Heise David, Rosales Licet, Skubic Marjorie, Devaney Michael J
Department of Computer Science, Technology, and Mathematics, Lincoln University, Jefferson City, MO 65101, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4356-60. doi: 10.1109/IEMBS.2011.6091081.
Research indicates that long-term monitoring of vital signs and activity in elderly adults may provide opportunities for maintaining quality-of-life and extending independence into later years. Such a strategy requires development of a system to collect this data while imposing minimal intrusion into the lives of those being monitored. To further this goal, we have developed a hydraulic bed sensor to non-invasively monitor heartbeat and respiration during sleep. This paper describes the refinement of our developed prototype and signal processing methods, along with an evaluation of the robustness of our algorithms and results from testing. An evaluation of our sensor on a group of five diverse subjects (ranging in age from 24 to 67, two with cardiac history), in three different positions, demonstrates accuracy within 8 beats per minute up to 97.5% of the time.
研究表明，对老年人的生命体征和活动进行长期监测可能为维持生活质量以及在晚年延长独立生活时间提供机会。这样一种策略需要开发一个系统来收集这些数据，同时对被监测者的生活造成最小程度的干扰。为推动这一目标的实现，我们开发了一种液压床传感器，用于在睡眠期间非侵入式地监测心跳和呼吸。本文描述了我们所开发原型及信号处理方法的改进，以及对我们算法稳健性的评估和测试结果。在三个不同位置对一组五名不同受试者（年龄从24岁到67岁不等，其中两名有心脏病史）进行的传感器评估表明，在高达97.5%的时间内，每分钟心跳数的误差在8次以内。
