Characteristic nonlinearities of the 3/s ictal electroencephalogram identified by nonlinear autoregressive analysis

Springer Science and Business Media LLC - Tập 72 - Trang 519-526 - 1995
Nicholas D. Schiff1, Jonathan D. Victor1, Annemarie Canel1, Douglas R. Labar1
1Department of Neurology and Neuroscience, The New York Hospital-Cornell Medical Center, New York City, USA

Tóm tắt

We describe a method for the characterization of electroencephalographic (EEG) signals based on a model which features nonlinear feedback. The characteristic EEG ‘fingerprints’ obtained through this approach display the time-course of nonlinear interactions, rather than aspects susceptible to standard spectral analysis. Fingerprints of seizure discharges in six patients (five with typical absence seizures, one with complex partial seizures) revealed significant nonlinear interactions. The timing and pattern of these interactions correlated closely with the seizure type. Nonlinear autoregressive (NLAR) analysis is compared with other nonlinear dynamical measures that have been applied to the EEG.

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Springer Science and Business Media LLC

Tập 72

519-526

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