SBIR Phase II: Neural Inverse Control for Ventilators

SBIR 第二阶段：呼吸机的神经逆控制

• 批准号: 9983474
• 负责人: Neil Euliano
• 金额: $ 40万
• 依托单位: Convergent Engineering, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-15 至 2003-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9983474&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Neural; Inverse

This Small Business Innovation Research Phase II project from NeuroDimension Incorporated will develop new, biologically inspired solutions to the problem of ventilator control of human subjects. The problem is difficult because the patient is analogous to a time-varying, nonlinear plant. Adaptive inverse control is powerful enough to adapt to changing conditions while maintaining system stability. In Phase I, NeuroDimension developed a control architecture and development environment for neural inverse control and applied it to controlling a ventilator. This solution outperformed the state-of-art commercial ventilator. The goal is to develop a system that will optimize most of the major settings currently set by clinicians on present-day ICU ventilators. The complexity of these ventilators subject their operators to speculative and empirical interpretation of many ventilatory parameters, leading to potentially hazardous misuse. NeuroDimension proposed system will model and extract relevant physiologic conditions in the patient and use this information to either control the ventilator automatically or to advise the clinician on how to change the settings. The primary technical approach utilizes neural fuzzy hybrid systems, Kohonen self-organizing maps (SOMs)-a SOM clusters the input space and assigns a different model to each cluster--and switching multiple inverse controllers. The firm has assembled a unique team of experts in the fields of neural control and ventilation to accomplish this task.NeuroDimension proffers technology that has application to a number of possible products including, inverse neural control application software; an ultra-intelligent respiratory monitor; and an easy to use and optimal closed-loop ventilator controller.

NeuroDimension公司的这个小型企业创新研究第二阶段项目将开发新的、受生物启发的解决方案，以解决人类受试者的呼吸机控制问题。这个问题很困难，因为病人就像一个时变的、非线性的对象。自适应逆控制在保持系统稳定性的同时，具有足够的能力来适应变化的条件。在第一阶段，NeuroDimension开发了神经反向控制的控制架构和开发环境，并将其应用于控制呼吸机。这一解决方案的性能超过了最先进的商用呼吸机。目标是开发一种系统，优化目前临床医生在当今ICU呼吸机上设置的大多数主要设置。这些呼吸机的复杂性使其操作员必须对许多呼吸机参数进行推测性和经验性的解释，导致潜在的危险误用。NeuroDimension建议的系统将对患者的相关生理条件进行建模和提取，并使用这些信息自动控制呼吸机或建议临床医生如何更改设置。主要的技术方法是利用神经模糊混合系统、Kohonen自组织映射(SOM)--一种SOM将输入空间聚类并为每个聚类分配不同的模型--以及切换多个逆控制器。该公司在神经控制和通风领域组建了一支独特的专家团队来完成这项任务。NeuroDimension提供的技术已应用于许多可能的产品，包括反向神经控制应用软件；超智能呼吸监护仪；以及易于使用的最佳闭环式呼吸机控制器。