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Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts

机译：在增加呼吸努力中优化呼吸的新颖工作模型

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摘要

The respiratory control system is one of the most complex physiological systems, whose controller has been extensively modeled based on the criterion of minimizing work of breathing (WOB). However, cost functions and their related parameters are still an open topic. The aim of this paper is to evaluate different estimates of WOB for given ventilatory demands. Two known computations of mechanical work are compared with regard to an estimate proposed in this paper. Appropriate values for these parameters were found based on the best fitting of the breathing pattern obtained from experimental data during increased hypercapnia. The comparison among them was carried out from their breathing pattern predictability and the physiological viewpoint. For this purpose, two nested optimization processes were performed: minimization of prediction error, with regard to the experimental response, in order to obtain the best estimating parameters; identification of a breathing pattern that minimizes the mechanical WOB. The former was performed using Covariance Matrix Adaptation Evolution Strategy and the latter using sequential quadratic programming. Results show that the estimate proposed in this paper is less sensitive to their parameters and reaches a significantly lower prediction error of breathing pattern during increased ventilatory effort and a better interpretation from a physiological viewpoint.
机译：呼吸控制系统是最复杂的生理系统之一，其控制器已基于最小化呼吸功（WOB）的准则进行了广泛建模。但是，成本函数及其相关参数仍然是一个开放主题。本文的目的是针对给定的通风需求评估WOB的不同估算值。对于本文提出的估计，比较了两种已知的机械功计算。根据高碳酸血症期间从实验数据获得的最佳呼吸模式，找到这些参数的适当值。从他们的呼吸模式可预测性和生理学角度进行了比较。为此目的，执行了两个嵌套的优化过程：为了获得最佳的估计参数，将关于实验响应的预测误差最小化；确定最小化机械WOB的呼吸模式。前者使用协方差矩阵适应进化策略执行，而后者则使用顺序二次编程执行。结果表明，本文提出的估计值对它们的参数不太敏感，并且在增加通风量时达到了明显更低的呼吸模式预测误差，并且从生理角度可以更好地解释。

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  • 来源
    《IEEE systems journal》 |2016年第3期|1003-1013|共11页
  • 作者

    Leidy Y. Serna Higuita; Miguel A. Mañanas; A. Mauricio Hernández; Jesús Marína Sánchez; Salvador Benito;

  • 作者单位

    Department Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Universitat Politècnica de Catalunya, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Barcelona, SpainSpain;

    Department Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Universitat Politècnica de Catalunya, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Barcelona, SpainSpain;

    Bioinstrumentation and Clinical Research Group, Bioengineering Program, Universidad de Antioquia (UdeA), Medellín, Colombia;

    Department Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Universitat Politècnica de Catalunya, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Barcelona, SpainSpain;

    Department of Medicine, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Barcelona, SpainSpain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Optimization; Mathematical model; Equations; Physiology; Ventilation; Acceleration; Dispersion;

    机译：优化;数学模型;方程;生理学;通风;加速度;色散;

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