Introduction
: Ambulation can be used to monitor the healing of lower
extremity fractures. However, the ambulatory behavior of tibia fracture patients
remains unknown due to an inability to continuously quantify ambulation outside
of the clinic. The goal of this study was to design and validate an algorithm to
assess ambulation in tibia fracture patients using the ambulatory tibial load
analysis system during recovery, outside of the clinic.
Methods
Data were collected from a cyclic tester, 14 healthy volunteers performing a
2-min walk test on the treadmill, and 10 tibia fracture patients who wore
the ambulatory tibial load analysis system during recovery.
Results
The algorithm accurately detected 2000/2000 steps from simulated ambulatory
data. During the 2-min walk test, step counts derived from the algorithm and
treadmill showed a strong correlation (r
2
>0.98) to the visual
(“actual”) step count. Applying the algorithm to continuous data from tibia
fracture patients revealed qualitative differences in gait between the
initial and later stages of recovery. Additionally, a relatively large
standard deviation (≤3000 steps) in the daily average step count indicated a
variety of patient ambulatory behaviors.
Conclusion
The algorithm reported in this study can assess the ambulatory activity of
tibia fracture patients during the recovery period.