Epileptic seizure detection with wearable devices

Epilepsy is one of the most common neurological disorders in the world, affecting around 50 million people worldwide. The diagnosis of epilepsy can be confirmed in-hospital via video-electroencephalography (vEEG). Currently, long-term monitoring is limited to self-reporting seizure occurrences by the patients. In recent years, the development of wearable sensors has allowed monitoring patients outside of specialised environments. However, it is unfeasible to manually analyse the large amounts of data recorded by the devices. In our work, we focus on the development of automated seizure detection frameworks for identifying seizures in the wearable data — to aid clinicians in monitoring patients long-term, providing a better diagnosis and tracking the progression of the disease over time.