Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artefacts. Where those artefacts indicate prolonged spiking in blink calmness (for example based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.
ANALYSIS OF NEUROLOGICAL CONDITIONS, INCLUDING PREDICTION OF FUTURE SEIZURE EVENTS AND/OR DETECTION OF CURRENT SEIZURE EVENTS, BASED ON ANALYSIS OF BLEPHAROMETRIC DATA