EEG signal processing based on proper orthogonal decomposition

Proper orthogonal decomposition (POD) is proposed to decompose and reconstruct multidimensional electroencephalo-graph (EEG) signal. With this method, EEG signal can be represented by orthonomal basis, eigenfuction mode and main coordinate component. The eigenfuction mode is deterministic functions of spatial information, and the main coordinate component is the random function of real time information. In this modal decomposition way, EEG signal can not only be compressed in a certain least squares optimal sense, but also be predicted for any random scalp position.