Master Degree Program in Healthcare Industry, Chang Gung University, Taoyuan.
Department of Rehabilitation Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei.
Int J Rehabil Res. 2022 Mar 1;45(1):53-57. doi: 10.1097/MRR.0000000000000511.
Wearable inertial sensors have gradually been used as an objective technology for biomechanical assessments of both healthy and pathological movement patterns. This paper used foot-worn sensors for characterizing the spatiotemporal characteristics of walking and turning between older fallers and nonfallers. Thirty community-dwelling older fallers and 30 older nonfallers performed 10-m straight walking, turned 180° around a cone, and then walked 10-m back to the starting point. Specific algorithms were used to measure spatiotemporal gait (double support phase of the gait cycle, swing width, and minimal toe clearance) and turning parameters (turn duration and turn steps) using two foot-worn Physiolog inertial sensor system. The researchers directly exported data as reported by the system. Our findings indicated that older fallers showed 26.58% longer time (P = 0.036) and 13.21% more steps (P = 0.038) compared to nonfallers during turning. However, both groups decreased their walking velocity (both P < 0.001), increased double support (both P = 0.001), and increased the swing width (both P = 0.001) during the transition from walking to turning. The older nonfallers additionally increased toe clearance (P = 0.001). Compared with the fallers, the older nonfallers showed a larger change in the swing width (P = 0.025) and toe clearance (P = 0.025) in walking to turning. Older fallers may adopt a cautionary strategy while turning to reduce the risk of falls. Wearable sensors can provide the temporospatial characteristics of turning and reveal significant differences by fall status, indicating the potential of turning measures as possible markers for identifying those at fall risk.
可穿戴惯性传感器已逐渐被用作评估健康和病理运动模式的生物力学的客观技术。本文使用足底传感器来描述老年人跌倒者和非跌倒者行走和转身的时空特征。30 名社区居住的老年跌倒者和 30 名非跌倒者进行了 10 米直走、绕锥形物转 180°以及走回起点的 10 米折返行走。使用两个足底 Physiolog 惯性传感器系统,特定算法用于测量时空步态(步态周期的双支撑相、摆动宽度和最小脚趾间隙)和转身参数(转身持续时间和转身步数)。研究人员直接导出系统报告的数据。我们的研究结果表明,与非跌倒者相比,跌倒者在转身时的时间(P=0.036)延长了 26.58%,步数(P=0.038)增加了 13.21%。然而,两组在从行走过渡到转身时都降低了行走速度(均 P<0.001),增加了双支撑(均 P=0.001)并增加了摆动宽度(均 P=0.001)。非跌倒的老年人还增加了脚趾间隙(P=0.001)。与跌倒者相比,非跌倒的老年人在从行走过渡到转身时,摆动宽度(P=0.025)和脚趾间隙(P=0.025)的变化更大。老年跌倒者在转身时可能采取谨慎策略以降低跌倒风险。可穿戴传感器可以提供转身的时空特征,并通过跌倒状态显示出显著差异,表明转身测量可能作为识别跌倒风险的潜在标志物。