Abstract：
Gait smoothness, perceived when a person walks continuously and uninterruptedly, is associated with an undisrupted gait pattern, good sensorimotor control, and a lower risk of falling. The spectral arc length (SPARC) is a quantitative metric proposed for the evaluation of movement smoothness from the signal obtained by wearable sensors. In this small exploratory case-control study, older persons with and without a history of injurious falls underwent a turn-test while wearing an accelerometer: gait smoothness was estimated by calculating SPARC during the straight and turning phases. Cases seemed to exhibit lower SPARC values during the turning phase, in comparison with control.
摘要：
步态平滑度,当一个人连续不间断地行走时，与未中断的步态模式有关，良好的感觉运动控制,下降的风险较低。光谱弧长（SPARC）是一种定量度量，用于根据可穿戴传感器获得的信号评估运动平滑度。在这项小型探索性病例对照研究中，有和没有伤害性跌倒史的老年人在佩戴加速度计时接受转弯测试:通过计算直行和转弯阶段的SPARC来估计步态平滑度.案例在转向阶段似乎表现出较低的SPARC值，与对照相比。
