Detection of Body Movement and Estimation of Breathing During Sleep Based on 3D Coordinates

Abstract

Sleep apnea syndrome (SAS) is a disease that causes apnea during sleep, and since it correlates with lifestylerelated diseases, early detection and early treatment are important. Polysomnography (PSG) is generally used for the definitive diagnosis of SAS, however, since various devices are attached to the patient, the effect of observer effect is inevitable. In addition, since the disease occurs during sleep, it is difficult to be aware of it, and as a result, it is estimated that 15% of potential patients do not undergo PSG. This paper proposes a simple, noncontact and non-constraint respiration estimation method using Depth data, which is distance information obtained by a Depth camera and recorded in a two-dimensional plane. Frequency analysis of the Depth values is used to detect the subject's position, breathing frequency, and body motion, and it is confirmed that the method can estimate respiration while continuously tracking the subject, even if the sleeping posture changes.