J Korean Soc Med Inform.  2004 Sep;10(3):253-260.

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

Affiliations
  • 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. kbread@amc.seoul.kr

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.

Keyword

Sleep Apnea; Polysomnography; ROI Optimize; Center-of-Mass; Projection Profile

MeSH Terms

Abdomen
Aged
Humans
Polysomnography
Respiration
Sleep Apnea Syndromes*
Sleep Wake Disorders
Thorax
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