Reza Boostani
Reza Boostani
Associate Professor at CSE & IT, Biomedical Engineering Group, Shiraz University
Verified email at
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Evaluation of the forearm EMG signal features for the control of a prosthetic hand
R Boostani, MH Moradi
Physiological measurement 24 (2), 309, 2003
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
M Sabeti, S Katebi, R Boostani
Artificial intelligence in medicine 47 (3), 263-274, 2009
A comparative review on sleep stage classification methods in patients and healthy individuals
R Boostani, F Karimzadeh, M Nami
Computer methods and programs in biomedicine 140, 77-91, 2017
Lung nodule segmentation and recognition using SVM classifier and active contour modeling: A complete intelligent system
M Keshani, Z Azimifar, F Tajeripour, R Boostani
Computers in biology and medicine 43 (4), 287-300, 2013
Contourlet-based mammography mass classification using the SVM family
F Moayedi, Z Azimifar, R Boostani, S Katebi
Computers in biology and medicine 40 (4), 373-383, 2010
A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier
R Boostani, MH Moradi
Journal of Neural Engineering 1 (4), 212, 2004
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm
E Parvinnia, M Sabeti, MZ Jahromi, R Boostani
Journal of King Saud University-Computer and Information Sciences 26 (1), 1-6, 2014
A comparison approach toward finding the best feature and classifier in cue-based BCI
R Boostani, B Graimann, MH Moradi, G Pfurtscheller
Medical & biological engineering & computing 45 (4), 403-412, 2007
An efficient classifier to diagnose of schizophrenia based on the EEG signals
R Boostani, K Sadatnezhad, M Sabeti
Expert Systems with Applications 36 (3), 6492-6499, 2009
Selection of relevant features for EEG signal classification of schizophrenic patients
M Sabeti, R Boostani, SD Katebi, GW Price
Biomedical Signal Processing and Control 2 (2), 122-134, 2007
A new approach for EEG signal classification of schizophrenic and control participants
M Sabeti, SD Katebi, R Boostani, GW Price
Expert Systems with Applications 38 (3), 2063-2071, 2011
A multi-classifier approach to MUAP classification for diagnosis of neuromuscular disorders
T Kamali, R Boostani, H Parsaei
IEEE transactions on neural systems and rehabilitation engineering 22 (1 …, 2013
Classification of BMD and ADHD patients using their EEG signals
K Sadatnezhad, R Boostani, A Ghanizadeh
Expert Systems with Applications 38 (3), 1956-1963, 2011
Tramadol induced seizure: A 3-year study
R Boostani, S Derakhshan
Caspian journal of internal medicine 3 (3), 484, 2012
Reliable features for an ECG-based biometric system
N Ghofrani, R Boostani
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of, 1-5, 2010
VT and VF classification using trajectory analysis
RR Sarvestani, R Boostani, M Roopaei
Nonlinear Analysis: Theory, Methods & Applications 71 (12), e55-e61, 2009
Chaotic based reconstructed phase space features for detecting ventricular fibrillation
M Roopaei, R Boostani, RR Sarvestani, MA Taghavi, Z Azimifar
Biomedical Signal Processing and Control 5 (4), 318-327, 2010
An efficient hybrid linear and kernel CSP approach for EEG feature extraction
B Nasihatkon, R Boostani, MZ Jahromi
Neurocomputing 73 (1-3), 432-437, 2009
Contourlet-based mammography mass classification
F Moayedi, Z Azimifar, R Boostani, S Katebi
International Conference Image Analysis and Recognition, 923-934, 2007
Text-independent speaker verification using ant colony optimization-based selected features
S Nemati, R Boostani, M Davarpanah, ME Basiri
Expert Systems with Applications 38 (1), 620-630, 2011
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