Elif Derya Ubeyli

Summary

Affiliation: Faculty of Engineering
Country: Turkey

Publications

  1. ncbi Differentiation of two subtypes of adult hydrocephalus by mixture of experts
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    J Med Syst 34:281-90. 2010
  2. ncbi AR spectral analysis technique for human PPG, ECG and EEG signals
    Elif Derya Ubeyli
    Faculty of Engineering, Department of Electrical and Electronics Engineering, TOBB Economics and Technology University, 06530 Sogutozu, Ankara, Turkey
    J Med Syst 32:201-6. 2008
  3. ncbi Diverse and composite features for ECG signals processing
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Biomed Mater Eng 18:61-72. 2008
  4. ncbi Usage of eigenvector methods to improve reliable classifier for Doppler ultrasound signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:563-73. 2008
  5. ncbi Statistics over features for internal carotid arterial disorders detection
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Sogutozu, Ankara, Turkey
    Comput Biol Med 38:361-71. 2008
  6. ncbi Eigenvector methods for analysis of human PPG, ECG and EEG signals
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2007:3304-7. 2007
  7. ncbi Modified mixture of experts for analysis of EEG signals
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2007:1546-9. 2007
  8. ncbi Fuzzy similarity index for discrimination of EEG signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 1:5346-9. 2006
  9. ncbi Adaptive neuro-fuzzy inference system for analysis of Doppler signals
    Elif Derya Ubeyli
    Dept of Electr and Electron Eng, TOBB Ekonomi ve Teknoloji Univ, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 1:2167-70. 2006
  10. ncbi Probabilistic neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:82-9. 2008

