AUTOMATIC SEIZURE DETECTION BASED ON NONLINEAR DYNAMICAL ANALYSIS OF EEG SIGNALS AND MUTUAL INFORMATION

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AKBARIAN BEHNAZ; ERFANIAN ABBAS

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Basic and Clinical Neuroscience Year:2018 | Volume:9 | Issue:4 Page(s): 227-239

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Information Journal Paper

Title

AUTOMATIC SEIZURE DETECTION BASED ON NONLINEAR DYNAMICAL ANALYSIS OF EEG SIGNALS AND MUTUAL INFORMATION

Author(s)

AKBARIAN BEHNAZ | ERFANIAN ABBAS | Issue Writer Certificate

Keywords

EPILEPSY

MUTUAL INFORMATION

NONLINEAR ANALYSIS

RECURRENCE QUANTIFICATION ANALYSIS

SEIZURE DETECTION

Abstract

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 property of the underlying dynamics.Methods: We use the RQA-based measures as the quantitative features of the nonlinear EEG dynamics. MUTUAL INFORMATION (MI) was used to find the most relevant feature subset out of RQA-based features. The selected features were fed into an artificial neural network for grouping of EEG recordings to detect ictal, interictal, and healthy states. The performance of the proposed procedure was evaluated using a database for different classification cases.Results: The combination of five selected features based on MI achieved 100% accuracy, which demonstrates the superiority of the proposed method.Conclusion: The results showed that the nonlinear dynamical analysis based on Rcurrence Quantification Analysis (RQA) can be employed as a suitable approach for characterizing the nonlinear EEG dynamics and detecting the seizure

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APA: Copy

AKBARIAN, BEHNAZ, & ERFANIAN, ABBAS. (2018). AUTOMATIC SEIZURE DETECTION BASED ON NONLINEAR DYNAMICAL ANALYSIS OF EEG SIGNALS AND MUTUAL INFORMATION. BASIC AND CLINICAL NEUROSCIENCE, 9(4), 227-239. SID. https://sid.ir/paper/327901/en

Vancouver: Copy

AKBARIAN BEHNAZ, ERFANIAN ABBAS. AUTOMATIC SEIZURE DETECTION BASED ON NONLINEAR DYNAMICAL ANALYSIS OF EEG SIGNALS AND MUTUAL INFORMATION. BASIC AND CLINICAL NEUROSCIENCE[Internet]. 2018;9(4):227-239. Available from: https://sid.ir/paper/327901/en

IEEE: Copy

BEHNAZ AKBARIAN, and ABBAS ERFANIAN, “AUTOMATIC SEIZURE DETECTION BASED ON NONLINEAR DYNAMICAL ANALYSIS OF EEG SIGNALS AND MUTUAL INFORMATION,” BASIC AND CLINICAL NEUROSCIENCE, vol. 9, no. 4, pp. 227–239, 2018, [Online]. Available: https://sid.ir/paper/327901/en

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