Non-invasive detection of hypoglycaemia in people with diabetes using brain wave activity

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Hypoglycaemia remains a major cause of morbidity and mortality in people with both type 1 diabetes and type 2 diabetes who require insulin therapy. Current treatments for nocturnal hypoglycaemia are usually ineffective. Combining brain wave recording and artificial intelligence, we will identify the changes that precipitate an episode of hypoglycaemia allowing the development of a non-invasive device to prevent or alleviate these fearful and potentially life-threatening events.