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Trunk Angular Kinematics During Slip-Induced Backward Falls and Activities of Daily Living

机译:滑倒倒塌过程中的躯干角运动学及日常生活活动

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摘要

Prior to developing any specific fall detection algorithm, it is critical to distinguish the unique motion features associated with fall accidents. The current study aimed to investigate the upper trunk angular kinematics during slip-induced backward falls and activities of daily living (ADLs). Ten healthy older adults (age = 75 ± 6 yr (mean ± SD)) were involved in a laboratory study. Sagittal trunk angular kinematics were measured using optical motion analysis system during normal walking, slip-induced backward falls, lying down, bending over, and various types of sitting down (SN). Trunk angular phase-plane plots were generated to reveal the motion features of falls. It was found that backward falls were characterized by a simultaneous occurrence of a slight trunk extension and an extremely high trunk extension velocity (peak average = 139.7 deg/s), as compared to ADLs (peak average = 84.1 deg/s). It was concluded that the trunk extension angular kinematics of falls were clearly distinguishable from those of ADLs from the perspective of angular phase-plane plot. Such motion features can be utilized in future studies to develop a new prior-to-impact fall detection algorithm.
机译:在开发任何特定的跌倒检测算法之前,至关重要的是区分与跌倒事故相关的独特运动特征。当前的研究旨在调查滑倒引起的向后跌倒和日常生活活动(ADL)期间的上躯干角运动学。十名健康的老年人(年龄≥75岁±6岁(平均±SD))参与了一项实验室研究。使用光学运动分析系统在正常步行,滑倒引起的向后跌倒,躺下,弯腰和各种坐姿(SN)期间测量矢状躯干角运动学。生成躯干角相平面图以揭示跌倒的运动特征。结果发现,与ADL(峰值平均值= 84.1 deg / s)相比,后倾倒的特点是同时出现轻微的躯干伸展和极高的躯干伸展速度(峰值平均值= 139.7 deg / s)。结论是,从角相平面图的角度来看,跌倒的躯干伸展角运动学与ADL明显不同。此类运动特征可用于未来的研究中,以开发一种新的撞击前跌倒检测算法。

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