利用参数推理对肺振荡测量技术进行校正和标准化:研究小组报告

Bindi S. Brook, Graeham R. Douglas, Oliver E. Jensen, Sonal Mistry, Sujit Kumar Nath, Matthew J. Russell, Sina Saffaran, James Shemilt, Liam Weaver, Carl A. Whitfield
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引用次数: 0

摘要

本报告涉及一个研究小组,该小组由英国工程与科学研究中心(EPSRC)资助的网络 "将数据驱动的生物物理模型融入呼吸医学(BIOREME)"主办,并得到了英西尼奥研究所(Insigneo Institute)和知识转移网络(Knowledge Transfer Network)的支持。BIOREME 网络举办包括本研究小组在内的各种活动,将多学科研究人员、临床医生、公司和慈善机构聚集在一起,促进呼吸医学数学建模应用方面的研究。该研究小组的目标是在公司、临床医生和数学家之间提供一个接口,以开发数学工具来解决所提出的问题。研究小组于 2023 年 4 月 17-20 日在谢菲尔德大学举行,来自 13 个不同机构的 24 名研究人员参加了会议。本报告涉及 Arete 医疗技术公司提出的与脉冲振荡测量(IOS)有关的挑战,即在正常呼吸过程中,通常通过扬声器在人的口腔处施加一个短时压力振荡,由此产生的压力和流速变化可用于测量气道阻抗,进而提供小气道(病理)生理变化的替代测量值。分解信号以便准确测量气道力学(并考虑设备特性/环境影响)仍然是一个有待解决的难题,它有可能极大地改进设备并将其应用于临床。本报告探讨了解决这一问题的几种方法,以及解释示波测量结果这一更广泛的问题。
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Correction and standardisation of lung oscillometry techniques using parameter inference: A study group report
This report relates to a study group hosted by the EPSRC funded network, Integrating data-driven BIOphysical models into REspiratory MEdicine (BIOREME), and supported by The Insigneo Institute and The Knowledge Transfer Network. The BIOREME network hosts events, including this study group, to bring together multi-disciplinary researchers, clinicians, companies and charities to catalyse research in the applications of mathematical modelling for respiratory medicine. The goal of this study group was to provide an interface between companies, clinicians, and mathematicians to develop mathematical tools to the problems presented. The study group was held at The University of Sheffield on the 17 - 20 April 2023 and was attended by 24 researchers from 13 different institutions. This report relates to a challenge presented by Arete Medical Technologies relating to impulse oscillometry (IOS), whereby a short pressure oscillation is imposed at a person's mouth during normal breathing, usually by a loudspeaker. The resulting pressure and flow rate changes can be used to the impedance of the airways, which in turn can provide proxy measurements for (patho)physiological changes in the small airways. Disentangling the signal so that airway mechanics can be measured accurately (and device properties/environmental effects can be accounted for) remains an open challenge that has the potential to significantly improve the device and its translation to clinic. In this report, several approaches to this problem, and the wider problem of interpreting oscillometry resuts are explored.
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