Analytical design of sensor configuration for EEG

Addresses the problem of electrode configuration design for recording electroencephalogram (EEG) signals. The standard 10-20 configuration, which is widely employed, uses 21 sensors and had been demonstrated to be inadequate. EEG researchers, therefore, have been using more sensors. However, no theoretical studies have been conducted on selecting the number of sensors and for placement of the electrodes. Here, the authors present a technique based on finite sum approximation to a continuous potential function on the surface of a sphere. They then borrow techniques from sampling theory to select the number of sensors and a suggest a strategy for placing them