Suppr超能文献

使用 EIT 进行非侵入性、同步和连续的每搏量和潮气量测量:动物实验的可行性研究。

Noninvasive, simultaneous, and continuous measurements of stroke volume and tidal volume using EIT: feasibility study of animal experiments.

机构信息

Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, Korea.

Department of Medical Engineering, Graduate School, Kyung Hee University, Seoul, 02447, Korea.

出版信息

Sci Rep. 2020 Jul 9;10(1):11242. doi: 10.1038/s41598-020-68139-3.

Abstract

Currently, there is no noninvasive method available for simultaneous measurements of tidal volume and stroke volume. Electrical impedance tomography (EIT) has been used for regional lung ventilation imaging. Cardiac EIT imaging, however, has not been successful due to the technical difficulty in extracting weak cardiogenic components. Instead of regional imaging, in this paper, we use the EIT technique to simultaneously measure two global variables of tidal volume and stroke volume. Time-varying patterns of boundary voltage data originating from lung ventilation and cardiac blood flow were extracted from measured boundary voltage data using the principal component analysis (PCA) and independent component analysis (ICA). The source consistency theory was adopted to separately synthesize time-series of boundary voltage data associated with lung ventilation and cardiac blood flow. The respiratory volume signal (RVS) and cardiac volume signal (CVS) were extracted from reconstructed time-difference EIT images of lung ventilation and cardiac blood flow, respectively. After calibrating the volume signals using the mechanical ventilator and the invasive transpulmonary thermodilution (TPTD) method, tidal volume and stroke volume were computed as valley-to-peak values of the RVS and CVS, respectively. The difference in the tidal volume data between EIT and mechanical ventilator was within ± 20 ml from six pigs. The difference in the stroke volume data between EIT and TPTD was within ± 4.7 ml from the same animals. The results show the feasibility of the proposed method as a new noninvasive cardiopulmonary monitoring tool for simultaneous continuous measurements of stroke volume and tidal volume that are two most important vital signs.

摘要

目前,尚无同时测量潮气量和每搏量的非侵入性方法。电阻抗断层成像(EIT)已用于区域性肺通气成像。然而,由于从心脏产生的微弱电生理信号中提取心源性成分的技术困难,心脏 EIT 成像尚未成功。在本文中,我们没有使用 EIT 技术进行区域性成像,而是同时测量潮气量和每搏量这两个全局变量。从测量的边界电压数据中使用主成分分析(PCA)和独立成分分析(ICA)提取源于肺通气和心脏血流的边界电压数据的时变模式。采用源一致性理论分别合成与肺通气和心脏血流相关的边界电压数据的时间序列。从重建的肺通气和心脏血流的时差分 EIT 图像中分别提取呼吸量信号(RVS)和心排量信号(CVS)。使用机械呼吸机和经肺热稀释(TPTD)法对体积信号进行校准后,将 RVS 和 CVS 的峰谷值分别计算为潮气量和每搏量。来自 6 头猪的数据显示,EIT 和机械呼吸机的潮气量数据之间的差异在±20ml 以内。来自同一动物的 EIT 和 TPTD 的每搏量数据之间的差异在±4.7ml 以内。结果表明,该方法具有可行性,可作为一种新的非侵入性心肺监测工具,用于连续测量潮气量和每搏量这两个最重要的生命体征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9561/7347894/88c325f3087a/41598_2020_68139_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验