事件触发的智能双激素人造胰腺用于患者特定的药物输送
Divya Govindaraju1, Sutha Subbian2
1Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, 600044, Tamil Nadu, India. divyagovindaraju1996@gmail.com.
Scientific reports
|September 1, 2025
概括
本研究使用先进的机器学习和控制策略引入智能双激素人工胰腺 (SDHAP). 在1型糖尿病患者中,SDHAP有效控制血糖水平,提供个性化治疗.
科学领域:
- 生物医学工程
- 医学的人工智能
- 内分泌学
背景情况:
- 糖尿病会破坏血糖的调节,导致严重的健康并发症.
- 目前的人工胰腺系统面临的挑战是葡萄糖感应和胰岛素输送动态.
- 治疗1型糖尿病需要精确控制胰岛素和葡萄糖水平.
研究的目的:
- 开发一个智能双激素人工胰腺 (SDHAP) 具有事件触发反前控制.
- 通过解决传感和吸收延迟,增强T1D患者的血糖 (BG) 调节.
- 提高人工胰腺拒绝外界干扰的能力,
主要方法:
- 机器学习算法 (KNN,SVM) 和时间序列分析用于BG级分类和预测.
- 基于Bergman最小模型 (BMM) 的事件触发比例整合 (PI) 和模型预测控制 (MPC).
- 在低血糖和高血糖期间进行干扰排斥的Feedforward (FF) 控制器设计.
主要成果:
- 拟议的SDHAP在控制血糖水平方面表现出卓越的有效性.
- 根据个性化的病理状况提供患者特定的药物剂量.
- 系统成功地处理了BG波动,并拒绝了外部干扰.
结论:
- 与现有系统相比,SDHAP提供了更有效的T1D管理方法.
- 个性化,事件触发的控制策略提高了人造胰腺的性能.
- 这项技术有望改善1型糖尿病患者的生活质量.
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