@inproceedings{62d96c7e1ee1481e90d395dd7d4b721a,
title = "Design of a Lung Simulator for Ventilator Trigger Testing Using Sliding Mode Control Based on Extended State Observer",
abstract = "Mechanical ventilation serves as a vital life-supporting intervention for patients with severe respiratory impairment. Artificial lung simulators represent a crucial technological platform for advancing mechanical ventilation development. This study presents an advanced artificial lung simulator featuring continuously adjustable respiratory mechanics parameters and more importantly - the unique ability to accurately simulate inspiratory triggering during pressure support ventilation, addressing a critical deficiency in existing systems where this core functionality is either absent or inadequately implemented. The developed system incorporates a stepper motor-based driving mechanism with sliding mode control for precise lung compliance regulation. It successfully replicates passive breathing under conscious conditions while achieving two key advancements: faithful reproduction of pressure support ventilation triggering scenarios and continuously adjustable compliance with measurement accuracy maintained within ± 5\% of target values. These innovations provide researchers and clinicians with unprecedented testing capabilities for ventilator performance evaluation and respiratory research.",
author = "Rongheng Zhao and Shuai Ren and Tao Wang",
note = "Publisher Copyright: {\textcopyright} 2025 Technical Committee on Control Theory, Chinese Association of Automation.; 44th Chinese Control Conference, CCC 2025 ; Conference date: 28-07-2025 Through 30-07-2025",
year = "2025",
doi = "10.23919/CCC64809.2025.11179582",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3332--3337",
editor = "Jian Sun and Hongpeng Yin",
booktitle = "Proceedings of the 44th Chinese Control Conference, CCC 2025",
address = "United States",
}