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pro vyhledávání: '"Behnaz Akbarian"'
Autor:
Behnaz Akbarian, Abbas Erfanian
Publikováno v:
Basic and Clinical Neuroscience, Vol 9, Iss 4, Pp 227-240 (2018)
Introduction: In this paper, nonlinear dynamical analysis based on Recurrence Quantification Analysis (RQA) is employed to characterize the nonlinear EEG dynamics. RQA can provide useful quantitative information on the regular, chaotic, or stochastic
Externí odkaz:
https://doaj.org/article/8d65cb9296a847f8989d94a64412e7f4
Autor:
Abbas Erfanian, Behnaz Akbarian
Publikováno v:
Basic and Clinical Neuroscience, Vol 9, Iss 4, Pp 227-240 (2018)
Basic and Clinical Neuroscience
Basic and Clinical Neuroscience
Introduction: In this paper, nonlinear dynamical analysis based on Recurrence Quantification Analysis (RQA) is employed to characterize the nonlinear EEG dynamics. RQA can provide useful quantitative information on the regular, chaotic, or stochastic
Autor:
Behnaz Akbarian, Abbas Erfanian
Publikováno v:
Biomedical Signal Processing and Control. 59:101878
Objective An epileptic seizure has a characteristic EEG pattern, which allows for its automatic detection. Statistical dependence between different brain regions measures by functional brain connectivity (FBC). Specific directional effects cannot be
Autor:
Abbas Erfanian, Behnaz Akbarian
Publikováno v:
NER
Functional brain connectivity (FBC) network has been used for characterizing the dynamics of seizure evolution. In this paper, FBC networks based on correlation coefficient (COR), cross-correlation (xCOR), coherence (COH), phase slope index (PSI), ph