Department of Electrical Engineering, Center for Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan.
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
J Healthc Eng. 2017;2017:4728187. doi: 10.1155/2017/4728187. Epub 2017 Aug 20.
Overnight polysomnography (PSG) is currently the standard diagnostic procedure for obstructive sleep apnea (OSA). It has been known that monitoring of head position in sleep is crucial not only for the diagnosis (positional sleep apnea) but also for the management of OSA (positional therapy). However, there are no sensor systems available clinically to hook up with PSG for accurate head position monitoring. In this paper, an accelerometer-based sensing system for accurate head position monitoring is developed and realized. The core CORDIC- (COordinate Rotation DIgital Computer-) based tilting sensing algorithm is realized in the system to quickly and accurately convert accelerometer raw data into the desired head position tilting angles. The system can hook up with PSG devices for diagnosis to have head position information integrated with other PSG-monitored signals. It has been applied in an IRB test in Taipei Veterans General Hospital and has been proved that it can meet the medical needs of accurate head position monitoring for PSG diagnosis.
整夜多导睡眠图(PSG)目前是阻塞性睡眠呼吸暂停(OSA)的标准诊断程序。众所周知,监测睡眠中的头部位置不仅对诊断(位置性睡眠呼吸暂停)很重要,而且对 OSA 的治疗(位置治疗)也很重要。然而,目前临床上还没有可用的传感器系统与 PSG 连接以进行准确的头部位置监测。在本文中,开发并实现了一种基于加速度计的准确头部位置监测传感系统。系统中实现了基于核心 CORDIC(坐标旋转数字计算机)的倾斜感测算法,可快速准确地将加速度计原始数据转换为所需的头部位置倾斜角度。该系统可以与 PSG 设备连接进行诊断,将头部位置信息与其他 PSG 监测信号集成在一起。它已在台北荣民总医院的 IRB 测试中得到应用,并已证明它可以满足 PSG 诊断中准确头部位置监测的医疗需求。