Date of Award


Publication Type

Master Thesis

Degree Name




First Advisor

Andrews, D.


Health Sciences, Rehabilitation and Therapy.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


The purpose of this study was to develop a real time method for documenting the cumulative low back loads present in lifting tasks using a simplified regression based biomechanical model. Following model development, custom software was created and used with an electromagnetic tracking device (Fastrak(TM)) to calculate cumulative loads in real-time. Estimates obtained from the real-time method (cumulative joint compression, anterior joint shear, posterior joint shear) were compared to estimates from a dynamic link segment biomechanical model (GOBER). Estimates obtained by the real-time method were statistically different than the dynamic biomechanical model in estimates of cumulative compression and cumulative anterior shear force (p = 0.018, and p = 0.014), while measures of cumulative posterior joint shear were shown to be statistically similar (p = 0.763). However, further analyses of the real-time method results indicated relative errors of -3.4% +/- 3.57%, 4.88% +/- 6.47%, and -10.34% +/- 33.27% for measurements of cumulative joint compression, anterior joint shear, and posterior joint shear, with cumulative RMS errors of 0.636 kN·s, 34.92 N·s, and 53.73 N·s, respectively. These results indicated that the developed model performs comparably with alternate documented methods used for cumulative load estimation. Therefore it was concluded that the proposed real-time method is valid and could be used for future examinations of cumulative low back loads incurred during sagittal lifting and lowering tasks. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .A36. Source: Masters Abstracts International, Volume: 42-03, page: 0935. Adviser: David M. Andrews. Thesis (M.H.K.)--University of Windsor (Canada), 2003.