A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection

Nader Moharamzadeh | Ali Motie-Nasrabadi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=169827
Date :  2022/02/15
Publish in :    Biomedical Engineering / Biomedizinische Technik
DOI :  https://doi.org/10.1515/bmt-2021-0058
Link :  https://pubmed.ncbi.nlm.nih.gov/34953180/
Keywords :fuzzy system, ANFIS, Connectivity

Abstract :

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The brain is considered to be the most complicated organ in human body. Inferring and quantification of effective (causal) connectivity among regions of the brain is an important step in characterization of its complicated functions. The proposed method is comprised of modeling multivariate time series with Adaptive Neurofuzzy Inference System (ANFIS) and carrying out a sensitivity analysis using Fuzzy network parameters as a new approach to introduce a connectivity measure for detecting causal interactions between interactive input time series. The results of simulations indicate that this method is successful in detecting causal connectivity. After validating the performance of the proposed method on synthetic linear and nonlinear interconnected time series, it is applied to epileptic intracranial Electroencephalography (EEG) signals. The result of applying the proposed method on Freiburg epileptic intracranial …