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Like a weather forecast, but for seizures
Seizure forecasting shows you when you are at high risk or low risk for having a seizure, similar to how a weather forecast can tell us if we should expect rain or shine.
Much like with weather forecasting, seizure forecasting is based on historical data. So, a 70% chance of rain can sometimes end up being no rain at all – and a day of promised sunshine can still turn cloudy and grey.
Still, a seizure forecast is a powerful tool for planning activities and managing life with epilepsy.
How does the world’s first non-invasive seizure risk forecaster work?
Log your events, include details to help identify your triggers
Over time, the app will deliver insights about your seizure cycles*
See when you are high or low risk for seizure activity – Plan accordingly
*Individual seizure cycles are determined after at least 10 events have been logged in the Seer app. The frequency of seizures is a factor in establishing seizure cycles. Seizure risk forecasts become available once the app has identified strong seizure cycles.
A modern solution to an age-old question
Since ancient times, the question of if seizures could be predicted was largely theoretical.
Access to long-term EEG data and several critical discoveries have changed that and, now, the ability to have insights over one’s own risk for a seizure is finally here.
The underpinning of seizure forecasting technology
In collaboration with some of the world’s leading epilepsy researchers, the Seer Research Team has published several papers on the topic of seizure forecasting and seizure cycles in peer-reviewed journals.
Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study | 2018
Using data from over 10,000 seizure diaries (from SeizureTracker NeuroVista databases), this research paper verified that seizure cycles do exist and that most people have them.
Forecasting cycles of seizure likelihood | 2020
A majority of people with epilepsy exhibit circadian rhythms (24-hour cycles) in their seizure times. Using a mobile seizure diary app, this study developed personalized forecasts for it’s participants. Results showed that participants spent 67.1% of their time in a low-risk state and 14.8% of their time in a high-risk warning state.
Cycles in epilepsy | 2021
We know that cycles of epileptic brain activity operate over many timescales including daily (circadian), multi-day (multidien), and yearly (circannual). This paper reviews the tools identifying such cycles, highlights our knowledge gaps and explores how the concept of seizure risk can come to life.