Personalised Epileptic Seizure Forecasting

Online

IEEE EMBS Distinguished Lecture by Prof David Grayden Epilepsy is a common and serious neurological disorder, characterised by recurrent seizures, affecting over 60 million people worldwide. The inherent unpredictability of seizures is a significant factor contributing to the risk of injury, psychosocial disability, and mortality. In these cases, the quality of life impairment compares unfavourably with other chronic illnesses such as hypertension, diabetes or heart disease, and the uncertainty of seizure occurrence is a major component of this impairment. New methods for epilepsy treatments, therapy titration and seizure forecasting are desperately needed. Artificial intelligence technologies offer opportunities to automatically detect and even forecast epileptic seizures, which may allow new management strategies and pre-emptive therapies for seizure control that will increase patient safety and quality of life. Registration:  https://events.vtools.ieee.org/m/239446   A Zoom link will be sent out one day before the event. For any further information contact: IEEE EMBS Chapter (Paul.Junor@gmail.com)  

Free