作者: Frank L. Buczek , Erik W. Sinsel , Daniel S. Gloekler , Bryan M. Wimer , Christopher M. Warren
DOI: 10.1016/J.JBIOMECH.2011.04.003
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摘要: Abstract Upper extremity musculoskeletal disorders represent an important health issue across all industry sectors; as such, the need exists to develop models of hand that provide comprehensive biomechanics during occupational tasks. Previous optical motion capture studies used a single marker on dorsal aspect finger joints, allowing calculation one and two degree-of-freedom (DOF) joint angles; additional algorithms were needed define centers palmar surface fingers. We developed 6DOF model (6DHand) obtain unconstrained kinematics segments, modeled frusta right circular cones approximate surface. To evaluate kinematic performance, twenty subjects gripped cylindrical handle surrogate for powered tool. hypothesized accessory motions (metacarpophalangeal pronation/supination; proximal distal interphalangeal radial/ulnar deviation translations) would be small (less than 5° rotations, less 2 mm if segment anatomical reference frames aligned correctly, skin movement artifacts negligible. For gripping task, 93 112 by our definition, suggesting this approach appropriately joints Metacarpophalangeal supination was larger expected (approximately 10°), may adjusted through local frame optimization procedures previously knee in gait analysis. Proximal translations at metacarpophalangeal 10 mm) explained metacarpals, but not corrupt inverse dynamics calculated phalanges. assessed performance study; more rigorous validation likely require medical imaging.