Frerichs I, Hahn G, Schiffmann H, Berger C, Hellige G
Department of Anesthesiological Research, University of Göttingen, Germany.
Ann N Y Acad Sci. 1999 Apr 20;873:493-505. doi: 10.1111/j.1749-6632.1999.tb09498.x.
A new approach in discriminating the regional air volume changes in the lungs associated with either spontaneous or mechanical ventilation during assisted ventilation is presented. Impedance data are obtained by conventional electrical impedance tomography (EIT). The data are filtered in the range of either the spontaneous or the ventilator rate and processed by the functional EIT (f-EIT) evaluation technique, whereby the variation of the respective EIT data with time is determined and imaged. EIT measurements performed in an infant during synchronized intermittent mandatory ventilation were evaluated with this method and indicated that the specific local lung volume swings related to spontaneous and mechanical inhalations can be separated and imaged as tomograms. This noninvasive approach may become useful in optimizing the ventilatory pattern during advanced forms of artificial ventilation and may help the clinician in the therapy management of individual patients.
本文提出了一种新方法，用于区分辅助通气期间与自主呼吸或机械通气相关的肺部区域气量变化。通过传统的电阻抗断层扫描（EIT）获取阻抗数据。这些数据在自主呼吸频率或呼吸机频率范围内进行滤波，并通过功能性EIT（f-EIT）评估技术进行处理，从而确定并成像各个EIT数据随时间的变化。用这种方法对一名婴儿在同步间歇强制通气期间进行的EIT测量进行了评估，结果表明，与自主呼吸和机械吸气相关的特定局部肺容积波动可以分离并成像为断层图像。这种非侵入性方法可能有助于优化高级人工通气形式下的通气模式，并可能有助于临床医生对个体患者进行治疗管理。
