Seyed Kamaledin Setarehdan
Seyed Kamaledin Setarehdan
Professor of School of Electrical and Computer Engineering, College of Engineering, University of
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Cited by
Cited by
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal
BM Asl, SK Setarehdan, M Mohebbi
Artificial intelligence in medicine 44 (1), 51-64, 2008
Advanced algorithmic approaches to medical image segmentation: state-of-the-art applications in cardiology, neurology, mammography and pathology
SK Setarehdan, S Singh
Springer Science & Business Media, 2012
Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky–Golay filtering
S Jahani, SK Setarehdan, DA Boas, MA Yücel
Neurophotonics 5 (1), 015003, 2018
New features for automatic classification of human chromosomes: A feasibility study
M Moradi, SK Setarehdan
Pattern recognition letters 27 (1), 19-28, 2006
Automatic segmentation of calcified plaques and vessel borders in IVUS images
A Taki, Z Najafi, A Roodaki, SK Setarehdan, RA Zoroofi, A Konig, ...
International Journal of Computer Assisted Radiology and Surgery 3, 347-354, 2008
A review on EEG signals based emotion recognition
M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ...
International Clinical Neuroscience Journal 4 (4), 118-129, 2017
Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals
F Ebrahimi, SK Setarehdan, J Ayala-Moyeda, H Nazeran
Computer methods and programs in biomedicine 112 (1), 47-57, 2013
Automatic cardiac LV boundary detection and tracking using hybrid fuzzy temporal and fuzzy multiscale edge detection
SK Setarehdan, JJ Soraghan
IEEE Transactions on Biomedical Engineering 46 (11), 1364-1378, 1999
Wavelet-based EEG denoising for automatic sleep stage classification
E Estrada, H Nazeran, G Sierra, F Ebrahimi, SK Setarehdan
CONIELECOMP 2011, 21st International Conference on Electrical Communications …, 2011
Different classification techniques considering brain computer interface applications
S Rezaei, K Tavakolian, AM Nasrabadi, SK Setarehdan
Journal of Neural Engineering 3 (2), 139, 2006
Emotion classification through nonlinear EEG analysis using machine learning methods
M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ...
International Clinical Neuroscience Journal 5 (4), 135-149, 2018
An ultrasound based technique for the determination of poultry egg quality
M Aboonajmi, A Akram, T Nishizu, N Kondo, SK Setarehdan, ...
Research in Agricultural Engineering 56 (1), 26-32, 2010
Fisher linear discriminant based person identification using visual evoked potentials
A Yazdani, A Roodaki, SH Rezatofighi, K Misaghian, SK Setarehdan
2008 9th International Conference on Signal Processing, 1677-1680, 2008
Automatic locating the centromere on human chromosome pictures
M Moradi, SK Setarehdan, SR Ghaffari
16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings., 56-61, 2003
Emotion recognition using EEG phase space dynamics and Poincare intersections
MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi
Biomedical Signal Processing and Control 59, 101918, 2020
Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient
M Karimi Moridani, SK Setarehdan, A Motie Nasrabadi, E Hajinasrollah
Journal of medical engineering & technology 40 (3), 87-98, 2016
A new approach for improving coronary plaque component analysis based on intravascular ultrasound images
A Taki, H Hetterich, A Roodaki, SK Setarehdan, G Unal, J Rieber, ...
Ultrasound in medicine & biology 36 (8), 1245-1258, 2010
Emotion recognition through EEG phase space dynamics and Dempster-Shafer theory
MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi
Medical Hypotheses 127, 34-45, 2019
Neural network based arrhythmia classification using heart rate variability signal
B Mohammadzadeh-Asl, SK Setarehdan
2006 14th European Signal Processing Conference, 1-4, 2006
Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs
F Ebrahimi, SK Setarehdan, H Nazeran
Biomedical Signal Processing and Control 18, 69-79, 2015
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