In cace of normal walking, case A, both knee of
most people had approximately smooth sine
curves, different in their slopes in spatial
displacement.
In case of experimentally stressed walking, case
B, ie. a right knee and ankle fixed by a knee-
ankle-foot plastic medical orthosis, the knees
showed a sine-curve with small slope and
amplitude and with short swinging phases of the
stressed leg.
But a damaged leg of some persons (case C), who
had experienced a broken leg or knee ligament had
a sine curves with a small and amplitude and with
short supporting phases. The normal leg, which is
stressed by problem to the other leg, had a similar
curve and phase as that of the problem leg.
The result of sum of metabolic energy is as
follows:
Case A: normal rt leg = normal It leg
Case B: normal It leg > stressed rt leg
Case C: normal rt leg> damaged It leg
It is said that normal leg has burdens by
influences of leg problems.
log PS
Case A
log PS
Case B
stressed rt knee
"
Fig. 6 Power Spectrum of Knee (X-axis) He
C. Spectral Analysis
Spectral analysis suggested two features. Fig. 6
shows power spectrum of knee (X-axis), curves of log
PS vs Hz indicate new information for features of
walking.
In case of natural normal (Case A) and stressed
walking (Case B), most people had a similar power
spectrum curve for the right and left knee.
The slope of that power spectrum curve was
proportioned to approximately, i.e.. power spectrum
was inversely proportioned to frequency. But those
(Case C), who had experienced a broken leg or knee
ligament had quite different power spectrum curves
for the right and left leg.
The normal leg had
1/ f* proportion,
the damaged leg had frequencies higher than the
those of normal leg.
The 1/f* proportion
is depended on person's movement.
CONCLUSION
Mechanisms of movement have many factors, it is
important to approach to analyze from the view of
Biomedical Engineering using 3-D videogrametry. In
the further study, it will be discussed about the
feedback control relationship between right and
left knees in walking. Analysis of Impulse Response
utilizing AR modeling will indicate mechanisms of
movement.
ACKNOWLEDGMENT
The authors would like to thank for experimental
supporting by many students in Institute of Industrial
Science, Univ. of Tokyo.
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