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首页> 外文期刊>Journal of Biomechanics >Multiple correspondence analysis of biomechanical signals characterized through fuzzy histograms.
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Multiple correspondence analysis of biomechanical signals characterized through fuzzy histograms.

机译：通过模糊直方图表征生物力学信号的多重对应分析。

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摘要

Data characterizing is considered the first and main stage of the statistical analysis. Rather than characterizing each biomechanical signal through one or few global indicators, such as the mean or the root mean square, this paper suggests first to cut the scale into several fuzzy windows and to summarize the data within each window through an occurrence indicator. These indicators become the analysis variables. They can be analyzed through the multiple correspondence analysis, which shows the most discriminant variables, connections between them, empirical situation classes and correspondences between these classes and the most discriminant variables. An example is considered for arguing our point of view; it concerns characterizing and analysis of forces situated at the hand, foot and back level in a load lifting task.
机译：数据表征被认为是统计分析的第一阶段和主要阶段。与通过一个或几个全局指标（例如均值或均方根）来表征每个生物力学信号不同，本文建议首先将标度切成几个模糊窗口，并通过一个出现指标来总结每个窗口中的数据。这些指标成为分析变量。可以通过多重对应分析来分析它们，该分析显示了最有区别的变量，它们之间的联系，经验状况类别以及这些类别与最有区别的变量之间的对应关系。我们以一个例子来论证我们的观点。它涉及在负载提升任务中位于手，脚和后背水平的力的表征和分析。

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