P. Loslever et al., DESCRIPTIVE MULTIDIMENSIONAL STATISTICAL-METHODS FOR ANALYZING SIGNALS IN A MULTIFACTORIAL BIOMEDICAL DATABASE, Medical & biological engineering & computing, 34(1), 1996, pp. 13-20
A methodology is presented to analyse multidimensional signals from se
veral recording periods resulting from an experimental study on human
or other living systems. The methodology is divided into two stages: i
ntra-period analysis and inter-period analysis. The purpose of the fir
st stage is to highlight general trends in multidimensional signal cha
nges and the more informative components of the signals. The purpose o
f the second stage is to assess the influence of environmental or indi
vidual difference factors on a given signal component that appears to
be discriminant in the first stage. To take into account the multivari
able state of the system and the multi-observational aspect, a multidi
mensional descriptive statistical approach is used. The methods are co
rrespondence analysis and hierarchical clustering. They are illustrate
d through an occupational medicine application from a study of sedenta
ry posture.