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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationFuture Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
EditorsKang-Ping Lin, Ratko Magjarevic, Paulo de Carvalho
PublisherSpringer
Pages100-107
Number of pages8
ISBN (Print)9783030306359
DOIs
Publication statusPublished - 2020
Event4th International Conference on Biomedical and Health Informatics, ICBHI 2019 - Taipei, Taiwan
Duration: 2019 Apr 172019 Apr 20

Publication series

NameIFMBE Proceedings
Volume74
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference4th International Conference on Biomedical and Health Informatics, ICBHI 2019
CountryTaiwan
CityTaipei
Period19-04-1719-04-20

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

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