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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.
Built for you, with you.
No one knows epilepsy the way people living with it do. With your help, we can continue to improve forecasting technology and the quality of life of those managing epilepsy.
Once you have the app, join our growing community to let us know what’s working for you – and what’s not.
How does the world’s first non-invasive seizure risk forecaster work?
*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.
Frequently asked questions
We have more frequently asked questions (FAQs), including answers to the questions asked as at the Seer Health launch event, available to read.
At this stage, we only support Fitbit devices. However, we eventually plan to support a range of wearable devices. The best way to stay updated with changes to the Seer app is to join our community newsletter. Alternatively, follow our social media pages.
Please note: Your Fitbit doesn’t record events, it acts as an additional source of data that the Seer app can use to better learn about your seizure cycles and improve your seizure risk forecast. The use of a Fitbit smartwatch along with the Seer app is useful, but it is not essential.
Seer Research has found that underlying physiological heart rate cycles could better guide epilepsy therapy and seizure forecasting systems. Wearable devices, like Fitbit smartwatches, can help track this data. You can learn more on our ‘Breakthrough: Heart rate cycles’ webpage.
The Seer app was designed for use by people over the age of 18. People under the age of 18 are still able to create an account but we highly recommend this is done under the direction of an adult/caregiver. We have found that many caregivers use the Seer app for epilepsy management on behalf of people under the age of 18.
Please note: Seer hasn’t specifically validated forecasting algorithms in children under the age of 16, although, we do believe that the body rhythms that cause the risk of seizures to go up and down are also present in younger people.
Seizure risk forecasting has been shown to work with people experiencing different types of epilepsy. Currently all events reported in the Seer app will contribute equally to the seizure risk forecast.
We are aware that some people experience multiple types of seizures, and that forecasting may be more important for some more than others — we would like to address this in future updates. If this sounds like you, we’d be very interested to hear your thoughts on how you might like different types of seizures to be managed within the Seer app. Please email us at community@seermedical.com.
First things first, you need to download or update the Seer app. To access your personalised seizure risk forecast you need to log at least 10 events — you can log past seizure diary data to do this. When the app has at least 10 events and it can understand your cycles, it will begin to display the risk of you having a seizure.
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.
Our research collaborators


