Walsh Lorcan, Moloney Eddie, McLoone Seán
National University of Ireland, Maynooth, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1660-3. doi: 10.1109/IEMBS.2011.6090478.
This paper describes the calculation of statistical, spatial and spatiotemporal features from a novel non-contact technology for sleep monitoring, the Under Mattress Bed Sensor (UMBS). Data was collected from two relatively healthy adults with a possible sleep disorder in a clinical setting. Methods for the extraction of statistical data describing overall bed restlessness, a spatial description of movement (centre and spread of pressure) and a spatiotemporal description of each in-bed body movement over the entire sleeping episode are discussed using the pressure sensing grid. These provide a quantitative description of sleep and restlessness throughout the night.
本文描述了一种用于睡眠监测的新型非接触技术——床垫下床位传感器（UMBS）统计、空间和时空特征的计算方法。数据收集自临床环境中两名可能患有睡眠障碍的相对健康的成年人。利用压力传感网格讨论了提取描述整体床不安稳程度的统计数据、运动的空间描述（压力中心和分布）以及整个睡眠阶段每个床上身体运动的时空描述的方法。这些方法提供了对整夜睡眠和不安稳程度的定量描述。
