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김정식(Jeong-Sik Kim),전상진(Sang-Jin Jeon),조문성(Mun-Seong Jo),강효정(Hyo-Jeong Kang),김경욱(Kyung-Wuk Kim),최영호(Young Ho Choi),김형호(Hyoung-Ho Kim) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
Obstructive Sleep Apnea (OSA) is a prevalent sleep disorder characterized by repetitive episodes of upper airway collapse during sleep, resulting in reduced or completely obstructed airflow despite ongoing breathing efforts. Body Mass Index (BMI) is often considered one of the risk factors for OSA. A study was conducted using computational fluid dynamics to evaluate the correlation between Body Mass Index (BMI) groups and Obstructive Sleep Apnea (OSA) groups, and to identify factors that can be used for prediction. Through form factor analysis and dynamic factor analysis, we aim to obtain indicator that can help predict the correlation between OSA group, the normal group and the obese group. When examining the average BMI in the OSA group ,it was found to be 30±2 compared to Group4, while there was a difference of about 7 when compared to Group2. Furthermore, when comparing the Tortuosity and Q values in the OSA group with Group2 and Group4, significant differences were observed. Therefore, BMI, Q, and Tortuosity values could serve as significant indicators for detecting obstructive sleep apnea.