Agostini Valentina, Chiaramello Emma, Knaflitz Marco
Dept. of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.
Motor Control. 2013 Oct;17(4):355-69. doi: 10.1123/mcj.17.4.355. Epub 2013 Jun 7.
Static posturography provides an objective assessment of postural control by characterizing the body sway during upright standing. The center of pressure (COP) signal is recorded by a force platform, and it is analyzed by means of many different models and techniques. Most of the parameters calculated according to these different approaches are affected by relevant intra- and intersubject variability or do not have a clear physiological interpretation. Traditional approaches decompose the COP signal into anteroposterior and mediolateral time series, corresponding to ankle plantar/dorsiflexion and hip adduction/abduction, respectively. In this study we hypothesized that COP signals show inherent rotational characteristics. To verify our hypothesis we applied the rotary spectra analysis to the two-dimensional COP signal to decompose it into clockwise and counterclockwise rotational components. We demonstrated the presence of rotational components in the COP signal of healthy subjects, providing a reference data set of the spectral characteristics of these components.
静态姿势描记法通过描绘直立站立时身体的摇摆情况,对姿势控制进行客观评估。压力中心(COP)信号由测力平台记录,并通过许多不同的模型和技术进行分析。根据这些不同方法计算出的大多数参数受相关的个体内和个体间变异性影响,或者没有明确的生理学解释。传统方法将COP信号分解为前后和内外侧时间序列,分别对应于踝关节跖屈/背屈和髋关节内收/外展。在本研究中,我们假设COP信号呈现出固有的旋转特征。为了验证我们的假设,我们将旋转频谱分析应用于二维COP信号,以将其分解为顺时针和逆时针旋转分量。我们证明了健康受试者的COP信号中存在旋转分量,提供了这些分量频谱特征的参考数据集。