Kwok Hoi-Fei, Linkens Derek A, Mahfouf Mahdi, Mills Gary H
Department of Automatic Control and Systems Engineering (ACSE), University of Sheffield, Sheffield SI 3JD, UK.
IEEE Trans Inf Technol Biomed. 2004 Jun;8(2):161-72. doi: 10.1109/titb.2004.826717.
The Sheffield Intelligent Ventilator Advisor is a hybrid knowledge-and-model-based advisory system designed for intensive care ventilator management. It consists of a top-level fuzzy rule-based module to give the qualitative component of the advice, and a lower-level model-based module to give the quantitative component of the advice. It is structured to offer adaptive patient-specific decision support. It can be operated in either invasive or noninvasive modes depending on the availability of data from invasive clinical measurements. The user can choose between the full-advisory mode and the clinician-directed mode. The advice given by the top-level module has been validated against retrospective real patient data and compared with intensivists expertise and performance under simulation conditions. Closed-loop simulations were performed assuming various clinical scenarios including sudden changes in the patient parameters such as the shunt or deadspace with noise and disturbances. They have shown that the advice given was appropriate and the blood gases resulting from the closed-loop decision support were acceptable. The system was also shown to be tolerant to noise and disturbances. It is implemented in MATLAB/SIMULINK and LabVIEW.
谢菲尔德智能通气顾问系统是一个基于知识和模型的混合咨询系统，专为重症监护通气管理而设计。它由一个顶层基于模糊规则的模块提供建议的定性部分，以及一个底层基于模型的模块提供建议的定量部分。其结构旨在提供针对特定患者的自适应决策支持。根据有创临床测量数据的可用性，它可以在有创或无创模式下运行。用户可以在全咨询模式和临床医生指导模式之间进行选择。顶层模块给出的建议已根据回顾性真实患者数据进行了验证，并在模拟条件下与重症监护医生的专业知识和表现进行了比较。假设各种临床场景进行了闭环模拟，包括患者参数如分流或死腔的突然变化以及噪声和干扰。结果表明，给出的建议是合适的，闭环决策支持产生的血气结果是可接受的。该系统还被证明能够耐受噪声和干扰。它是在MATLAB/SIMULINK和LabVIEW中实现的。
