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ROBUST DETECTION OF DYNAMICAL CHANGE IN SCALP EEG
2001
Proceedings of the 5th Experimental Chaos Conference
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We present a robust, model-independenttechnique for measuring changes in the dynamics underlying nonlinear tune-serial data. We define indicators of dynamical change by comparirtg distributionfimctionson the attractor via L]-distanceand X2statistics. We apply the measuresto scalp EEG data with the objectiveof capturingthe transition between nonseizure and epileptic brain activity in a timely, accurate, and non-invasive manner, We find a clear superiority of the new metrics in comparison to
doi:10.1142/9789812811516_0017
fatcat:jihmwitsivc2jowopdj2jstl5m