Estimation of single event-related potentials utilizing the Prony method.
This paper deals with estimation of the waveform of a single event-related potential, sERP. An additive noise model is used for the measured signal and the SNR of the disturbed sERP is approximately 0 dB. The sERP is described by a series expansion where the basis functions are damped sinusoids. The fundamental basis function is estimated by the least squares Prony method, derived for colored noise. The performance of the Prony method for different forms of the power density spectrum of the noise is investigated. A white noise approximation can be used at a low signal-to-noise (SNR). The basis functions change slowly but the waveform of the sERP may vary from one stimulus to another, thus we average a small number of correlation functions in order to increase the SNR. The method is evaluated by using measurements from four subjects and the results confirm the variability of the sERP.
Hansson
M
M
Department of Electrical Engineering and Computer Sciences, Lund University, Sweden. mh@ttt.lthse
Gänsler
T
T
Salomonsson
G
G
D000465:Algorithms; D004569:Electroencephalography; D005071:Evoked Potentials; D006801:Humans; D016014:Linear Models; D008959:Models, Neurological; D011930:Reaction Time