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Healthc Inform Res > Volume 10(3); 2004 > Article
Journal of Korean Society of Medical Informatics 2004;10(3):253-260.
DOI: https://doi.org/10.4258/jksmi.2004.10.3.253    Published online September 30, 2004.
A Study on the ROI Optimizing Technique for Accurate Breath Measurements in Sleep Apnea
Dong Ik Shin, Gil Hyun Shin, In Kwon Kim, Kyoung Soo Lim, Soo Jin Huh
1Department of Biomedical Engineering, Asan Medical Center, Korea.
2Department of Medical Science, Graduate School, University of Ulsan, Korea.
3Department of Emergency Medicine, University of Ulsan College of Medicine, Korea.
4Department of Biomedical Engineering, University of Ulsan College of Medicine, Korea.
Abstract

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.

METHODS: We improved the conventional center-of-mass method and further apply the projection profile method.

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%.

CONCLUSION: We can simply monitor the sleep apnea with no sleep interferences.

Key Words: Sleep Apnea, Polysomnography, ROI Optimize, Center-of-Mass, Projection Profile
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