Investigations of human foot and ankle biomechanics rely chiefly on cadaver
experiments. The application of proper force magnitudes to the cadaver foo
t and ankle is essential to obtain valid biomechanical data. Data for exter
nal ground reaction forces are readily available from human motion analysis
. However, determining appropriate forces for extrinsic foot and ankle musc
les is more problematic. A common approach is the estimation of forces from
muscle physiological cross-sectional areas and electromyographic data. We
have developed a novel approach for loading the Achilles and posterior tibi
alis tendons that does not prescribe predetermined muscle forces. For our l
oading model, these muscle forces are determined experimentally using indep
endent plantarflexion and inversion angle feedback control. The independent
(input) parameters - calcaneus plantarflexion, calcaneus inversion, ground
reaction forces, and peroneus forces - are specified. The dependent (outpu
t) parameters - Achilles force, posterior tibialis force, joint motion, and
spring ligament strain - are functions of the independent parameters and t
he kinematics of the foot and ankle. We have investigated the performance o
f our model for a single, clinically relevant event during the gait cycle.
The instantaneous external forces and foot orientation determined from huma
n subjects in a motion analysis laboratory were simulated in vitro using cl
osed-loop feedback control. Compared to muscle force estimates based on phy
siological cross-sectional area data and EMG activity at 40% of the gait cy
cle, the posterior tibialis force and Achilles force required when using po
sition feedback control were greater. (C) 2001 Elsevier Science Ltd. All ri
ghts reserved.