The synchrony of patient-ventilator interaction affects the process of mechanical ventilation which is clinically applied for respiratory support. The occurrence of patient-ventilator asynchrony (PVA) not only increases the risk of ventilator complications but also affects the comfort of patients. To solve the problem of uncertain patient-ventilator interaction in the mechanical ventilation system, a novel method to evaluate patient-ventilator synchrony is proposed in this article. Firstly, a pneumatic model is established to simulate the mechanical ventilation system, which is verified to be accurate by the experiments. Then, the PVA phenomena are classified and detected based on the analysis of the ventilator waveforms. On this basis, a novel synchrony index is established to evaluate the patient-ventilator synchrony. It not only solves the defects of previous evaluation indexes but also can be used as the response parameter in the future research of ventilator control algorithms. The accurate evaluation of patient-ventilator synchrony can be applied to the adjustment of clinical strategies and the pathological analyses of patients. This research can also reduce the burden on clinicians and help to realize the adaptive control of the mechanical ventilation and weaning process in the future.

中文翻译：

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机械通气期间评估患者-呼吸机同步性的新方法

患者－呼吸机相互作用的同步性会影响机械通气的过程，该过程在临床上已用于呼吸支持。呼吸机不同步（PVA）的发生不仅增加了呼吸机并发症的风险，而且还影响了患者的舒适度。为解决机械通气系统中患者与呼吸机相互作用不确定的问题，提出了一种评价患者与呼吸机同步性的新方法。首先，建立了一个模拟机械通风系统的气动模型，并通过实验验证了该模型的准确性。然后，基于呼吸机波形的分析对PVA现象进行分类和检测。在此基础上，提出了一种新颖的同步指数建立以评估患者-呼吸机同步性。它不仅解决了以往评价指标的缺陷，而且可以作为呼吸机控制算法未来研究的响应参数。对呼吸机同步性的准确评估可用于调整临床策略和对患者进行病理分析。这项研究还可以减轻临床医生的负担，并有助于将来实现对机械通气和断奶过程的自适应控制。