publication . Article . 2016

Reconstructing Time-Dependent Dynamics

Clemson, Philip; Lancaster, Gemma; Stefanovska, Aneta;
Open Access
  • Published: 01 Feb 2016 Journal: Proceedings of the IEEE, volume 104, pages 223-241 (issn: 0018-9219, eissn: 1558-2256, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • Country: United Kingdom
Abstract
The usefulness of the information contained in biomedical data relies heavily on the reliability and accuracy of the methods used for its extraction. The conventional assumptions of stationarity and autonomicity break down in the case of living systems because they are thermodynamically open, and thus constantly interacting with their environments. This leads to an inherent time-variability and results in highly nonlinear, time-dependent dynamics. The aim of signal analysis usually is to gain insight into the behavior of the system from which the signal originated. Here, a range of signal analysis methods is presented and applied to extract information about tim...
Subjects
free text keywords: Electrical and Electronic Engineering, Time–frequency analysis, Living systems, Nonlinear system, Bayesian inference, Coherence (physics), Statistical physics, Theoretical computer science, System dynamics, Signal processing, Dynamical systems theory, Computer science
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publication . Article . 2016

Reconstructing Time-Dependent Dynamics

Clemson, Philip; Lancaster, Gemma; Stefanovska, Aneta;