Collaborators

Detail Information

Publications48

  1. ncbi Differentiation of two subtypes of adult hydrocephalus by mixture of experts
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    J Med Syst 34:281-90. 2010
    ..Three types of records (normal, NPH and AS) were classified with the accuracy of 95.83% by the ME network structure. The ME network structure achieved accuracy rates which were higher than that of the stand-alone neural network models...
  2. ncbi AR spectral analysis technique for human PPG, ECG and EEG signals
    Elif Derya Ubeyli
    Faculty of Engineering, Department of Electrical and Electronics Engineering, TOBB Economics and Technology University, 06530 Sogutozu, Ankara, Turkey
    J Med Syst 32:201-6. 2008
    ..Some conclusions were drawn concerning the efficiency of the FFT and least squares AR methods as feature extraction methods used for representing the signals under study...
  3. ncbi Diverse and composite features for ECG signals processing
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Biomed Mater Eng 18:61-72. 2008
    ..The conclusions of this study demonstrated that the MME trained on diverse features achieved accuracy rates which were higher than that of the other automated diagnostic systems trained on composite features...
  4. ncbi Usage of eigenvector methods to improve reliable classifier for Doppler ultrasound signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:563-73. 2008
    ....
  5. ncbi Statistics over features for internal carotid arterial disorders detection
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Sogutozu, Ankara, Turkey
    Comput Biol Med 38:361-71. 2008
    ..The classification results confirmed that the proposed ME and MME has potential in detecting the arterial disorders...
  6. ncbi Eigenvector methods for analysis of human PPG, ECG and EEG signals
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2007:3304-7. 2007
    ..Some conclusions were drawn concerning the efficiency of the eigenvector methods as a feature extraction method used for representing the signals under study...
  7. ncbi Modified mixture of experts for analysis of EEG signals
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2007:1546-9. 2007
    ..The present study demonstrated that the MME trained on diverse features achieved high accuracy rates...
  8. ncbi Fuzzy similarity index for discrimination of EEG signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 1:5346-9. 2006
    ..Thus, the fuzzy similarity index could discriminate the healthy EEG segments (sets A and B) and the other three types of segments (sets C, D, and E) recorded from epileptic patients...
  9. ncbi Adaptive neuro-fuzzy inference system for analysis of Doppler signals
    Elif Derya Ubeyli
    Dept of Electr and Electron Eng, TOBB Ekonomi ve Teknoloji Univ, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 1:2167-70. 2006
    ..59%) and the results confirmed that the proposed ANFIS classifier has potential in detecting the ophthalmic artery stenosis...
  10. ncbi Probabilistic neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:82-9. 2008
    ..The present research demonstrated that the Lyapunov exponents are the features which well represent the Doppler ultrasound signals and the PNNs trained on these features achieved high classification accuracies...
  11. ncbi Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Neural Netw 21:1410-7. 2008
    ....
  12. ncbi Measuring saliency of features using signal-to-noise ratios for detection of electrocardiographic changes in partial epileptic patients
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Sogutozu, 06530 Ankara, Turkey
    J Med Syst 32:463-70. 2008
    ..The application results of the SNR screening method to the ECG signals demonstrated that classification accuracies of the PNNs with salient input features are higher than that of the PNNs with salient and non-salient input features...
  13. ncbi Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Methods Programs Biomed 93:313-21. 2009
    ..The performance of the ANFIS model was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS model has potential in classifying the ECG signals...
  14. ncbi Automatic detection of erythemato-squamous diseases using k-means clustering
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    J Med Syst 34:179-84. 2010
    ..The present research demonstrated that the features well represent the erythemato-squamous diseases and the k-means clustering algorithm's task achieved high classification accuracies for only five erythemato-squamous diseases...
  15. ncbi Analysis of doppler ultrasound signals: ophthalmic arterial disorders detection case
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2009:43-6. 2009
    ..The paper will assist to the people in gaining a better understanding of the techniques in the detection of arterial disorders...
  16. ncbi Adaptive neuro-fuzzy inference systems for automatic detection of breast cancer
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    J Med Syst 33:353-8. 2009
    ..The performance of the ANFIS model was evaluated in terms of training performances and classification accuracies and the results confirmed that the proposed ANFIS model has potential in detecting the breast cancer...
  17. ncbi Modified mixture of experts for diabetes diagnosis
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    J Med Syst 33:299-305. 2009
    ..The present research demonstrated that the modified mixture of experts (MME) achieved diagnostic accuracies which were higher than that of the other automated diagnostic systems...
  18. ncbi Statistics over features: EEG signals analysis
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 39:733-41. 2009
    ..The classification results confirmed that the proposed MLPNN has potential in detecting the electroencephalographic changes...
  19. ncbi Eigenvector methods for automated detection of electrocardiographic changes in partial epileptic patients
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara 06530, Turkey
    IEEE Trans Inf Technol Biomed 13:478-85. 2009
    ..The present research demonstrated that the MME trained on the diverse features achieved accuracy rates (total classification accuracy is 99.44%) that were higher than that of the other automated diagnostic systems...
  20. ncbi Analysis of spike-wave discharges in rats using discrete wavelet transform
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 39:294-300. 2009
    ..The present study demonstrates that the wavelet coefficients are useful in determining the dynamics in the time-frequency domain of SWD records...
  21. ncbi Discrete wavelet transform for analysis of spike-wave discharges in rats
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2008:4680-3. 2008
    ..The present study demonstrates that the wavelet coefficients are useful in determining the dynamics in the time-frequency domain of SWD records...
  22. ncbi Feature extraction for analysis of ECG signals
    Elif Derya Ubeyli
    TOBB Economics and Technology University, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey
    Conf Proc IEEE Eng Med Biol Soc 2008:1080-3. 2008
    ..The conclusions of this study demonstrated that the MME trained on diverse features achieved accuracy rates which were higher than that of the ME trained on composite features...
  23. ncbi Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:14-22. 2008
    ..The present research demonstrated that the eigenvector methods are the features which well represent the EEG signals and the multiclass SVM trained on these features achieved high classification accuracies...
  24. ncbi Detection of arterial disorders by spectral analysis techniques
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    Biomed Mater Eng 17:183-9. 2007
    ..The author suggest that the content of the paper will assist to the people in gaining a better understanding of the STFT and WT in the detection of arterial disorders...
  25. ncbi Medical informatics: a model developed for diabetes education via telemedicine
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara 06530 Söğütözü, Turkey
    J Med Syst 33:113-9. 2009
    ..A model for risk evaluation, data collection and education of undiagnosed diabetes using the world wide web (www) was presented...
