DocumentCode
406536
Title
The 3D thumb-tip forces produced by individual do not superimpose linearly
Author
Pearlman, J.L. ; Valero-Cuevas, F.J.
Author_Institution
Neuromuscular Biomech. Lab., Cornell Univ., Ithaca, NY, USA
Volume
2
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
1819
Abstract
Clinicians and biomechanists commonly assume the thumb-tip force produced by tension in individual tendons superimpose linearly. We tested this assumption experimentally in cadaver thumbs (n=13) by developing a specimen-specific linear model and quantifying the error of this model´s predictive ability. We developed these models by linearly regressing 3D thumb-tip output force/torque against tendon tension. We applied linear optimization to these models to calculate the combination of tendon tensions predicted to maximize 3D thumb-tip force vectors in each of five directions (palmar, dorsal, radial, ulnar, distal) under four neurological conditions (intact, low-median paralysis, transfer A, transfer B), and applied these optimal tensions to the specimen. We quantified the error in the linear model by calculating the magnitude difference and angle between predicted and measured force vectors. This error depended on the direction of maximized thumb-tip force. The measured force vector magnitude was either significantly (p < 0.05) lower (distal and dorsal) or not significantly different (palmar, radial, ulnar) from the predicted magnitude, and the angle between predicted and measured vectors varied greatly (distal: 20°±20°; palmar: 22°±13°; radial: 36°±13°, ulnar: 34°±20°; dorsal: 51°±13°). Our results suggest that the linear assumption is most accurate when the thumb-tip force is in the palmar direction.
Keywords
biomechanics; neurophysiology; physiological models; regression analysis; 3D thumb-tip forces; biomechanics; distal; dorsal; force vectors; linear regression; low-median paralysis; neurology; optimization; palmar; radial; specimen-specific linear model; tendons; ulnar; Arm; Cadaver; Force measurement; Joints; Linear systems; Predictive models; Tendons; Testing; Thumb; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1279770
Filename
1279770
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