S. Bouilland et P. Loslever, MULTIPLE CORRESPONDENCE-ANALYSIS OF BIOMECHANICAL SIGNALS CHARACTERIZED THROUGH FUZZY HISTOGRAMS, Journal of biomechanics, 31(7), 1998, pp. 663-666
Data characterizing is considered the first and main stage of the stat
istical analysis. Rather than characterizing each biomechanical signal
through one or few global indicators, such as the mean or the root me
an square, this paper suggests first to cut the scale into several fuz
zy windows and to summarize the data within each window through an occ
urrence indicator. These indicators become the analysis variables. The
y can be analyzed through the multiple correspondence analysis, which
shows the most discriminant variables, connections between them, empir
ical situation classes and correspondences between these classes and t
he most discriminant variables. An example is considered for arguing o
ur point of view; it concerns characterizing and analysis of forces si
tuated at the hand, foot and back level in a load lifting task. (C) 19
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