Activity and Sleep Apnea Monitoring of Aged-Person using Image Processing.

Objective: As the rapid progress of aged society, there must be solutions of preparation against unpredicted accidents for aged solitary people. The most important thing that we must consider is the unconstraint of daily life. So, we are to develop a system and algorithm which meet our objectives. Methods: We have monitored the degree of activity of the aged solitary person. The CCD camera was used not to disturb the daily activity and we evaluated the degree of activity using image processing on personal computer. The activity monitoring during night was assumed by sleeping on the bed, so the major method was breath monitoring during sleeping. On the other hand, daily activity was monitored by wide viewing camera in the living room. To prevent the privacy trouble, the acquired image was converted to binary form and the degree of breath and moving factor was estimated. Results: In this paper we propose a new processing algorithm to accurately measure breathing characteristics in sleep apnea sufferers. We improved the conventional center-of-mass method and further applied the projection-profile method. As a result, we have improved breath measurement accuracy. In a comparison with conventional polysomnography, our method was 92% effective in detecting apnea cases. Conclusion: As a result of this study, we can monitor sleep apnea more simply and with no sleep interference. In measuring the activity of daily life, these improved algorithms were applied. So, we established a monitoring method of no-constrained, quantitative measurement for the aged solitary people during the whole day. (Journal of Korean Society of Medical Informatics 13-4, 393-401, 2007)