영상 처리를 이용한 수면 무호흡 감시에서의 ROI 최적화 기법에 관한 연구
A Study on the ROI Optimizing Technique for Accurate Breath Measurements in Sleep Apnea
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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.
참고문헌 (12)
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