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首页> 外文会议>International Conference on Biomedical and Health Informatics >Ultrasonography Classification of Obstructive Sleep Apnea (OSA) Through Dynamic Tongue Base Motion Tracking and Tongue Area Measurements
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Ultrasonography Classification of Obstructive Sleep Apnea (OSA) Through Dynamic Tongue Base Motion Tracking and Tongue Area Measurements

机译：通过动态舌基运动跟踪和舌区测量来超声检查阻塞性睡眠呼吸暂停（OSA）的分类

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Obstructive sleep apnea (OSA) is a chronic breathing disorder that most of the time people are oblivious of the symptoms which may delay the diagnosis and may lead to long-term health consequences such as cardiovascular and cerebrovascular diseases. Ultrasonography is currently used to discern the real behavior of the upper airway (UA) in patients with OSA. However, previous methods were not enough to reveal the possible pathophysiology and biomechanics of the human UA. The aim of this study is to use the modified optical flow (OF)-based method in tracking the dynamic tongue base motion, utilizing nine tracking points, to effectively classify which group each subject belongs to. The classification groups are normal, mild, moderate, and severe OSA. A total of 82 participants were enrolled in this study. All of them had their B-mode ultrasound image sequences obtained for 10 s. The first 5 s was recorded during eupneic breathing, and the latter part was during the performance of the Muller Maneuver (MM), a simulation of the collapse of the UA while inducing negative pressure. The results demonstrate that the four classifications are significantly different (p < 0.05). The normal group has the largest displacement, while the severe OSA group has the smallest. The normal group has the smallest tongue base area (TBA), while the severe OSA group has the largest. Both instances were also observed during the MM. Tongue area measurement during the eupneic breathing for the four groups are 18.63 ± 2.595, 20.25 ± 2.366, 20.34 ± 3.207, and 21.75 ± 2.764, respectively. During the MM, the measurements were 18.54 ± 2.701, 20.16 ± 2.428, 20.32 ± 3.190, and 21.78 ± 2.820, respectively. Noninvasive sonographic evaluation using dynamic tongue motion tracking and tongue area measurements provides quantitative assessments that can be used by the clinician to indicate individualized treatment plan for each OSA patients.
机译：阻塞性睡眠呼吸暂停（OSA）是一种慢性呼吸紊乱，大部分时间人们都不感到可能延迟诊断的症状，并且可能导致长期健康后果如心血管和脑血管疾病。超声检查目前用于辨别OSA患者上呼吸道（UA）的真正行为。然而，以前的方法不足以揭示人类UA的可能病理生理学和生物力学。本研究的目的是使用用于跟踪动态舌基的改进的光学流量（基于）的方法，利用九个跟踪点，从而有效地分类每个受试者所属的组。分类组是正常的，轻度，中等和严重的OSA。本研究共有82名参与者。所有这些都有其B模式超声图像序列10秒。在Eupneic呼吸期间记录了前5秒，后者部分是在Muller机动（MM）的性能期间，在诱导负压时仿真UA的塌陷。结果表明，四种分类显着差异（P <0.05）。正常组具有最大的位移，而严重的OSA组具有最小的。正常组具有最小的舌底面积（TBA），而严重的OSA组具有最大的。在MM期间也观察到这两个实例。四组欧猫呼吸期间的舌头测量分别为18.63±2.595,20.25±2.366,20.34±3.207和21.75±2.764。在MM期间，测量分别为18.54±2.701,20.16±2.428,20.32±3.190和21.78±2.820。使用动态舌动跟踪和舌区域测量的非侵入性超声评估提供了可以由临床医生使用的定量评估，以表明每个OSA患者的个性化治疗计划。

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