title: A sampling theorem for EEG electrode configuration.
abstract: An analytical tool to help in selecting the number of electrodes required for recording electroencephalogram (EEG) signals is presented. The main assumption made is that the scalp can be modeled as a hemispherical surface. The number of sensors required to sample a surface is derived by using a mean square error (MSE) measure to approximate the continuous potential functions on the hemispherical surface. An algorithm for selecting the number of electrodes for arbitrary head geometries is also proposed. A sampling theorem is then derived with conditions on the sampling points for electrode placement.
authors.affiliation: Department of Electrical Engineering, University of Minnesota, Minneapolis 55455, USA.
authors.forename: C
authors.initials: C
authors.lastname: Vaidyanathan
authors.forename: K M
authors.initials: KM
authors.lastname: Buckley
mesh_terms: D000465:Algorithms; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation / Q000706:statistics & numerical data*; D006801:Humans; D012535:Scalp