Estimation of compressive forces on lumbar spine from categorical posture data.
To combine estimates of trunk posture and force into an integrated measure of load on the low back, continuous variables for body angles were estimated by assuming specified distributions within corresponding posture categories with Monte-Carlo (MC) simulation. The estimated posture angles were compared with reference measurements from the Lumbar Motion Monitor and inclinometers. The lumbar compression estimates, generated from simulated posture angles and from direct measurement, were compared. Trunk flexion showed high correlation between direct measurements and simulated angles, as did L5/S1 compression. The MC approach to extracting continuous posture angles from categorized observations did not appear to introduce large error in the variables used to estimate spinal compressive forces. When instrumentation methods of postural assessment are not feasible, a simulation approach combined with biomechanical modelling could be used to integrate multiple external exposure variables into estimates of compressive forces acting on the low back.
Tak
S
S
University of Massachusetts Lowell, One University Avenue, Lowell, MA 01854, USA. swtak@hotmail.com
Punnett
L
L
Paquet
V
V
Woskie
S
S
Buchholz
B
B
D001696:Biomechanical Phenomena; D006801:Humans; D008161:Lumbosacral Region; D009010:Monte Carlo Method; D009068:Movement / Q000502:physiology; D011187:Posture / Q000502:physiology*; D016059:Range of Motion, Articular / Q000502:physiology; D013117:Spinal Cord Compression; D014481:United States; D014743:Videotape Recording; D016474:Weight-Bearing / Q000502:physiology