![]() ![]() However, 14 of 34 subjects showed significant differences between their sleep onset (bed) and/or offset (wake) times before seizure occurrence. Just 5 of 34 participants showed a significant difference in sleep duration the night before seizure days compared to seizure-free days. There was a trend for participants with epilepsy to sleep longer than the general population, although this difference was not significant. For participants with at least 10 seizure days ( n = 34), sleep features were analysed for significant changes prior to seizure days.Ī total of 4956 reported seizures (mean = 83, standard deviation = 130) and 30 485 recorded sleep nights (mean = 508, standard deviation = 445) were included in the study. Sleep features in participants with epilepsy were compared to a large ( n = 37 921) representative population of Fitbit users, each with 28 days of data. Multiple sleep features were investigated, including duration, oversleep and undersleep, and sleep onset and offset times. Sixty subjects wore a Fitbit smartwatch for at least 28 days while reporting their seizure activity in a mobile app. We conducted a longitudinal study investigating sleep parameters and self-reported seizure occurrence in an ambulatory at-home setting using mobile and wearable monitoring. ![]() However, emerging evidence paints a more nuanced picture of the relationship between seizures and sleep, with bidirectional effects between changes in sleep and seizure risk in addition to modulation by sleep stages and transitions between stages. Hence, people diagnosed with epilepsy are commonly asked to maintain consistent sleep routines. Sleep duration, sleep deprivation and the sleep–wake cycle are thought to play an important role in the generation of epileptic activity and may also influence seizure risk. ![]()
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