| abstract |
A method comprises determining historical data associated with a subject experiencing epileptic events over a first time period, the historical data comprising non-EEG physiological data recorded over the first time period, and a time at which epileptic events occurred during the first time period. The method further comprises extracting from the non-EEG physiological data, one or more temporal models indicative of a subject specific cycle; and generating one or more temporal probabilistic models based on the respective one or more temporal models, the non-EEG physiological data, and the times at which each epileptic event occurred, wherein each temporal probabilistic model is representative of a probability of future seizure activity in each of a plurality of time windows. The method further comprises providing the one or more temporal probabilistic models for determining an estimate of seizure probability in the subject for one or more of the plurality of time windows. |