Identifying Linear and Nonlinear Mechanical Properties of Physiological Systems at Low Frequencies

识别低频生理系统的线性和非线性机械特性

• 批准号: 9309426
• 负责人: Kenneth Lutchen
• 金额: $ 27.03万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-01 至 1999-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309426&HistoricalAwards=false
• 关键词: Identifying; Linear; Nonlinear; Mechanical; Properties

9309426 Lutchen The goal of this study is to develop a unified approach for applying linear and nonlinear systems identification techniques to study physiological systems at low frequencies. Nonlinear procedures, including kernel and block structure identification techniques, will be used. The investigators will also develop statistical and sensitivity analyses procedures to determine the reliability of the approaches. The proposed study is an extension of the previously supported research that found limitations in use of standard ventilator waveforms for studying the respiratory system. This research is important in order to advance the understanding of nonlinear systems that operate at low frequencies; namely, the respiratory and the cardiovascular systems. The research could potentially lead to the development of noninvasive methods to evaluate the mechanics of respiration of ventilator dependent patients. ***

9309426 Lutchen 这项研究的目标是开发一种统一的方法，应用线性和非线性系统识别技术来研究低频生理系统。 将使用非线性程序，包括内核和块结构识别技术。 研究人员还将开发统计和敏感性分析程序，以确定这些方法的可靠性。 这项拟议的研究是先前支持的研究的延伸，该研究发现使用标准呼吸机波形来研究呼吸系统存在局限性。 这项研究对于增进对低频运行的非线性系统的理解非常重要。即呼吸系统和心血管系统。 该研究可能会导致开发无创方法来评估呼吸机依赖患者的呼吸机制。 ***