Title :
A sampling theorem for EEG electrode configuration
Author :
Vaidyanathan, Chandra ; Buckley, Kevin M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
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.
Keywords :
arrays; electroencephalography; EEG electrode configuration; analytical tool; arbitrary head geometries; continuous potential functions; electrode placement; electrodes number; electrodiagnostics; hemispherical surface; sampling points; sampling theorem; sensors number; Biomedical electrodes; Biomedical measurements; Brain modeling; Electroencephalography; Equations; Head; Mean square error methods; Sampling methods; Scalp; Signal analysis; Algorithms; Electrodes; Electroencephalography; Humans; Scalp;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
