Abstract: Fuzzy entropy (FuzEn) was introduced to alleviate limitations associated with sample entropy (SampEn) in the analysis of physiological signals. Over the past decade, FuzEn-based methods have ...

Abstract: Objective: We propose a novel complexity measure to overcome the deficiencies of the widespread and powerful multiscale entropy (MSE), including, MSE values may be undefined for short ...

Fractal molecular structures constitute a distinct category of systems characterized by self-similarity and hierarchical growth patterns, which can be effectively examined by graph-theoretical methods ...

22/08/2023 - New full distribution files available for release v1.6.1; Changes for v1.6.1 include: Minor updates to supporting use in Python, including virtual environments; Minor tweaks to fish ...

A quantitative understanding of the strength and plasticity of crystalline solids requires the ability to predict the rate of thermally activated processes such as dislocation cross-slip. However, ...

from a time series of recordings (e.g. obtained via LabChart). RespMech is being refactored into a production-ready, installable package with a clean calculation core, a real command-line tool, and a ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience. Multivariate ...

Encoding the information before transmission is necessary to ensure data security and efficient delivery of the information. The MATLAB program presented here encodes and decodes the information and ...

Complex systems are increasingly being viewed as distributed information processing systems, particularly in the domains of computational neuroscience, bioinformatics, and artificial life. This trend ...