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 |
| 頁面 | 100-107 |
| 頁數 | 8 |
| ISBN（列印） | 9783030306359 |
| DOIs | |
| 出版狀態 | Published - 2020 一月 1 |
| 事件 | 4th International Conference on Biomedical and Health Informatics, ICBHI 2019 - Taipei, Taiwan 持續時間: 2019 四月 17 → 2019 四月 20 |
出版系列
| 名字 | IFMBE Proceedings |
|---|---|
| 卷 | 74 |
| ISSN（列印） | 1680-0737 |
| ISSN（電子） | 1433-9277 |
Conference
| Conference | 4th International Conference on Biomedical and Health Informatics, ICBHI 2019 |
|---|---|
| 國家 | Taiwan |
| 城市 | Taipei |
| 期間 | 19-04-17 → 19-04-20 |
指紋
All Science Journal Classification (ASJC) codes
- Bioengineering
- Biomedical Engineering
引用此文
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Ultrasonography Classification of Obstructive Sleep Apnea (OSA) Through Dynamic Tongue Base Motion Tracking and Tongue Area Measurements. / Manlises, Cyrel Ontimare; Chen, Jeng Wen; Huang, Chih Chung.
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. Springer, 2020. p. 100-107 (IFMBE Proceedings; 卷 74).研究成果: Conference contribution
TY - GEN
T1 - Ultrasonography Classification of Obstructive Sleep Apnea (OSA) Through Dynamic Tongue Base Motion Tracking and Tongue Area Measurements
AU - Manlises, Cyrel Ontimare
AU - Chen, Jeng Wen
AU - Huang, Chih Chung
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85075810078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075810078&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30636-6_14
DO - 10.1007/978-3-030-30636-6_14
M3 - Conference contribution
AN - SCOPUS:85075810078
SN - 9783030306359
T3 - IFMBE Proceedings
SP - 100
EP - 107
BT - Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019
A2 - Lin, Kang-Ping
A2 - Magjarevic, Ratko
A2 - de Carvalho, Paulo
PB - Springer
ER -