NON-CONTACT DIAGNOSTIC SYSTEM FOR SLEEP APNEA SYNDROME USING TWO MICROWAVE RADARS
There were two key problems in applying Doppler radar to a diagnosis system for sleep apnea syndrome. The first is noise associated with body movement and the second is the body position in the bed and the change of the sleeping posture. We propose a new automatic gain control and a real-time radar-output channel selection method which is based on a spectrum shape analysis. A prototype of the system was set up at a nursing home and field tests were carried out with eight subjects. Despite the subjects engaging in frequent body movements while sleeping, the system was quite effective in the diagnosis of sleep apnea syndrome (r=0.87).
Sleep apnea syndrome Doppler radar vital signs non-contact measurement. random body movement
Masayuki Kagawa Masayuki Kubota Katsuhiko Ueki Akira Kurita Takemi Matsui
Faculty of System Design, Tokyo Metropolitan University 6-6, Asahigaoka, Hino, Tokyo 191-0065, JAPAN
国际会议
The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))
北京
英文
1-4
2012-10-24(万方平台首次上网日期,不代表论文的发表时间)