mohammad pooyan
mohammad pooyan
associate professor of biomedical engineering, shahed university
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Cited by
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A novel approach to predict sudden cardiac death (SCD) using nonlinear and time-frequency analyses from HRV signals
E Ebrahimzadeh, M Pooyan, A Bijar
PloS one 9 (2), e81896, 2014
Adaptive digital audio steganography based on integer wavelet transform
A Delforouzi, M Pooyan
Circuits, Systems & Signal Processing 27 (2), 247-259, 2008
An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine
MK Arjmandi, M Pooyan
Biomedical signal processing and control 7 (1), 3-19, 2012
Identification of voice disorders using long-time features and support vector machine with different feature reduction methods
MK Arjmandi, M Pooyan, M Mikaili, M Vali, A Moqarehzadeh
Journal of Voice 25 (6), e275-e289, 2011
Early detection of sudden cardiac death by using classical linear techniques and time-frequency methods on electrocardiogram signals
E Ebrahimzadeh, M Pooyan
Journal of Biomedical Science and Engineering 4 (11), 699, 2011
LSB-based audio steganography method based on lifting wavelet transform
M Pooyan, A Delforouzi
2007 IEEE International Symposium on Signal Processing and information …, 2007
Wavelet compression of ECG signals using SPIHT algorithm
M Pooyan, A Taheri, M Moazami-Goudarzi, I Saboori
International Journal of signal processing 1 (3), 4, 2004
Genetic algorithm‐optimised structure of convolutional neural network for face recognition applications
A Rikhtegar, M Pooyan, MT Manzuri‐Shalmani
IET Computer Vision 10 (6), 559-566, 2016
How can selection of biologically inspired features improve the performance of a robust object recognition model?
M Ghodrati, SM Khaligh-Razavi, R Ebrahimpour, K Rajaei, M Pooyan
PloS one 7 (2), e32357, 2012
ECG signals noise removal: Selection and optimization of the best adaptive filtering algorithm based on various algorithms comparison
E Ebrahimzadeh, M Pooyan, S Jahani, A Bijar, SK Setaredan
Biomedical Engineering: Applications, Basis and Communications 27 (04), 1550038, 2015
Detection of vocal disorders based on phase space parameters and Lyapunov spectrum
H Ghasemzadeh, MT Khass, MK Arjmandi, M Pooyan
biomedical signal processing and control 22, 135-145, 2015
Introduction and application of an automatic gait recognition method to diagnose movement disorders that arose of similar causes
M Banaie, M Pooyan, M Mikaili
Expert Systems with Applications 38 (6), 7359-7363, 2011
Adaptive and robust audio watermarking in wavelet domain
M Pooyan, A Delforouzi
Third International Conference on Intelligent Information Hiding and …, 2007
Efficient method for ECG compression using two dimensional multiwavelet transform
M Moazami-Goudarzi, A Taheri, M Pooyan
Int. J. Inf. Technol 2, 257-263, 2005
Modeling the gait of normal and Parkinsonian persons for improving the diagnosis
Y Sarbaz, M Banaie, M Pooyan, S Gharibzadeh, F Towhidkhah, A Jafari
Neuroscience letters 509 (2), 72-75, 2012
Uterine segmentation and volume measurement in uterine fibroid patients’ MRI using fuzzy C-mean algorithm and morphological operations
A Fallahi, M Pooyan, H Ghanaati, MA Oghabian, H Khotanlou, M Shakiba, ...
Iranian Journal of Radiology 8 (3), 150, 2011
Improving the performance of the SSVEP-based BCI system using optimized singular spectrum analysis (OSSA)
SMM Safi, M Pooyan, AM Nasrabadi
Biomedical Signal Processing and Control 46, 46-58, 2018
Classification of brain signals in normal subjects and patients with epilepsy using mixture of experts
S Amoozegar, M Pooyan, E Ebrahimzadeh
Computational Intelligence in Electrical Engineering 4 (1), 1-8, 2013
A new SPICE macro-model for simulation of single electron circuits
M Karimian, M Dousti, M Pouyan, R Faez
2009 International Conference on Microelectronics-ICM, 228-231, 2009
Prediction of sudden cardiac death (SCD) using time-frequency analysis of ECG signals
E Ebrahimzadeh, M Pooyan
Computational Intelligence in Electrical Engineering 3 (4), 15-26, 2013
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