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首页> 外文会议>2010 IEEE International Workshop on Medical Measurements and Applications Proceedings >A multidimensional approach to postural sway modeling
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A multidimensional approach to postural sway modeling

机译：姿势摇摆建模的多维方法

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摘要

This paper deals with the investigation of interesting analytical properties of the bidimensional fluctuations of the center of pressure (COP) during static posturographic tests (postural sway), namely their complex-valued and non-circular nature. These properties, ascertained by applying suitable statistical tests to experimental data, are prerequisite to pursue novel multidimensional representations of postural sway. In particular, we discuss a four-dimensional (hypercomplex or quaternion) model that is obtained by joining time series obtained from healthy subjects in open-eyes and closed-eyes conditions. The difference existing between considering the complex and the hypercomplex representations are analyzed and discussed in terms of the predictive performance that can be achieved by multidimensional adaptive filters. The merits of a hypercomplex approach are highlighted.
机译：本文研究静态静态地形测试（姿势摇摆）期间压力中心（COP）的二维波动的有趣分析性质，即其复数值和非圆形性质。通过对实验数据进行适当的统计检验确定这些性质，是追求姿势摇摆的新颖多维表示的前提。特别是，我们讨论了一个四维（超复杂或四元数）模型，该模型是通过合并从健康受试者的睁眼和闭眼条件下获得的时间序列而获得的。根据多维自适应滤波器可以实现的预测性能，分析和讨论了考虑复杂表示和超复杂表示之间存在的差异。突出了超复杂方法的优点。

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