ATMOSPHERE: Epilepsy Seizure Forecasting Using Wearable Devices

Epilepsy is a chronic neurological disorder affecting individuals globally, marked by recurrent and apparently unpredictable seizures that pose significant challenges, including increased mortality, injuries, and diminished quality of life. Despite advancements in treatments, a significant proportion of people with epilepsy continue to experience uncontrolled seizures. The apparent unpredictability of these events has been identified as a major concern for people with epilepsy, highlighting the need for innovative seizure forecasting technologies.

The ATMOSPHERE study aims to develop and evaluate a digital intervention, using wearable technology and data science, that provides real-time, individualised seizure forecasting for individuals living with epilepsy. We are working with healthcare professionals and people living with epilepsy to co-design and iteratively develop this intervention. By leveraging predictive analytics and personalised machine learning models, this technology seeks to offer a novel approach to managing epilepsy, potentially improving clinical outcomes, including quality of life through increased predictability and seizure management.