P. Loslever et al., COMBINED STATISTICAL STUDY OF JOINT ANGLES AND GROUND REACTION FORCESUSING COMPONENT AND MULTIPLE CORRESPONDENCE-ANALYSIS, IEEE transactions on biomedical engineering, 41(12), 1994, pp. 1160-1167
The purpose of this research is to propose a general methodology to dr
aw gait patterns when including hip, knee and ankle angle excursions i
n the sagital plane and the three components of the ground reaction fo
rce. The multidimensional signal analysis procedure is divided into th
ree main stages: 1) describing the six signals of each step through sl
iding averages computed for successive time windows, 2) analyzing sepa
rately the six step-by-window tables obtained for each signal through
principal component analysis to reduce the excessive quantity of data,
and 3) analyzing the most informative time windows of the six signals
at the same time. To emphasize both linear and nonlinear relationship
s between the respective time windows, the signal range within a windo
w is cut into fuzzy modalities such as, ''low'' ''medium'' and ''large
.'' The resulting table is investigated using multiple correspondence
analysis. The outcomes are gait patterns combining both time and space
aspects. The factor planes obtained from multiple correspondence anal
ysis constitute initial data models so that new data obtained from pat
hological gait can be directly projected onto them. Such an operation
can be used to show how the rehabilitation of a particular subject evo
lves in relation to normal gait patterns.