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首页> 外文期刊>Neuroscience Letters: An International Multidisciplinary Journal Devoted to the Rapid Publication of Basic Research in the Brain Sciences >Identification of distinct characteristics of postural sway in Parkinson's disease: a feature selection procedure based on principal component analysis.
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Identification of distinct characteristics of postural sway in Parkinson's disease: a feature selection procedure based on principal component analysis.

机译：帕金森氏病姿势摆动的不同特征的识别：基于主成分分析的特征选择程序。

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摘要

We selected descriptive measures of the centre of pressure (CoP) displacement in quiet standing, by means of a procedure based on principal component analysis, in two groups particularly different in terms of postural behaviours, such as subjects with Parkinson's disease (PD) in the levodopa off and on states. We computed 14 measures of the CoP: 5 measures of CoP trajectory over the support surface, 3 measures that estimated the area covered by the CoP, 1 measure that estimated the principal CoP sway direction, 1 measure that quantified the CoP total power, 1 measure that estimated the variability of CoP frequency content and 3 measures of characteristic CoP frequencies [L. Rocchi, L. Chiari, A. Cappello, Feature selection of stabilometric parameters based on principal component analysis, Med. Biol. Eng. Comput. 42 (2004) 71-79; L. Rocchi, L. Chiari, F.B. Horak, Effects of deep brain stimulation and levodopa on postural sway in Parkinson's disease, J. Neurol. Neurosurg. Psychiatry, 73 (2002) 267-274]. The feature selection, independently applied to the measures obtained in the two groups, resulted in different principal component (PC) subspaces of the 14-dimension original data set (4 PCs in the off and 3 PCs in the on state to account for over 90% of the original variance), but in the same 5 CoP measures (selected features) needed to describe the different postural behaviours: root mean square distance; mean velocity; principal sway direction; centroidal frequency of the power spectrum; frequency dispersion. The five selected features were found to provide insight into the postural control mechanisms and to describe changes in postural strategies in the two groups of PD subjects, off and on levodopa. Thus, the five selected features may be recommended for use in clinical practice and in research, in the direction toward the definition of a standard protocol in quantitative posturography.
机译：我们通过基于主成分分析的方法，选择了在姿势行为方面特别不同的两组（例如，帕金森病（PD）受试者）在安静站立时压力中心（CoP）位移的描述性测量方法。左旋多巴的开和关状态。我们计算了CoP的14个度量：在支撑表面上的CoP轨迹的5个度量，估计CoP覆盖区域的3个度量，估计CoP摇摆方向的1个度量，量化CoP总功率的1个度量，1个度量估计了CoP频率含量的变异性和特征性CoP频率的3种量度[L. Rocchi，L. Chiari，A. Cappello，基于主成分分析的稳定参数的特征选择，医学。生物学。计算42（2004）71-79;罗基（L. Rocchi），基亚里（L. Chiari） Horak，深部脑刺激和左旋多巴对帕金森病姿势摇摆的影响，J。Neurol。神经外科。 Psychiatry，73（2002）267-274]。功能选择独立应用于两组中的度量，导致14维原始数据集的主成分（PC）子空间不同（关闭状态为4台PC，开启状态为3台PC，占90多个）百分比），但在描述相同姿势行为所需的相同5种CoP度量（选定特征）中：均方根距离;平均速度;主摇摆方向;功率谱的质心频率;频散。发现这五个选定的特征可以提供对姿势控制机制的洞察力，并描述两组左旋多巴和左上角PD患者的姿势策略的变化。因此，可以向临床实践和研究中推荐使用这五个选定特征，以朝着定量体位照相术中标准协议的定义方向发展。

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