Foot & Ankle International/Vol. 24, No. 3/March 2003
LLD FOOT LOADING PATTERNS
257
helped ensure that our system conformed
well to the recommended technical
specifications of reproducibility and stabil-
ity, while proving that the system was
independent of subjective mood and
motivation.10
By analyzing the control foot loading
patterns of all subjects, it was possible to
further subcategorize the volunteers into
hallux or mid-forefoot loading patterns.
This was achieved by measuring the
maximum pressure under both the hallux
and the mid-forefoot and calculating the
resultant ratio of hallux/mid-forefoot pres-
sures. A subject achieving a ratio of
greater than 1.00 was considered to have
a hallux loading pattern, conversely a
ratio of less than 1.00 the subject was
categorized as having a mid-forefoot
loading pattern.
Fig. 1: The gait cycle time analysis of an individual showing the control pattern and the
pattern with a leg length discrepancy of 5 cm. Time in milliseconds is represented on the
x axis and load in kilograms on the y axis. Tracing of the total load (kg) is shown on the
top and the total pressure (kg/cm2) tracing is shown on the bottom. This tracing demon-
strates a decrease in the contact phase time (190 ms to 150 ms) and an increase in the
propulsion phase (170 ms to 210 ms) while the mid-stance phase (350 ms) and total time
(710 ms) remains. It also shows an increase in total forefoot load ie. area under the
curve during propulsion phase.
The maximum load from each sensor
was used for analysis of load as this rep-
resented the peak load in the temporal
profile of recorded loads. These records
were then analyzed to determine the
the operating frequency of 56 Hz is well below the rec-
ommended maximum sampling frequency of 100 Hz as
outlined by Schaff et al.9
magnitude and distribution of the loading on the foot.
RESULTS
Each subject was allowed to walk on the walkway
several times to accommodate to the surface and labo-
ratory area. The walkway was 20 m long and 1.5 m wide
with the footplates level with the floor. The subject’s
starting position was altered to ensure that, at their nor-
mal pace, the foot would make contact centrally on the
footplate with the subject looking straight ahead, without
having to look down to strike the plate.
Recordings of the foot pressures and load were first
recorded barefoot without leg length discrepancy (con-
trol) and then when simulating a leg length discrepan-
cy, pressure recordings were taken from the shorter
limb. The process was repeated until three recordings
of an entire foot pattern were achieved.
The test was repeated with each centimeter increment
and the trial repeated on the opposite limb. For each leg
and test condition the mean of the three trials was cal-
culated. The maximum load and pressure data for each
sensor were exported to a spreadsheet for analysis of
the load and load distribution across the foot. Statistical
analysis was by students t-test.
The test was repeated again several weeks later to
ensure that all the results were reproducible for an indi-
vidual and to ensure that the foot loading patterns did not
display any significant changes due to a subject’s famil-
iarity with the test process. Repeating the experiments
The patterns of recorded load were reproducible for
an individual whether repeated during the same test
session or when tested several weeks later.
The results show that as leg length discrepancy
increased the total loading on the foot of the short limb
increased from a mean of 35.31 (SD 7.19) to 37.99
(SD 7.92) kg/cm2/sec; forefoot loading increased from
a mean of 15.58 (SD 4.84) to 19.00 (SD 5.38)
kg/cm2/sec, whereas the hindfoot loading remained
the same.
As leg length discrepancies increased the contact
phase of gait decreased from a mean of 22% (SD 4.34)
of the stance phase to 13% (SD 3.48), p<0.001. The
midstance phase remained the same whereas the
propulsion phase increased from 44% (SD 6.325) to
50% (SAD 8.58), p<0.003 (Fig. 1)
As leg length discrepancy increased, hallux loading
similarly increased in three of the four categories of sub-
jects, males with mid-forefoot loading, males with hallux
loading, and females with hallux loading (p<0.001). The
exceptions were those females who demonstrated a
pattern of mid-forefoot loading on their control foot pat-
tern. These females demonstrated further mid-forefoot
loading as leg length discrepancy increased (p=0.004)
(Figs. 2, 3).