ATmOSPhErE
Funded research projectATmOSPhErE: Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy: moving from prototype to a minimum viable product
Research lead
Project core team
Rosie Charles
Dr Leandro Junges
Dr Liz Stuart
Phil Tittensor
Hub Research theme
Smartphone and wearable technologies
Hub Researcher(s) in Residence
Matthew Wragg
Emily Nielsen
Background
Epilepsy affects the brain, causing repeated seizures. Epilepsy puts people at greater risk of injury and premature death. It can affect people’s social life, work life and mental health. People with epilepsy say that the unpredictability of seizures is one of the biggest problems.
Intended outcomes
Dr Brigden’s team is working on technology which can provide a forecast on the likelihood of seizure. The technology aims to improve safety by enabling precautions to be taken during high-risk periods. It can also empower individuals to undertake activities during low-risk periods.
The technology relies on the collection of a range of data through smartwatches and smartphone apps. This data is used as input to the seizure forecasting technology. The technology then uses advanced mathematics to estimate how likely a seizure is in the near future.
The team have developed early versions of the seizure forecasting technology. In this project, they will develop a more finished version of the smartphone app and improve the mathematical models.