通过使用神经刺激来预测心血管系统的多模型预测控制.
Yuyu Yao1, Mayuresh V Kothare1
1Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA 18015 USA.
概括
这项研究引入了一个闭环系统,用于神经刺激 (VNS),以精确控制心率和血压. 这种方法通过个性化刺激参数来优化心血管疾病的VNS疗法.
科学领域:
- 心血管医学 心血管医学
- 生物医学工程 生物医学工程
- 控制系统 控制系统
背景情况:
- 阴道神经刺激 (VNS) 显示出治疗心血管疾病的潜力,如心力衰竭,心律失常和高血压.
- 目前的VNS疗法使用具有启发式确定参数的开放循环系统,导致有效性不确定.
- 需要一种闭环方法来优化患者特定的VNS参数,以改善治疗结果.
研究的目的:
- 为自动化VNS开发一个闭环多个模型预测控制 (MPC) 算法.
- 为了优化刺激参数 (振幅和频率) 调节心率和平均动脉压.
- 通过硬件在循环模拟验证闭环VNS算法的计算效率.
主要方法:
- 为VNS开发了一种多模型预测控制算法.
- 利用以前报告的脉动性大鼠心脏模型模拟高血压.
- 从心脏模型中确定了休息和运动状态的局部模型.
- 在三个神经位置调整了电脉冲振幅和频率.
- 通过硬件在循环实现验证的计算费用.
主要成果:
- 成功开发并模拟了一个闭环VNS控制算法.
- 证明了算法的调节心率和平均动脉压力的能力.
- 验证了拟议MPC方法的计算可行性.
结论:
- 一个闭环MPC算法为优化VNS治疗提供了一个有希望的方法.
- 自动化,针对患者的VNS参数调整可以提高心血管疾病治疗的疗效.
- 开发的方法显示了在控制心率和血压方面临床翻译的潜力.
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