Low back loading during occupational lifting is thought to be an important
causative factor in the development of low back pain. In order to regulate
spinal loading in the workplace, it is necessary to measure it accurately.
Various methods have been developed to do this, but each has its own limita
tions, and none can be considered a "gold standard". The purpose of the cur
rent study was to compare the results of three contrasting techniques in or
der to gain insight into possible sources of error to which each is suscept
ible. The three techniques were a linked segment model (LSM), an electromyo
graphic (EMG)-based model, and a neural network (NN) that used both EMG and
inertial sensing techniques. All three techniques were applied simultaneou
sly to calculate spinal loading when eight volunteers performed a total of
eight lifts in a laboratory setting. Averaged results showed that, in compa
rison with the LSM, the EMG technique calculated a 25.5 +/- 33.4% higher pe
ak torque and the NN technique a 17.3 +/- 10.5% lower peak torque. Differen
ces between the techniques varied with lifting speed and method of lifting,
and could be attributed to differences in anthropometric assumptions, anta
gonistic muscle activity, damping of transient force peaks by body tissues,
and, specific to the NN, underestimation of trunk flexion. The results of
the current study urge to reconsider the validity of other models by indepe
ndent comparisons. (C) 2001 Elsevier Science Ltd. All rights reserved.