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A New Methodology for Studying Dynamics of Aerosol Particles in Sneeze and Cough Using a Digital High-Vision High-Speed Video System and Vector Analyses

机译:利用数字高清高速视频系统和矢量分析研究打喷嚏和咳嗽中气溶胶颗粒动力学的新方法

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摘要

Microbial pathogens of respiratory infectious diseases are often transmitted through particles in sneeze and cough. Therefore, understanding the particle movement is important for infection control. Images of a sneeze induced by nasal cavity stimulation by healthy adult volunteers, were taken by a digital high-vision, high-speed video system equipped with a computer system and treated as a research model. The obtained images were enhanced electronically, converted to digital images every 1/300 s, and subjected to vector analysis of the bioparticles contained in the whole sneeze cloud using automatic image processing software. The initial velocity of the particles or their clusters in the sneeze was greater than 6 m/s, but decreased as the particles moved forward; the momentums of the particles seemed to be lost by 0.15–0.20 s and started a diffusion movement. An approximate equation of a function of elapsed time for their velocity was obtained from the vector analysis to represent the dynamics of the front-line particles. This methodology was also applied for a cough. Microclouds contained in a smoke exhaled with a voluntary cough by a volunteer after smoking one breath of cigarette, were traced as the visible, aerodynamic surrogates for invisible bioparticles of cough. The smoke cough microclouds had an initial velocity greater than 5 m/s. The fastest microclouds were located at the forefront of cloud mass that moving forward; however, their velocity clearly decreased after 0.05 s and they began to diffuse in the environmental airflow. The maximum direct reaches of the particles and microclouds driven by sneezing and coughing unaffected by environmental airflows were estimated by calculations using the obtained equations to be about 84 cm and 30 cm from the mouth, respectively, both achieved in about 0.2 s, suggesting that data relating to the dynamics of sneeze and cough became available by calculation.
机译:呼吸道传染病的微生物病原体通常通过喷嚏和咳嗽中的颗粒传播。因此,了解粒子运动对于控制感染很重要。由健康的成年人自愿者鼻腔刺激引起的打喷嚏的图像由装有计算机系统的数字高清,高速视频系统拍摄,并作为研究模型。对获得的图像进行电子增强,每1/300 s转换为数字图像,并使用自动图像处理软件对整个喷嚏云中所含生物颗粒进行矢量分析。喷嚏中的粒子或其簇的初始速度大于6 m / s,但随着粒子向前移动而降低。粒子的动量似乎损失了0.15–0.20 s,并开始了扩散运动。从矢量分析获得了经过时间对其速度的函数的近似方程,以表示一线粒子的动力学。这种方法也适用于咳嗽。吸烟一口烟后,志愿者自愿咳嗽后呼出的烟雾中的微云被追踪为可见的空气动力学替代物,用于显示看不见的咳嗽生物颗粒。烟咳微云的初始速度大于5 m / s。最快的微云位于向前发展的云量的最前沿;但是,它们的速度在0.05 s后明显下降,并且开始在环境气流中扩散。通过打喷嚏和咳嗽而不受环境气流影响的颗粒和微云的最大直接作用范围是通过使用所获得的方程进行的计算得出的,分别距嘴约84 cm和30 cm,两者均在约0.2 s内实现,表明数据通过计算可获得与打喷嚏和咳嗽动力学有关的信息。

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