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本文引用的文献

1
Development and evaluation of a prior-to-impact fall event detection algorithm.撞击前跌倒事件检测算法的开发与评估
IEEE Trans Biomed Eng. 2014 Jul;61(7):2135-40. doi: 10.1109/TBME.2014.2315784. Epub 2014 Apr 4.
2
Age-related joint moment characteristics during normal gait and successful reactive-recovery from unexpected slip perturbations.正常步态以及从不预期滑倒扰动中成功进行反应性恢复过程中与年龄相关的关节力矩特征。
Gait Posture. 2009 Oct;30(3):276-81. doi: 10.1016/j.gaitpost.2009.04.005. Epub 2009 Jul 5.
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Differentiating fall-prone and healthy adults using local dynamic stability.利用局部动态稳定性区分易跌倒成年人和健康成年人。
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Protection against impact with the ground using wearable airbags.使用可穿戴安全气囊防止与地面碰撞。
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Investigation of fall-risk using a wearable device with accelerometers and rate gyroscopes.使用带有加速度计和速率陀螺仪的可穿戴设备对跌倒风险进行调查。
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Ambulatory measurement of arm orientation.手臂方位的动态测量。
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Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring.使用三轴加速度计进行动态监测的实时人体运动分类器的实现。
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Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization.通过角速率特征和高速摄像机特征区分跌倒活动与正常活动。
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The technology of accelerometry-based activity monitors: current and future.基于加速度计的活动监测技术：现状与未来。
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A description of an accelerometer-based mobility monitoring technique.一种基于加速度计的移动性监测技术的描述。
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跌倒检测中的自动个体校准——一个综合的动态测量框架。

Automatic individual calibration in fall detection--an integrative ambulatory measurement framework.

作者信息

Liu Jian, Lockhart Thurmon E

机构信息

Health and Human Performance, University of Houston, 104 GAR, 3855 Holman St., Houston, TX 77204-6015, USA.

出版信息

Comput Methods Biomech Biomed Engin. 2013;16(5):504-10. doi: 10.1080/10255842.2011.627329. Epub 2011 Dec 8.

DOI:10.1080/10255842.2011.627329
PMID:22149355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3309173/
Abstract

The objective of the current study was to demonstrate the utility of a new integrative ambulatory measurement (IAM) framework by developing and evaluating an individual calibration function in fall detection application. Ten healthy elderly persons were involved in a laboratory study and tested in a protocol comprising various types of activities of daily living and slip-induced backward falls. Inertial measurement units attached to the trunk and thigh segments were used to measure trunk angular kinematics and thigh accelerations. The effect of individual calibration was evaluated with previously developed fall detection algorithm. The results indicated that with individual calibration, the fall detection performance achieved approximately the same level of sensitivity (100% vs. 100%) and specificity (95.25% vs. 95.65%); however, response time was significantly lower than without (249 ms vs. 255 ms). It was concluded that the automatic individual calibration using the IAM framework improves the performance of fall detection, which has a greater implication in preventing/minimising injuries associated with fall accidents.

摘要

本研究的目的是通过在跌倒检测应用中开发和评估个体校准函数，来证明一种新的综合动态测量（IAM）框架的实用性。十名健康老年人参与了一项实验室研究，并按照包含各种日常生活活动和滑倒诱发的向后跌倒的方案进行测试。附着在躯干和大腿部位的惯性测量单元用于测量躯干角运动学和大腿加速度。使用先前开发的跌倒检测算法评估个体校准的效果。结果表明，经过个体校准后，跌倒检测性能达到了大致相同的灵敏度水平（100% 对 100%）和特异性水平（95.25% 对 95.65%）；然而，响应时间显著低于未校准时（249毫秒对255毫秒）。得出的结论是，使用IAM框架进行自动个体校准可提高跌倒检测性能，这对于预防/最小化与跌倒事故相关的伤害具有更大的意义。