325 citations · 523 across the 6 of their papers we have counts for
7 papers
Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases
Hamed Azami, Steven E. Arnold, Saeid Sanei +4
Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuatio…
Amplitude- and Frequency-based Dispersion Patterns and Entropy
Hamed Azami, Javier Escudero
Permutation patterns-based approaches, such as permutation entropy (PerEn), have been widely and successfully used to analyze data. However, these methods have two main shortcoming…
Multivariate Multiscale Dispersion Entropy of Biomedical Times Series
Hamed Azami, Alberto Fernandez, Javier Escudero
Objective: Due to the non-linearity of numerous biomedical signals, non-linear analysis of multi-channel time series, notably multivariate multiscale entropy (mvMSE), has been exte…
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
Hamed Azami, Mostafa Rostaghi, Daniel Abasolo +1
Multiscale entropy (MSE) is a widely-used tool to analyze biomedical signals. It was proposed to overcome the deficiencies of conventional entropy methods when quantifying the comp…
Comparison of Network Analysis Approaches on EEG Connectivity in Beta during Visual Short-Term Memory Binding Tasks
Keith Smith, Hamed Azami, Mario A. Parra +2
We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term…
Cluster-Span Threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis
Keith Smith, Hamed Azami, Mario A. Parra +2
We propose a new unbiased threshold for network analysis named the Cluster-Span Threshold (CST). This is based on the clustering coefficient, C, following logic that a balance of `…