Computer diagnosis from EEG signals using bootstrap identification
SABAH S. ALSHORIDH, R. M. PRASAD · International Journal of Systems Science · 1982
This paper considers a new parametric model for analysis of EEG signals. Three different bootstarp type algorithms are attempted to fit the model to observed data. Model parameters are described in terms of spectral properties of the KEG. One normal and two pathological records are studied. Results of ease studies are interesting and indicate the usefulness of model and algorithms in the computer processing of EEG.