A sampling theorem for EEG electrode configuration

Author

Vaidyanathan, Chandra ; Buckley, Kevin M.

Author_Institution

Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA

Volume

44

Issue

1

fYear

1997

Firstpage

94

Lastpage

97

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.553717

Filename

553717