在线分类的非结构化的自由生活在1型糖尿病患者的炼课程
Emilia Fushimi1,2, Eleonora M Aiello1,3, Sunghyun Cho1
1Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.
Diabetes technology & therapeutics
|February 28, 2024
概括
管理1型糖尿病的运动是复杂的,因为不同的葡萄糖效应. 这项研究开发了一个AI模型来分类运动类型 (有氧,间歇,阻力) 以改进自动化胰岛素输送系统.
科学领域:
- 内分泌学和新陈代谢学
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
背景情况:
- 在1型糖尿病 (T1D) 中,由于不同的血糖影响,运动管理具有挑战性.
- 自动化胰岛素输送系统 (AID) 需要准确的运动分类来实现最佳的血糖控制.
研究的目的:
- 开发和验证运动事件 (结构化和非结构化) 的分类模型,将其分为有氧,间歇或阻力类型.
- 为了使其能够集成到AID系统中,用于管理运动引起的血糖干扰.
主要方法:
- 一个长期短期记忆网络模型被训练使用结构化炼会话的真实世界数据.
- 数据包括三轴加速度计,心率和活动持续时间.
- 该算法对15种常见的自由生活活动进行了分类,并将它们与葡萄糖变化联系起来.
主要成果:
- 该模型在有机运动中达到72%的精度,在间歇运动中达到65%的精度,在结构化练习中达到77%的耐力练习的精度.
- 在3328个非结构化会议上进行了测试,该算法确定了与预期的葡萄糖变化相关的身体活动.
- 平均葡萄糖变化为 -20.8 (有氧), -16.2 (间隔) 和 -11.6 (抵抗) mg/dL.
结论:
- 开发的算法可靠地识别身体活动及其相关的葡萄糖变化.
- 这种分类功能可以集成到AID系统中,以便在运动期间个性化血糖管理.
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