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基于五肺叶阻抗传感信息的区域性肺部通气评估方法和系统。

Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes.

机构信息

State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.

出版信息

Sensors (Basel). 2024 May 17;24(10):3202. doi: 10.3390/s24103202.

DOI:10.3390/s24103202
PMID:38794056
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11124947/
Abstract

Regional lung ventilation assessment is a critical tool for the early detection of lung diseases and postoperative evaluation. Biosensor-based impedance measurements, known for their non-invasive nature, among other benefits, have garnered significant attention compared to traditional detection methods that utilize pressure sensors. However, solely utilizing overall thoracic impedance fails to accurately capture changes in regional lung air volume. This study introduces an assessment method for lung ventilation that utilizes impedance data from the five lobes, develops a nonlinear model correlating regional impedance with lung air volume, and formulates an approach to identify regional ventilation obstructions based on impedance variations in affected areas. The electrode configuration for the five lung lobes was established through numerical simulations, revealing a power-function nonlinear relationship between regional impedance and air volume changes. An analysis of 389 pulmonary function tests refined the equations for calculating pulmonary function parameters, taking into account individual differences. Validation tests on 30 cases indicated maximum relative errors of 0.82% for FVC and 0.98% for FEV1, all within the 95% confidence intervals. The index for assessing regional ventilation impairment was corroborated by CT scans in 50 critical care cases, with 10 validation trials showing agreement with CT lesion localization results.

摘要

区域肺通气评估是早期发现肺部疾病和术后评估的关键工具。与传统的利用压力传感器的检测方法相比，基于生物传感器的阻抗测量具有非侵入性等优点，受到了极大的关注。然而，单纯利用整体胸部阻抗无法准确捕捉到区域肺气量的变化。本研究引入了一种利用五个肺叶的阻抗数据进行肺通气评估的方法，开发了一个将区域阻抗与肺气量相关联的非线性模型，并提出了一种基于受影响区域阻抗变化来识别区域通气阻塞的方法。通过数值模拟确定了五个肺叶的电极配置，揭示了区域阻抗与气量变化之间存在幂函数非线性关系。对 389 项肺功能测试的分析优化了计算肺功能参数的方程，考虑了个体差异。对 30 例的验证测试表明，FVC 的最大相对误差为 0.82%，FEV1 的最大相对误差为 0.98%，均在 95%置信区间内。在 50 例重症监护病例中，通过 CT 扫描验证了区域通气障碍评估指标，10 项验证试验与 CT 病变定位结果一致。

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