Abstract
Measurement of P300 which is a component of evoked potential (EVP) is important for clinical diagnosis. P300 component is usually estimated by summing up a large number of responses for reducing the background wave such as alpha activities since its amplitude is smaller than background wave. The present method therefore unable us to analyze the time-varing state of response in detail.
In this work, we propose a new method of estimating P300 component from a single trial response using the trend model. Assuming that each trial response consists of EVP, background wave and noise component, we model the EVP as the trend of time series which varies stocastically, background wave as AR process and noise as white. Considering the properties of three components Kalman-filter is constituted in order to estimate three components from a single trial response. The performance of the method is evaluated using model waves and mesured signals of event related potentials. Results showed that the method have the ability to estimate P300 component precisely even in the case of low S/N.
