Romano F, Colagiorgio P, Buizza A, Sardi F, Ramat S
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:3715-8. doi: 10.1109/EMBC.2015.7319200.
Postural control during quiet standing is evaluated by analyzing CoP sway, easily measured using a force platform. However, recent proliferation of motion tracking systems made easily available an estimate of the CoM location. Traditional CoP-based measures presented in literature provide information about age-related changes in postural stability and fall risk. We investigated, on an age-matched group of subjects, the relationship between classical CoP-based measures computed on sway path and statistical mechanics parameters on diffusion plot, with those extracted from CoM time-series. Our purpose is to understand which of these parameters, computed on CoM sway, can discriminate postural abnormalities, in order to use a video tracking system to evaluate balance in addition to motor capabilities.
通过分析重心（CoP）摆动来评估安静站立时的姿势控制，使用力平台可轻松测量该摆动。然而，最近运动跟踪系统的普及使得能够轻松获得重心（CoM）位置的估计值。文献中提出的基于传统CoP的测量方法提供了有关姿势稳定性和跌倒风险的年龄相关变化的信息。我们在年龄匹配的一组受试者中，研究了根据摆动路径计算的基于经典CoP的测量值与扩散图上的统计力学参数之间的关系，以及从CoM时间序列中提取的参数之间的关系。我们的目的是了解在CoM摆动上计算的这些参数中，哪些能够区分姿势异常，以便除了运动能力之外，还能使用视频跟踪系统来评估平衡。
