School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, China.
Division of Ear, Nose and Throat Surgery, Akerhus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
J Biomech. 2023 May;152:111550. doi: 10.1016/j.jbiomech.2023.111550. Epub 2023 Mar 18.
Snoring is a common condition in the general population, and the management of snoring requires a better understanding of its mechanism through a fluid-structure interaction (FSI) perspective. Despite the recent popularity of numerical FSI techniques, outstanding challenges are accurately predicting airway deformation and its vibration during snoring due to complex airway morphology. In addition, there still needs to be more understanding of snoring inhibition when lying on the side, and the possible effect of airflow rates, as well as nose or mouth-nose breathing, on snoring remains to be investigated. In this study, an FSI method verified against in vitro models was introduced to predict upper airway deformation and vibration. The technique was applied to predict airway aerodynamics, soft palate flutter, and airway vibration in four sleep postures (supine, left/right lying, and sitting positions) and four breathing patterns (mouth-nose, nose, mouth, and unilateral nose breathing). It was found that, at given elastic properties of soft tissues, the evaluated flutter frequency of 19.8 Hz in inspiration was in good agreement with the reported frequency of snoring sound in literature. Reduction in flutter and vibrations due to the mouth-nose airflow proportion changes were also noticed when having side-lying and sitting positions. Breathing through the mouth results in larger airway deformation than breathing through the nose or mouth-nose. These results collectively demonstrate the potential of FSI for studying the physics of airway vibration and clarify to some degree the reason for snoring inhibition during sleep postures and breathing patterns.
打鼾是一种常见的人群现象,而要更好地了解其机制,需要从流固耦合(FSI)的角度来管理打鼾。尽管最近数值 FSI 技术很流行,但由于气道形态复杂,仍然存在一些挑战,例如如何准确预测打鼾过程中气道变形及其振动。此外,侧卧时抑制打鼾的机制以及气流率、鼻呼吸或口鼻呼吸对打鼾的可能影响,仍需要进一步研究。在这项研究中,引入了一种经体外模型验证的 FSI 方法来预测上气道变形和振动。该技术应用于预测气道空气动力学、软腭扑动和四种睡眠姿势(仰卧、左右侧卧和坐姿)以及四种呼吸模式(口鼻、鼻、口和单侧鼻呼吸)下的气道振动。结果表明,在给定软组织弹性特性的情况下,19.8Hz 的吸气扑动频率与文献中报道的打鼾声音频率吻合较好。在侧卧和坐姿时,由于口鼻气流比例的变化,扑动和振动会减少。与鼻呼吸或口鼻呼吸相比,口呼吸会导致更大的气道变形。这些结果共同证明了 FSI 方法在研究气道振动物理方面的潜力,并在一定程度上阐明了睡眠姿势和呼吸模式下打鼾抑制的原因。