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

被引：0

作者：

Zhang, Yapeng ^{[1
]}

Song, Chengxin ^{[1
]}

He, Wei ^{[1
]}

Zhang, Qian ^{[1
]}

Zhao, Pengcheng ^{[1
]}

Wang, Jingang ^{[1
]}

机构：

[1] Chongqing Univ, Sch Elect Engn, State Key Lab Power Transmiss Equipment Technol, Chongqing 400044, Peoples R China

来源：

SENSORS | 2024年 / 24卷 / 10期

关键词：

regional ventilation information; biosensor; pulmonary function parameters; ventilation disorders; MODEL;

D O I：

10.3390/s24103202

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页数：28