气道异物淤积导致呼吸波形改变的临床模拟研究OACSTPCD
Clinical Simulation of Airway Obstruction Leading to Altered Respiratory Waveforms
目的 通过开展气道异物淤积导致呼吸波形改变的临床模拟研究,建立气道异物淤积量与呼吸波形改变程度之间的关系,验证气道实时可视化监测的可行性.方法 搭建一个气道异物淤积可控的呼吸过程模拟平台,采集气道不同阻塞面积下对应的呼吸波形.提取波形特征,计算变异系数、相关系数、均方根误差,并基于最小二乘法建立气道阻塞面积与呼吸波形特征之间的拟合关系曲线.结果 压控通气模式和容控通气模式下流速波形的上升峰值、上升梯度和下降峰值均与气道阻塞面积有强相关性,且其相关关系可用二次曲线来描述.结论 气道阻塞面积与呼吸波形特征之间关系的定量描述,验证了气道实时可视化监测的可行性,为人工气道管理提供一种新的思路.
Objective By carrying out clinical simulation on altered respiratory waveforms caused by airway obstruction,to establish the relationship between airway obstruction and the degree of altered respiratory waveforms,and verify the feasibility of real-time visual monitoring of airways.Methods A respiratory simulation platform with controllable airway obstruction was built to collect the corresponding respiratory waveforms under different airway obstruction.Waveform features were extracted,the coefficient of variation,correlation coefficient and rms error were calculated,and the fitting relationship curve between the airway obstruction and the respiratory waveform features was established based on the least square method.Results The rising peak,ascending gradient and falling peak of the flow rate waveform in pressure-controlled ventilation mode and volume-controlled ventilation mode were strongly correlated with the airway obstruction,and the correlation could be described by quadrics.Conclusion The quantitative description of the relationship between airway obstruction and respiratory waveform characteristics verifies the feasibility of real-time visual monitoring of airways,and provides a new idea for artificial airway management.
熊伟;毛彬;陈寒鉴;黄永全;王彬权;孙静;张倩;冯靖祎
浙江大学医学院附属第一医院 医学工程与物资部,浙江 杭州 310003浙江大学医学院附属第一医院麻醉科,浙江 杭州 310003浙江大学 生物医学工程与仪器科学学院,浙江 杭州 310027浙江大学医学院附属第一医院 医学工程与物资部,浙江 杭州 310003||浙江大学医学院附属第一医院 浙江省医疗器械临床评价技术研究重点实验室,浙江 杭州 310003
预防医学
气道阻塞呼吸波形临床模拟研究最小二乘法拟合曲线
airway obstructionrespiratory waveformsclinical simulationleast square methodfitted curve
《中国医疗设备》 2024 (003)
1-6,19 / 7
浙江省医药卫生科研面上项目资助(2021KY685);浙江省"尖兵""领雁"研发攻关计划(2022C03147);浙江省自然科学基金(LQ21H180009);浙江省自然科学基金(LQ20C100001).
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