DocumentCode
1161941
Title
The use of splines to calculate jerk for a lifting task involving chronic lower back pain patients
Author
Slaboda, Jill.C. ; Boston, J. Robert ; Rudy, Thomas E. ; Lieber, Susan J. ; Rasetshwane, Daniel M.
Author_Institution
Bioeng. Dept., Univ. of Pittsburgh, PA, USA
Volume
13
Issue
3
fYear
2005
Firstpage
406
Lastpage
414
Abstract
Motion differences in a repetitive lifting task have been described previously using differences in the timing of body angle changes during the lift. These timing changes relied on small differences of motion and are difficult to measure. The purpose of this study was to evaluate shoulder jerk (rate of change of acceleration) in a repetitive lifting task as an alternative parameter to detect differences of motion between controls and chronic lower back pain (CLBP) patients and to measure the impact of a rehabilitation program on jerk. The jerk calculation was a noisy measure, since jerk is the third derivative of position; consequently a simulation was performed to evaluate smoothing methods. Woltring´s generalized cross-validation spline produced the best estimates of the third derivative and was fit to subject data. The root mean square (rms) amplitude of jerk was used for comparison. Significant group differences were found. CLBP patients performed lifts with lower jerk values than controls and, as the task progressed, both groups increased jerk. After completion of a rehabilitation program, CLBP patients performed lifts with greater rms jerk. In general, patients performed lifts with lower jerk values than controls, suggesting that pain impacts lifting style.
Keywords
biomechanics; patient rehabilitation; splines (mathematics); body angle changes; chronic lower back pain patients; lifting task; motion differences; rehabilitation program; shoulder jerk; splines; Acceleration; Accelerometers; Motion control; Motion detection; Motion measurement; Pain; Performance evaluation; Position measurement; Smoothing methods; Timing; Chronic lower back pain (CLBP); jerk; lifting; splines; Acceleration; Adult; Algorithms; Chronic Disease; Diagnosis, Computer-Assisted; Female; Humans; Lifting; Low Back Pain; Male; Middle Aged; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Task Performance and Analysis;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2005.844252
Filename
1506826
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