Ultrasonography Classification of Obstructive Sleep Apnea (OSA) Through Dynamic Tongue Base Motion Tracking and Tongue Area Measurements

Cyrel Ontimare Manlises, Jeng Wen Chen, Chih Chung Huang

研究成果: Conference contribution

摘要

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 Müller 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.

原文English
主出版物標題Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
編輯Kang-Ping Lin, Ratko Magjarevic, Paulo de Carvalho
發行者Springer Science and Business Media Deutschland GmbH
頁面100-107
頁數8
ISBN(列印)9783030306359
DOIs
出版狀態Published - 2020
事件4th International Conference on Biomedical and Health Informatics, ICBHI 2019 - Taipei, Taiwan
持續時間: 2019 四月 172019 四月 20

出版系列

名字IFMBE Proceedings
74
ISSN(列印)1680-0737
ISSN(電子)1433-9277

Conference

Conference4th International Conference on Biomedical and Health Informatics, ICBHI 2019
國家/地區Taiwan
城市Taipei
期間19-04-1719-04-20

All Science Journal Classification (ASJC) codes

  • 生物工程
  • 生物醫學工程

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