Selective Averaging of Evoked Potentials using Trajectory-Based Clustering

Abstract:

A clustering method has been developed to group evoked potentials that display similar prestimulus dynamic behavior. The procedure involves using the method of time delay embedding to construct a trajectory in state space from a time series. Certain features that characterize the geometry of the trajectory have been defined. The trajectory-based clustering algorithm has been applied to visual evoked potentials to determine relationships between prestimulus EEG and evoked potential shape.

Keywords:

Evoked Potentials - Selective Averaging - Nonlinear Dynamics

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