and ARMA Methods . Computers in Biology and Medicine , 34 ( 4 ) : 293 – 306 .
- Übeyli , ED and Güler , İ . 2004b . Spectral Broadening of Ophthalmic Arterial Doppler Signals Using STFT and Wavelet Transform . Computers in Biology and Medicine , 34 ( 4 ) : 345 – 354 .
- Übeyli , ED and Güler , İ . 2005a . Feature Extraction from Doppler Ultrasound Signals for Automated Diagnostic Systems . Computers in Biology and Medicine , 35 ( 9 ) : 735 – 764 .
- Übeyli , ED and Güler , İ . 2005b . Improving Medical Diagnostic Accuracy of Ultrasound Doppler Signals by Combining Neural Network Models . Computers in Biology and Medicine , 35 ( 6 ) : 533 – 554 .
- West , D and West , V . 2000 . Improving Diagnostic Accuracy Using a Hierarchical Neural Network to Model Decision Subtasks . International Journal of Medical Informatics , 57 ( 1 ) : 41 – 55 .
- Wright , IA and Gough , NAJ . 1999 . Artificial Neural Network Analysis of Common Femoral Artery Doppler Shift Signals: Classification of Proximal Disease . Ultrasound in Medicine & Biology , 24 ( 5 ) : 735 – 743 .
- Wright , IA , Gough , NAJ , Rakebrandt , F , Wahab , M and Woodcock , JP . 1997 . Neural Network Analysis of Doppler Ultrasound Blood Flow Signals: A Pilot Study . Ultrasound in Medicine & Biology , 23 ( 5 ) : 683 – 690 .