Low-frequency respiratory oscillometric measurements during mechanical ventilation

Andy Keymolen, Antoine Marchal, F. Heck, B. V. D. Elshout, G. Vandersteen, J. Jonckheer, J. Lataire
{"title":"Low-frequency respiratory oscillometric measurements during mechanical ventilation","authors":"Andy Keymolen, Antoine Marchal, F. Heck, B. V. D. Elshout, G. Vandersteen, J. Jonckheer, J. Lataire","doi":"10.1109/MeMeA57477.2023.10171930","DOIUrl":null,"url":null,"abstract":"Respiratory oscillometry (RO), applied during ventilation of patients, allows the identification of relevant mechanical properties of the respiratory system. RO during ventilation is not a standard-of-care measurement technique since the identified parameters are currently not equivalent to the parameters identified via standard-of-care techniques such as the low flow PN loop. This paper presents a novel RO setup that identifies the same respiratory mechanical parameters as the standard-of-care techniques. The setup is a blower-based ventilation device where the requested ventilation is combined with a specifically designed low-frequency multisine excitation signal. The excitation design protocol takes the ventilation limitations into account to ensure the measurement quality. Validation measurements on an emulator are provided to evaluate the performance of the proposed techniques. The emulator is measured via the novel RO setup as well as via three standard-of-care measurement techniques. The measurements showed that the same parameters could be identified with a better accuracy than the common oscillometric standard of 10%. The estimated values and their coefficient of variation were compared against each other and showed that the RO setup is a qualitative alternative to the standard-of-care techniques with the clinical advantages of being patient friendlier, easier to use and less disturbed by patient activity.","PeriodicalId":191927,"journal":{"name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MeMeA57477.2023.10171930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Respiratory oscillometry (RO), applied during ventilation of patients, allows the identification of relevant mechanical properties of the respiratory system. RO during ventilation is not a standard-of-care measurement technique since the identified parameters are currently not equivalent to the parameters identified via standard-of-care techniques such as the low flow PN loop. This paper presents a novel RO setup that identifies the same respiratory mechanical parameters as the standard-of-care techniques. The setup is a blower-based ventilation device where the requested ventilation is combined with a specifically designed low-frequency multisine excitation signal. The excitation design protocol takes the ventilation limitations into account to ensure the measurement quality. Validation measurements on an emulator are provided to evaluate the performance of the proposed techniques. The emulator is measured via the novel RO setup as well as via three standard-of-care measurement techniques. The measurements showed that the same parameters could be identified with a better accuracy than the common oscillometric standard of 10%. The estimated values and their coefficient of variation were compared against each other and showed that the RO setup is a qualitative alternative to the standard-of-care techniques with the clinical advantages of being patient friendlier, easier to use and less disturbed by patient activity.
机械通气期间的低频呼吸振荡测量
呼吸振荡测量法(RO)应用于患者通气期间,可以识别呼吸系统的相关机械特性。通风期间的RO不是一种标准的测量技术,因为所识别的参数目前与通过低流量PN回路等标准技术识别的参数不相等。本文提出了一种新的RO设置,可识别与标准护理技术相同的呼吸机械参数。该装置是一个基于鼓风机的通风装置,其中所要求的通风与专门设计的低频多正弦激励信号相结合。激励设计方案考虑了通风限制,以保证测量质量。在仿真器上进行了验证测量,以评估所提出技术的性能。仿真器是通过新的RO设置以及通过三种标准的测量技术进行测量的。测量结果表明,该方法对相同参数的识别精度高于普通振荡标准的10%。将估计值及其变异系数相互比较,表明RO设置是标准护理技术的定性替代方案,具有患者友好,易于使用和较少受患者活动干扰的临床优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信