Adami Adriana M, Hayes Tamara L, Pavel Misha, Adami Andre G
Oregon Health and Science University Portland, OR 97239 USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:1314-7. doi: 10.1109/IEMBS.2009.5332577.
Accurate assessment of mobility in bed presents challenges to clinicians and researchers alike. Mobility is traditionally assessed by either overnight polysomnograph recording or wrist actigraphy. This paper describes an alternative system for unobtrusive and continuous monitoring of sleep movements that uses load sensors installed at the corners of a bed. This work is focused on the detection and classification of clinically relevant types of movement based on the forces sensed by load cells. The accuracy of the system for detecting movement has been evaluated using data collected in a laboratory setting. We also present a comparison of the proposed system with wrist-actigraphy.
准确评估床上活动能力对临床医生和研究人员来说都是一项挑战。传统上，活动能力是通过夜间多导睡眠图记录或手腕活动记录仪来评估的。本文描述了一种用于对睡眠动作进行非侵入式连续监测的替代系统，该系统使用安装在床角的负载传感器。这项工作专注于基于称重传感器感知的力来检测和分类具有临床相关性的运动类型。已使用在实验室环境中收集的数据评估了该系统检测运动的准确性。我们还将所提出的系统与手腕活动记录仪进行了比较。
