Jr. Potvin et al., MECHANICALLY CORRECTED EMG FOR THE CONTINUOUS ESTIMATION OF ERECTOR SPINAE MUSCLE LOADING DURING REPETITIVE LIFTING, European journal of applied physiology and occupational physiology, 74(1-2), 1996, pp. 119-132
Few studies have been carried out on the changes in biomechanical load
ing on low-back tissues during prolonged lifting. The purpose of this
paper was to develop a model for continuously estimating erector spina
e muscle loads during repetitive lifting and lowering tasks. The model
was based on spine kinematics and bilateral lumbar and thoracic erect
or spinae electromyogram (EMG) signals and was developed with the data
from eight male subjects. Each subject performed a series of isometri
c contractions to develop extensor moments about the low back. Maximum
voluntary contractions (MVCs) were used to normalize all recorded EMG
and moment time-histories. Ramp contractions were used to determine t
he non-linear relationship between extensor moments and EMG amplitudes
. In addition, the most appropriate low-pass filter cut-off frequencie
s were calculated for matching the rectified EMG signals with the mome
nt patterns. The mean low-pass cut-off frequency was 2.7 (0.4) Hz. The
accuracy of the non-linear EMC-based estimates of isometric extensor
moment were tested with data from a series of six rapid contractions b
y each subject. The mean error over the duration of these contractions
was 9.2 (2.6)% MVC. During prolonged lifting sessions of 20 min and o
f 2 h, a model was used to calculate changes in muscle length based on
monitored spine kinematics. EMG signals were first processed accordin
g to the parameters determined from the isometric contractions and the
n further processed to account for the effects of instantaneous muscle
length and velocity. Simple EMG estimates were found to underestimate
peak loading by 9.1 (4.0) and 25.7 (11.6)% MVC for eccentric and conc
entric phases of lifting respectively, when compared to load estimates
based on the mechanically corrected EMG. To date, the model has been
used to analyze over 5300 lifts.