在程控循环运动期间监测通气量的先进阻抗肺量测定法的实验验证。

Experimental validation of an advanced impedance pneumography for monitoring ventilation volume during programmed cycling exercise.

机构信息

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

Renji Hospital, Affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

出版信息

Physiol Meas. 2024 May 31;45(5). doi: 10.1088/1361-6579/ad4951.

Abstract

Impedance pneumography (IP) has provided static assessments of subjects' breathing patterns in previous studies. Evaluating the feasibility and limitation of ambulatory IP based respiratory monitoring needs further investigation on clinically relevant exercise designs. The aim of this study was to evaluate the capacity of an advanced IP in ambulatory respiratory monitoring, and its predictive value in independent ventilatory capacity quantification during cardiopulmonary exercise testing (CPET).35 volunteers were examined with the same calibration methodology and CPET exercise protocol comprising phases of rest, unloaded, incremental load, maximum load, recovery and further-recovery. In 3 or 4 deep breaths of calibration stage, thoracic impedance and criterion spirometric volume were simultaneously recorded to produce phase-specific prior calibration coefficients (CCs). The IP measurement during exercise protocol was converted by prior CCs to volume estimation curve and thus calculate minute ventilation (VE) independent from the spirometry approach.Across all measurements, the relative error of IP-derived VE (VE) and flowrate-derived VE (VE) was less than 13.8%. In Bland-Altman plots, the aggregate VE estimation bias was statistically insignificant for all 3 phases with pedaling exercise and the discrepancy between VEand VEfell within the 95% limits of agreement (95% LoA) for 34 or all subjects in each of all CPET phases.This work reinforces the independent use of IP as an accurate and robust alternative to flowmeter for applications in cycle ergometry CPET, which could significantly encourage the clinical use of IP and improve the convenience and comfort of CPET.

摘要

阻抗式肺量测定(IP)在以前的研究中提供了对受试者呼吸模式的静态评估。评估基于移动 IP 的呼吸监测的可行性和局限性需要对临床相关运动设计进行进一步研究。本研究的目的是评估先进的 IP 在移动呼吸监测中的能力,以及其在心肺运动测试(CPET)中独立通气能力量化中的预测价值。35 名志愿者接受了相同的校准方法和 CPET 运动方案检查,该方案包括休息、无负荷、递增负荷、最大负荷、恢复和进一步恢复阶段。在校准阶段的 3 或 4 次深呼吸中,同时记录胸部阻抗和标准肺活量,以产生特定阶段的先前校准系数(CC)。通过先前的 CC 将运动方案中的 IP 测量值转换为体积估计曲线,从而计算分钟通气量(VE),而不依赖于肺活量计方法。在所有测量中,IP 衍生 VE(VE)和流量衍生 VE(VE)的相对误差小于 13.8%。在 Bland-Altman 图中,所有踏车运动阶段的 IP 衍生 VE 总体估计偏差均无统计学意义,VE 和 VE 之间的差异在所有 CPET 阶段的所有受试者或 34 名受试者中的 95%一致性界限(95% LoA)内。这项工作强化了独立使用 IP 作为流量计的准确而稳健的替代方法在循环测力计 CPET 中的应用,这可能会极大地鼓励 IP 的临床应用,并提高 CPET 的便利性和舒适度。

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