Abstracts

Rationale: The integration of new wearable technologies that allow to collect EEG and extra-cerebral signals into a portable system might be the solution to identify times of high seizure risk in patients with epilepsy. It will be crucial cause epileptic seizures severely affect the life of patients due to their recurrence and unpredictability. Here, we describe first experiences with a long period of independently, remotely, and continuously acquisition of multiple non-invasive variables at-home by a patient with epilepsy.

Methods: One adult with pharmaco-resistant epilepsy was enrolled in a six-months study, whereby, after a week training period, he was instructed to self-apply a portable EEG recording system (ANT Neuro) to record 10 minutes of eyes-closed scalp EEG, twice a day. In addition, he was instructed to use a wrist-worn device continuously (Fitbit Charge 3) and complete a twice-daily questionnaire on seizure occurrence and triggers (stress, mood, sleep) through a smartphone app (Seer App). Acceptability to the study procedures was assessed via standardized questionnaires (Post-Study System Usability Questionnaire, PSSUQ and the System Usability Scale, SUS) after the initial training and then monthly until the end of the study. Circadian and multiday cycles of self-reported seizures were assessed by reviewing circular histograms at different timescales, and statistical significance was determined by the Rayleigh test for non-uniformity, after multiple comparisons correction by the Benjamini-Hochberg false discovery rate (FDR) procedure. Significance was assessed at p< 0.05.