Selective averaging of evoked potentials using trajectory-based clustering.
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.
Jansen
B H
BH
Department of Electrical Engineering, University of Houston.
Nyberg
H N
HN
Zouridakis
G
G
D016000:Cluster Analysis; D004569:Electroencephalography; D005071:Evoked Potentials; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors