Month: January 2026

Release of V1.10 of the Open Seizure Database

Thank you to everyone who has signed up to our Data Sharing programme to contribute to the anonymous Open Seizure Database. Version 1.10 of the database is now available for research under our licence (which requires that the research is published so that the OpenSeizureDetector project has the opportunity to benefit from the research).

We now have over 250 seizure events recorded in the database, and I have been working on a Machine Learning algorithm using it, which I hope to incorporate into the next release of the OpenSeizureDetector app in a few weeks.

The database is however dominated by three major contributors as you can see from the graph below.

It would be best to have seizures from as wide a variety of people as possible to make sure that the model we produce using the data is as general as possible and will work for people who do not have data in the database.

So if you or someone you know has regular seizures, please consider wearing a watch and running OpenSeizureDetector to contribute to the database – you only need a PineTime watch to be able to contribute, so the cost is low.

If you are interested in carrying out research into seizure detection using the database, please get in touch and we can give you access to the data (osdb@openseizuredetector.org.uk or graham@openseizuredetector.org.uk).

Thanks!

Graham.

Progress with Machine Learning (AI) Seizure Detection Algorithm

I have spent some time over the Christmas break using the data that users have contributed via our Data Sharing (the Open Seizure Database) system.
It looks like I have a model for a single user which detects seizures better than our deterministic algorithm and has a much lower (4.7x) false alarm rate, which is what I was hoping to achieve with a Machine Learning model.

There is a very technical description of the progress for those who are interested here: https://github.com/OpenSeizureDetector/OpenSeizureDatabase/blob/main/Publications/User_Specific_Training_Report_1A.pdf

The next steps are to update the Android App so that it can download different models from our web site and publish that for beta testing.

I will then test the new model to make sure that we have not introduced a lot of other possible false alarm initiators before I train and test it against the whole Open Seizure Database. If that is testing I will make the new version of the app and this model available for all users for testing to see how it performs in the real world.

Graham
(graham@openseizuredetector.org.uk)