ROLE OF MODEL NONLINEARITY FOR GRANGER CAUSALITY BASED COUPLING ESTIMATION FOR PATHOLOGICAL TREMOR
Cite this article as:
Sysoev I. V., Karavaev A. S. ROLE OF MODEL NONLINEARITY FOR GRANGER CAUSALITY BASED COUPLING ESTIMATION FOR PATHOLOGICAL TREMOR. Izvestiya VUZ. Applied Nonlinear Dynamics, 2010, vol. 18, iss. 4, pp. 81-90. DOI: https://doi.org/10.18500/0869-6632-2010-18-4-81-90
Estimating coupling between systems of different nature is an urgent field of nonlinear dynamics method application. This work aims to compare classical linear Granger approach and its nonlinear analogues based on analysis of ethalon dynamical systems and neurophysiological data. The results achieved show nonlinear approach to be more sensitive, and so it is able to detect significant coupling, when linear one fails.
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BibTeX
author = {Ilya Vyacheslavovich Sysoev and A. S Karavaev},
title = {ROLE OF MODEL NONLINEARITY FOR GRANGER CAUSALITY BASED COUPLING ESTIMATION FOR PATHOLOGICAL TREMOR},
year = {2010},
journal = {Izvestiya VUZ. Applied Nonlinear Dynamics},
volume = {18},number = {4},
url = {https://old-andjournal.sgu.ru/en/articles/role-of-model-nonlinearity-for-granger-causality-based-coupling-estimation-for-pathological},
address = {Саратов},
language = {russian},
doi = {10.18500/0869-6632-2010-18-4-81-90},pages = {81--90},issn = {0869-6632},
keywords = {coupling analysis,nonlinear Granger causality,processing EEGs,dynamic modeling},
abstract = {Estimating coupling between systems of different nature is an urgent field of nonlinear dynamics method application. This work aims to compare classical linear Granger approach and its nonlinear analogues based on analysis of ethalon dynamical systems and neurophysiological data. The results achieved show nonlinear approach to be more sensitive, and so it is able to detect significant coupling, when linear one fails. }}