Brainatics: prediction, detection and monitoring of Epilepsy

Description of impact

Epilepsy is one of the most common neurological diseases. It is characterised by apparently unpredictable seizures that severely affect the quality of patients' life. In this case study we demonstrate how our research has derived commercial impact within the medical technology industry, as well as impact on researchers and practitioners in neuroscience and medical science. Mathematical research carried out at the Institute of Pure and Applied Mathematics (IPAM) at the University of Aberdeen has led to a threefold impact. First, our research shaped the development, implementation and validation of a new software platform, called EPILAB, containing a vast number of sophisticated algorithms targeting seizure prediction together with novel statistical tools to evaluate prediction performance. Second, our research resulted in commercial impact through the development of a new automatic long term monitoring device, called LTM-EU, by one of our industrial collaborators, Micromed (Italy). Third, a direct consequence of our research is the compilation and commercial exploitation of the world's largest epilepsy database of its type, which enables novel studies into seizure prediction in epilepsy.

Impact status	Impact Completed (Open)
Category of impact	Health and Wellbeing