可穿戴计算机
医学
人口
随机对照试验
交叉研究
物理疗法
2型糖尿病
糖尿病
会话(web分析)
计算机科学
内科学
内分泌学
病理
替代医学
嵌入式系统
万维网
环境卫生
安慰剂
作者
Peter G. Jacobs,Navid Resalat,Wade W. Hilts,Gavin Young,Joseph Leitschuh,Joseph Pinsonault,Joseph El Youssef,Deborah Branigan,Virginia Gabo,Jae H. Eom,Katrina Ramsey,Robert H. Dodier,Clara Mosquera-Lopez,Leah M. Wilson,Jessica R. Castle
标识
DOI:10.1016/s2589-7500(23)00112-7
摘要
Exercise can rapidly drop glucose in people with type 1 diabetes. Ubiquitous wearable fitness sensors are not integrated into automated insulin delivery (AID) systems. We hypothesised that an AID can automate insulin adjustments using real-time wearable fitness data to reduce hypoglycaemia during exercise and free-living conditions compared with an AID not automating use of fitness data.
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