Li Yongzhen, Wang Wei, Zhang Chunyuan, Zhang Xia, Chen Zhenglong, Hu Zhaoyan
School of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, P. R. China.
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Feb 25;42(1):164-173. doi: 10.7507/1001-5515.202408009.
Traditional manual testing of ventilator performance is labor-intensive, time-consuming, and prone to errors in data recording, making it difficult to meet the current demands for testing efficiency in the development and manufacturing of ventilators. Therefore, in this study we designed an automated testing system for essential performance parameters of ventilators. The system mainly comprises a ventilator airflow analyzer, an automated switch module for simulated lungs, and a test control platform. Under the control of testing software, this system can perform automated tests of critical performance parameters of ventilators and generate a final test report. To validate the effectiveness of the designed system, tests were conducted on two different brands of ventilators under four different operating conditions, comparing tidal volume, oxygen concentration, and positive end expiratory pressure accuracy using both the automated testing system and traditional manual methods. Bland-Altman statistical analysis indicated good consistency between the accuracy of automated tests and manual tests for all respiratory parameters. In terms of testing efficiency, the automated testing system required approximately one-third of the time needed for manual testing. These results demonstrate that the designed automated testing system provides a novel approach and means for quality inspection and measurement calibration of ventilators, showing broad application prospects.
传统的呼吸机性能手动测试劳动强度大、耗时且数据记录容易出错,难以满足当前呼吸机研发和制造中对测试效率的要求。因此,在本研究中,我们设计了一种用于呼吸机基本性能参数的自动化测试系统。该系统主要由呼吸机气流分析仪、模拟肺自动切换模块和测试控制平台组成。在测试软件的控制下,该系统可以对呼吸机的关键性能参数进行自动化测试并生成最终测试报告。为验证所设计系统的有效性,在四种不同工况下对两个不同品牌的呼吸机进行了测试,使用自动化测试系统和传统手动方法比较潮气量、氧浓度和呼气末正压的准确性。布兰德-奥特曼统计分析表明,所有呼吸参数的自动化测试和手动测试准确性之间具有良好的一致性。在测试效率方面,自动化测试系统所需时间约为手动测试的三分之一。这些结果表明,所设计的自动化测试系统为呼吸机的质量检验和测量校准提供了一种新的方法和手段,具有广阔的应用前景。