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sleep disorder is a medical disorder of sleep patterns of a person. Polysomnography is usually used to determine sleep disorder but it is a partly invasive and interfering method. Thus anyone having this test may face difficulty in having sleep during the procedure and may result in inappropriate diagnosis. In case of abnormal motion related sleep disorder, a video-polysomnography method can be used where the whole night sleep is recorded and analyzed later. But a whole night sleep video is 6-8 hours long and thus very difficult to examine such a lengthy video. In this paper it is proposed that if we create a shortened motion video out of the whole night sleep video, containing only the movement related portions, then a sleep analyst can diagnose for sleep disorder by analyzing that video in a short time and order further extensive test. For primary detection of sleep disorder it can be a low cost, simply implemented and noninvasive method of video-polysomnography.

An Algorithm for Video-Polysomnography Method to Create Shortened Motion Video from Whole Night Sleep Video