  26. ncbi Combining eigenvector methods and support vector machines for detecting variability of Doppler ultrasound signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Methods Programs Biomed 86:181-90. 2007
    ..The research demonstrated that the multiclass SVMs trained on extracted features achieved high accuracy rates...
  27. ncbi Combining neural network models for automated diagnostic systems
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    J Med Syst 30:483-8. 2006
    ..The CNN models achieved accuracy rates which were higher than that of the stand-alone neural network models...
  28. ncbi Recurrent neural networks with composite features for detection of electrocardiographic changes in partial epileptic patients
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Biol Med 38:401-10. 2008
    ..The research demonstrated that the wavelet coefficients and the Lyapunov exponents are the features which well represent the ECG signals and the RNN trained on these features achieved high classification accuracies...
  29. ncbi A mixture of experts network structure for breast cancer diagnosis
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Sogutozu, Ankara, Ankara, Turkey
    J Med Syst 29:569-79. 2005
    ..85%. The ME network structure achieved accuracy rates which were higher than that of the stand-alone neural network models...
  30. ncbi Improving medical diagnostic accuracy of ultrasound Doppler signals by combining neural network models
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 35:533-54. 2005
    ..The combined neural network models achieved accuracy rates which were higher than that of the stand-alone neural network models...
  31. ncbi Determining variability of ophthalmic arterial Doppler signals using Lyapunov exponents
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi Univeresity, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 35:405-420. 2005
    ..75% to 97.06%. The results confirmed that the proposed MLPNN trained with Levenberg-Marquardt algorithm has potential in detecting stenosis, Behcet disease and uveitis disease in ophthalmic arteries...
  32. ncbi Automated diagnostic systems with diverse and composite features for Doppler ultrasound signals
    Inan Güler
    Gazi University, Faculty of Technical Education, Department of Electronics and Computer Education, 06500 Teknikokullar, Ankara, Turkey
    IEEE Trans Biomed Eng 53:1934-42. 2006
    ..Our research demonstrated that the SVM trained on composite feature and the MME trained on diverse features achieved accuracy rates which were higher than that of the other automated diagnostic systems...
  33. ncbi Determination of stenosis and occlusion in arteries with the application of FFT, AR, and ARMA methods
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    J Med Syst 27:105-20. 2003
    ..Reliable information on hemodynamic alterations in arteries can be obtained by evaluation of these sonograms...
  34. ncbi Application of classical and model-based spectral methods to ophthalmic arterial Doppler signals with uveitis disease
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 33:455-71. 2003
    ..These Doppler spectra and sonograms were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of uveitis disease...
  35. ncbi Spectral analysis of internal carotid arterial Doppler signals using FFT, AR, MA, and ARMA methods
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 34:293-306. 2004
    ....
  36. ncbi Spectral broadening of ophthalmic arterial Doppler signals using STFT and wavelet transform
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 34:345-54. 2004
    ....
  37. ncbi Automatic detection of erthemato-squamous diseases using adaptive neuro- fuzzy inference systems
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey
    Comput Biol Med 35:421-433. 2005
    ..The ANFIS model achieved accuracy rates which were higher than that of the stand-alone neural network model...
  38. ncbi Multiclass support vector machines for EEG-signals classification
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    IEEE Trans Inf Technol Biomed 11:117-26. 2007
    ..Our research demonstrated that the wavelet coefficients and the Lyapunov exponents are the features which well represent the EEG signals and the multiclass SVM and PNN trained on these features achieved high classification accuracies...
  39. ncbi Determination of Behcet disease with the application of FFT and AR methods
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 32:419-34. 2002
    ..These sonograms were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of Behcet disease...
  40. ncbi Feature extraction from Doppler ultrasound signals for automated diagnostic systems
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, , Ankara, Turkey
    Comput Biol Med 35:735-64. 2005
    ..Finally, some conclusions were drawn concerning the efficiency of discrete wavelet transform as a feature extraction method used for the diagnosis of ophthalmic and internal carotid arterial diseases...
  41. ncbi Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    J Neurosci Methods 148:113-21. 2005
    ..The performance of the ANFIS model was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS model has potential in classifying the EEG signals...
  42. ncbi Wavelet-based neural network analysis of ophthalmic artery Doppler signals
    Nihal Fatma Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey
    Comput Biol Med 34:601-13. 2004
    ..22% for healthy subjects, and 96.77% for subjects having ophthalmic artery stenosis. The classification results showed that the MLPNN trained with the Levenberg-Marquardt algorithm was effective to detect ophthalmic artery stenosis...
  43. ncbi Theory and applications of telemedicine
    Nihal Fatma Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey
    J Med Syst 26:199-220. 2002
    ..An investigation of telemedicine applications in various fields is presented, and enormous impact of telemedicine systems on the future of medicine is determined...
  44. ncbi Wavelet-based neural network analysis of internal carotid arterial Doppler signals
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, , Ankara, Turkey
    J Med Syst 30:221-9. 2006
    ..30% for subjects having internal carotid artery occlusion. The classification results showed that the MLPNN trained with the Levenberg-Marquardt algorithm was effective to detect internal carotid artery stenosis and occlusion...
  45. ncbi Theory and applications of biotelemetry
    Nihal Fatma Güler
    Department of Electronic and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey
    J Med Syst 26:159-78. 2002
    ..The power sources of biotelemetry systems and features of different power sources are explained. A survey of biotelemetry applications on humans and animals is presented and advantages of using biotelemetry systems are determined...
  46. ncbi Comparison of eigenvector methods with classical and model-based methods in analysis of internal carotid arterial Doppler signals
    Elif Derya Ubeyli
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Teknikokullar, 06500 Ankara, Turkey
    Comput Biol Med 33:473-93. 2003
    ..These power spectra were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of stenosis and occlusion in internal carotid arteries...
  47. ncbi Detecting variability of internal carotid arterial Doppler signals by Lyapunov exponents
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Teknikokullar, 06500 Ankara, Turkey
    Med Eng Phys 26:763-71. 2004
    ..87% to 97.44%. The results confirmed that the proposed MLPNN trained with Levenberg-Marquardt algorithm has potential in detecting stenosis and occlusion in internal carotid arteries...
  48. ncbi Detection of ophthalmic arterial doppler signals with Behcet disease using multilayer perceptron neural network
    Inan Güler
    Department of Electronics and Computer Education, Faculty of Technical Education, Teknik Egitim Fakultesi, Gazi University, Teknikokullar, Ankara 06500, Turkey
    Comput Biol Med 35:121-32. 2005
    ..The classification results showed that the MLPNN employing delta-bar-delta training algorithm was effective to detect the ophthalmic arterial Doppler signals with Behcet disease...