Kagawa Masayuki, Ueki Katsuhiko, Kurita Akira, Tojima Hirokazu, Matsui Takemi
Faculty of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan.
Stud Health Technol Inform. 2013;192:263-7.
There are two key problems in applying Doppler radar to a diagnosis system for sleep apnea-hypopnea syndrome. The first is noise associated with body movement and the second is the body position in 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. There are three types of sleep apnea: central sleep apnea, obstructive sleep apnea and mixed sleep apnea. In this paper we paid attention to the obstructive sleep apnea and attempted to detect the disorder of corrugated shape compared with usual breathing or the paradoxical movement of the reversed phase with chest and abdominal radar signals. A prototype of the system was set up at a sleep disorder center in a hospital 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-hypopnea syndrome (r=0.98).
将多普勒雷达应用于睡眠呼吸暂停低通气综合征诊断系统存在两个关键问题。第一个是与身体运动相关的噪声,第二个是身体在床上的位置以及睡眠姿势的变化。我们提出了一种基于频谱形状分析的新型自动增益控制和实时雷达输出通道选择方法。睡眠呼吸暂停有三种类型:中枢性睡眠呼吸暂停、阻塞性睡眠呼吸暂停和混合性睡眠呼吸暂停。在本文中,我们关注阻塞性睡眠呼吸暂停,并试图通过与正常呼吸时的波形形状紊乱或胸部和腹部雷达信号反相的矛盾运动进行比较来检测该病症。该系统的一个原型在一家医院的睡眠障碍中心搭建完成,并对八名受试者进行了现场测试。尽管受试者在睡眠时频繁进行身体运动,但该系统在睡眠呼吸暂停低通气综合征的诊断中相当有效(r = 0.98)。