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节能多状态传感器系统中的跌倒检测算法

Fall detection algorithm in energy efficient multistate sensor system.

作者信息

Korats Gundars, Hofmanis Janis, Skorodumovs Aleksejs, Avots Egils

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4974-7. doi: 10.1109/EMBC.2015.7319508.

DOI:10.1109/EMBC.2015.7319508
PMID:26737408
Abstract

Health issues for elderly people may lead to different injuries obtained during simple activities of daily living (ADL). Potentially the most dangerous are unintentional falls that may be critical or even lethal to some patients due to the heavy injury risk. Many fall detection systems are proposed but only recently such health care systems became available. Nevertheless sensor design, accuracy as well as energy consumption efficiency can be improved. In this paper we present a single 3-axial accelerometer energy-efficient sensor system. Power saving is achieved by selective event processing triggered by fall detection procedure. The results in our simulations show 100% accuracy when the threshold parameters are chosen correctly. Estimated energy consumption seems to extend battery life significantly.

摘要

老年人的健康问题可能会导致在日常生活简单活动(ADL)中出现不同的损伤。潜在最危险的是意外跌倒,由于重伤风险,这对一些患者可能是严重的甚至是致命的。已经提出了许多跌倒检测系统,但直到最近这类医疗保健系统才可用。然而,传感器设计、准确性以及能量消耗效率仍可提高。在本文中,我们提出了一种单三轴加速度计节能传感器系统。通过由跌倒检测程序触发的选择性事件处理来实现节能。我们模拟的结果表明,当阈值参数选择正确时,准确率为100%。估计的能量消耗似乎能显著延长电池寿命。

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Fall detection algorithm in energy efficient multistate sensor system.节能多状态传感器系统中的跌倒检测算法
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