Epilepsy: a heuristic model for relating nocturnal sleep EEG spike distributions to the risk of seizure.
The cumulative temporal distribution of epileptiform events in the sleep EEG of epileptic patients is represented by a second-degree regression equation as a basis for summarizing properties of the spike distribution. This heuristic regression model attempts to provide a quantitative as well as an intuitive physical basis for understanding the relationship between epileptiform events and the state of the epileptic patient. The mathematical model is derived in this paper and the regression parameters associated with the model are interpreted. Computer implementation of the epileptiform event detection and the regression analysis have been carried out and typical results obtained from all-night EEG recordings are described.
D003201:Computers; D004569:Electroencephalography; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D008954:Models, Biological; D012044:Regression Analysis; D012306:Risk; D012890:Sleep / Q000502:physiology*