Detect and investigation of upperairways by using region on growing segmentation during sleep

This paper exhibits another procedure to detect and analysis of obstructive sleep apnea (OSA) in people. We identified class of the individual, such as normal class, abnormal-medium and abnormal high. The merits of the proposed approach is that it requires less mathematical calculation and does not require any manual adjustments and does not depend on the patient posture. The proposed of region growing segmentation technique is acquire great exactness. It is a quick technique to help for good outcome. Our contribution is to extract the different features of detected by people. Exploratory outcomes on genuine rest apnea information demonstrate the precision of the proposed display. We acquire stepwise outcome.