title: 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.
authors.affiliation: Department of Electrical Engineering, University of Houston.
authors.forename: B H
authors.initials: BH
authors.lastname: Jansen
authors.forename: H N
authors.initials: HN
authors.lastname: Nyberg
authors.forename: G
authors.initials: G
authors.lastname: Zouridakis
mesh_terms: D016000:Cluster Analysis; D004569:Electroencephalography; D005071:Evoked Potentials; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors