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Infradian rhythms of human heart rate reveal distinct multiday cycle periods in healthy adults
Extends RiPL's seizure-cycle work to healthy adults, showing multiday heart-rate rhythms are a normal feature of human physiology, not just a marker of disease.
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Recent Papers
Investigation of stress hormones across multiday seizure cycles
Saliva cortisol tracked across predicted high- and low-risk periods shows hormone levels rise at the peak of a person's multiday seizure cycle.
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Timing is everything: expert opinion on researching epilepsy rhythms by the ILAE Task Force on Chronobiology
An ILAE Chronobiology Task Force position paper on best practice for studying rhythms in epilepsy, co-authored by RiPL.
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Seizure forecasting: the long and winding road to clinical translation
A review of the path from seizure-cycle research to forecasting tools that clinicians and patients can actually use.
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Pro-ictal EEG scheduling improves the yield of epilepsy monitoring
Validates using multiday seizure cycles to time video-EEG monitoring, catching more seizures per admission.
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More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors
Long-term wearable heart-rate data shows people with epilepsy have more variable circadian rhythms than those without.
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Monthly or menstrual? A scoping review of catamenial epilepsy and non-menstrual seizure rhythms
Distinguishes menstrual-linked seizure patterns from other multiday cycles that can look similar on the surface.
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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study
Combining seizure and heart-rate cycles from wearables into a single forecasting algorithm improved seizure-risk prediction, validated prospectively for the first time.
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Forecasting epileptic seizures with wearable devices: a hybrid short and long horizon pseudo-prospective approach
A hybrid machine-learning and cycle-based approach using commercial smartwatches forecast seizures from minutes to 44 days ahead, cutting high-risk time by 29%.
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User experience of a seizure risk forecasting app: a mixed methods investigation
Surveys and interviews with app users show seizure-risk forecasting can boost feelings of control and self-knowledge, especially for those with mood-disorder symptoms.
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Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity
RiPL's first characterisation of circadian and longer cycles in interictal spikes and seizures from continuous EEG recordings.
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Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study
A retrospective cohort study showing daily and weekly seizure cycles are far more common than previously recognised.
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Cycles in epilepsy
A review of what multiday cycles mean for understanding and forecasting epilepsy.
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The circadian profile of epilepsy improves seizure forecasting
Shows that accounting for a person's circadian seizure pattern improves the accuracy of seizure forecasting algorithms.
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Multiday cycles of heart rate are associated with seizure likelihood
Wearable heart-rate data reveals circadian, weekly and monthly cycles in nearly all participants, with seizures phase-locked to these cycles in many people with epilepsy.
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Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration
Wearable sleep tracking shows consistent bed and wake times matter more for seizure risk than how long someone sleeps.
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Heart-rate rhythms research makes headlines
RiPL's discovery of multiday heart-rate cycles in healthy adults was covered by The Conversation and the Herald Sun, bringing the research to a wider public audience.
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Rachel and Michaela join the 2026 MAP Accelerator
Dr Rachel Stirling and Dr Michaela Vranic-Peters are taking their startup, NeuroLog, through the 2026 MAP Accelerator program.
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rhythmo.me launched
A publicly accessible web app to identify, understand and forecast multiday rhythms, grown out of our discovery of multiday chronotypes.
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Prime Minister's Prize for New Innovators
RiPL's seizure-forecasting research was recognised with the 2022 Prime Minister's Prize for New Innovators.
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