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A Study on the ROI Optimizing Techniquefor Accurate Breath Measurements in Sleep Apnea  

Sin, Dong-Ik (서울아산병원 의공학과)
Sin, Gil-Hyeon (울산대학교 대학원 의과학과)
Kim, In-Gwon (울산대학교 대학원 의과학과)
Im, Gyeong-Su (울산대학교 의과대학 응급의학교실)
Heo, Su-Jin (울산대학교 의과대학 의공학교실)
Publication Information
Healthcare Informatics Research / v.10, no.3, 2004 , pp. 253-260 More about this Journal
Abstract
1) Objective A sleep apnea is the most frequent symptom among sleep disorders. As the number of aged people are increasing, research activities are also increasing to monitor sleeping disorders of the elderly who lives alone. We proposed a new processing algorithm to measure the quantity of breaths accurately. 2) Methods We improved the conventional center-of-mass method and further apply the projection profile method. 3) Results In this study a system that can monitors respiration non-invasively and automatically, by identifying the movement of the chest and abdomen using image processing technique during sleep, was implemented. We can see breathing status in real time based on the acquired breathing waves. To verify the designed system, the values from the polysomnography were compared and analyzed to validate the system accuracy. As a result, the mean accuracy is 96%. 4) Conclusion We can simply monitor the sleep apnea with no sleep interferences.
Keywords
Sleep Apnea, Polysomnography, ROI Optimize, Center-of-Mass, Projection Profile
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