• Title of article

    Quantification of finger joint loadings using musculoskeletal modelling clarifies mechanical risk factors of hand osteoarthritis

  • Author/Authors

    Goislard de Monsabert، نويسنده , , Benjamin and Vigouroux، نويسنده , , Laurent and Bendahan، نويسنده , , David and Berton، نويسنده , , Eric، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    177
  • To page
    184
  • Abstract
    Owing to limited quantitative data related to the loadings (forces and pressures) acting upon finger joints, several clinical observations regarding mechanical risk factors of hand osteoarthritis remain misunderstood. To improve the knowledge of this pathology, the present study used musculoskeletal modelling to quantify the forces and pressures acting upon hand joints during two grasping tasks. tic and grip force data were recorded during both a pinch and a power grip tasks. Three-dimensional magnetic resonance imaging measurements were conducted to quantify joint contact areas. Using these datasets as input, a musculoskeletal model of the hand and wrist, including twenty-three degrees of freedom and forty-two muscles, has been developed to estimate joint forces and joint pressures. ompared with the power grip task, the pinch grip task resulted in two to eight times higher joint loadings whereas the grip forces exerted on each finger were twice lower. For both tasks, joint forces and pressures increased along a disto-proximal direction for each finger. antitative dataset provided by the present hand model clarified two clinical observations about osteoarthritis development which were not fully understood, i.e., the strong risk associated to pinch grip tasks and the high frequency of thumb-base osteoarthritis.
  • Keywords
    hand , Osteoarthritis , Musculoskeletal modelling , Power grip , Joint pressure , Pinch grip
  • Journal title
    Medical Engineering and Physics
  • Serial Year
    2014
  • Journal title
    Medical Engineering and Physics
  • Record number

    1732458