A technique of stochastic parametric identification and filtering is applied to the analysis of single-sweep event-related potentials. This procedure, called AutoRegressive with n eXogenous inputs (ARXn), models the recorded signal as the sum of n+l signals: the background EEG activity, modeled as an autoregressive process driven by white noise, and n signals, one of which represents a filtered version of a reference signal carrying the average information contained in each sweep. The other (n-1) signals could represent various sources of noise (i.e., artifacts, EOG, etc.). An evaluation of the effects of both artifact suppression and accurate selection of the average signal on mono- or multi-channel scalp recordings is presented.
ARX FILTERING OF SINGLE-SWEEP MOVEMENT-RELATED BRAIN MACROPOTENTIALS IN MONO-CHANNEL AND MULTICHANNEL RECORDINGS / L., Capitanio; G. C., Filligoi; D., Liberati; S., Cerutti; Babiloni, Fabio; Fattorini, Luigi; A., Urbano. - In: METHODS OF INFORMATION IN MEDICINE. - ISSN 0026-1270. - 33:(1994), pp. 28-31.
ARX FILTERING OF SINGLE-SWEEP MOVEMENT-RELATED BRAIN MACROPOTENTIALS IN MONO-CHANNEL AND MULTICHANNEL RECORDINGS
BABILONI, Fabio;FATTORINI, Luigi;
1994
Abstract
A technique of stochastic parametric identification and filtering is applied to the analysis of single-sweep event-related potentials. This procedure, called AutoRegressive with n eXogenous inputs (ARXn), models the recorded signal as the sum of n+l signals: the background EEG activity, modeled as an autoregressive process driven by white noise, and n signals, one of which represents a filtered version of a reference signal carrying the average information contained in each sweep. The other (n-1) signals could represent various sources of noise (i.e., artifacts, EOG, etc.). An evaluation of the effects of both artifact suppression and accurate selection of the average signal on mono- or multi-channel scalp recordings is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.