Hamed Azami
Hamed Azami
University of Toronto, CA
Verified email at - Homepage
Cited by
Cited by
Dispersion entropy: A measure for time-series analysis
M Rostaghi, H Azami
IEEE Signal Processing Letters 23 (5), 610-614, 2016
Refined composite multiscale dispersion entropy and its application to biomedical signals
H Azami, M Rostaghi, D Abásolo, J Escudero
IEEE Transactions on Biomedical Engineering 64 (12), 2872-2879, 2017
An improved signal segmentation using moving average and Savitzky-Golay filter
H Azami, K Mohammadi, B Bozorgtabar
Scientific Research Publishing, 2012
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings
H Azami, J Escudero
Biomedical Signal Processing and Control 23, 28-41, 2016
Amplitude-and fluctuation-based dispersion entropy
H Azami, J Escudero
Entropy 20 (3), 210, 2018
Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis
H Azami, A Fernández, J Escudero
Medical & biological engineering & computing 55, 2037-2052, 2017
Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation
H Azami, J Escudero
Computer methods and programs in biomedicine 128, 40-51, 2016
Application of dispersion entropy to status characterization of rotary machines
M Rostaghi, MR Ashory, H Azami
Journal of Sound and Vibration 438, 291-308, 2019
Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel signals
H Azami, J Escudero
Physica A: Statistical Mechanics and its Applications 465, 261-276, 2017
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
C Babiloni, X Arakaki, H Azami, K Bennys, K Blinowska, L Bonanni, ...
Alzheimer's & Dementia 17 (9), 1528-1553, 2021
Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases
H Azami, SE Arnold, S Sanei, Z Chang, G Sapiro, J Escudero, AS Gupta
IEEE Access 7, 68718-68733, 2019
Multivariate multiscale dispersion entropy of biomedical times series
H Azami, A Fernández, J Escudero
Entropy 21 (9), 913, 2019
Coarse-graining approaches in univariate multiscale sample and dispersion entropy
H Azami, J Escudero
Entropy 20 (2), 138, 2018
Univariate and multivariate generalized multiscale entropy to characterise EEG signals in Alzheimer’s disease
H Azami, D Abásolo, S Simons, J Escudero
Entropy 19 (1), 31, 2017
Classification of GPS satellites using improved back propagation training algorithms
H Azami, MR Mosavi, S Sanei
Wireless personal communications 71, 789-803, 0
Two-dimensional dispersion entropy: An information-theoretic method for irregularity analysis of images
H Azami, LEV da Silva, ACM Omoto, A Humeau-Heurtier
Signal Processing: Image Communication 75, 178-187, 2019
An intelligent approach for variable size segmentation of non-stationary signals
H Azami, H Hassanpour, J Escudero, S Sanei
Journal of advanced research 6 (5), 687-698, 2015
Fuzzy entropy metrics for the analysis of biomedical signals: Assessment and comparison
H Azami, P Li, SE Arnold, J Escudero, A Humeau-Heurtier
IEEE Access 7, 104833-104847, 2019
Spike detection approaches for noisy neuronal data: assessment and comparison
H Azami, S Sanei
Neurocomputing 133, 491-506, 2014
An improved signal segmentation method using genetic algorithm
H Azami, K Mohammadi, H Hassanpour
International Journal of Computer Applications 29 (8), 5-9, 2011
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