Personalised Epileptic Seizure Forecasting
April 17 @ 6:00 pm - 7:30 pm
Note: Due to current circumstances, we may postpone or cancel the event. Contact us for more information.
Evening Lecture: IEEE EMBS Distinguished
Lecturer: Prof David Grayden
Abstract: Epilepsy is a common and serious neurological disorder, characterised by recurrent seizures, affecting over 60 million people worldwide. Between 30-40% of sufferers’ seizures are not adequately controlled with current therapies. 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.
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Contact: IEEE Victorian Engineering in Medicine and Biology Society (EMBS) – Paul.Junor@gmail.com