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

低血糖仍然是需要胰岛素治疗的1型糖尿病和2型糖尿病患者发病和死亡的主要原因。目前对夜间低血糖的治疗通常无效。结合脑电波记录和人工智能，我们将确定导致低血糖发作的变化，从而开发一种非侵入性设备来预防或减轻这些可怕的和可能危及生命的事件。

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.