Biomedical Signal Processing and Modeling Complexity of Living Systems 2014

Carlo Cattani,Shengyong Chen,Igor Pantic

doi:10.1155/2015/567303

Abstract

Biomedical Signal Processing and Modeling Complexity of Living Systems 2014

Highlights

This special issue includes papers, mainly on these aspects: (1) modeling dynamical complexity in living systems, (2) methods for analysis and characterization of dynamical complexity, (3) biomedical signal analysis, and (4) biomedical image analysis
Living systems are often maintained by information flows, and, as such, they present interesting mathematical problems, for instance, in the modeling and the analysis of spatial structures, self-organization, environmental interaction, behavior, and development
Many researchers have been studying these problems because of their interesting mathematical features and because of their scientific importance. The focus of this special issue is the mathematical analysis and modeling of time series in living systems and biomedical signals. It is mostly interested in the related new development of both theoretical study and practical implementation, with either modeling, complexity, statistics, or signal transformation in living systems

Summary

Introduction

This special issue includes papers, mainly on these aspects: (1) modeling dynamical complexity in living systems, (2) methods for analysis and characterization of dynamical complexity, (3) biomedical signal analysis, and (4) biomedical image analysis. Editorial Biomedical Signal Processing and Modeling Complexity of Living Systems 2014 Living systems are often maintained by information flows, and, as such, they present interesting mathematical problems, for instance, in the modeling and the analysis of spatial structures, self-organization, environmental interaction, behavior, and development. Biomedical signals extract information from the complex phenomena being measured, which are typically a time series having both a regular and random component.

Results

Conclusion