Literature DB >> 34062348

Anthropometric scaling of musculoskeletal models of the hand captures age-dependent differences in lateral pinch force.

Tamara Ordonez Diaz1, Jennifer A Nichols2.   

Abstract

Musculoskeletal models and computer simulations enable non-invasive study of muscle function and contact forces. Hand models are useful for understanding the complexities of hand strength, precision movement, and the dexterity required during daily activities. Yet, generic models fail to accurately represent the entire scope of the population, while subject-specific models are labor-intensive to create. The objective of this study was to assess the efficacy of scaled generic models to represent the broad spectrum of strength profiles across the lifespan. We examined one hundred lateral pinch simulations using a generic model of the wrist and thumb anthropometrically scaled to represent the full range of heights reported for four ages across childhood, puberty, older adolescence, and adulthood. We evaluated maximum lateral pinch force produced, muscle control strategies, and the effect of linearly scaling the maximum isometric force. Our simulations demonstrated three main concepts. First, anthropometric scaling could capture age-dependent differences in pinch strength. Second, a generic muscle control strategy is not representative of all populations. Lastly, simulations do not employ optimal fiber length to complete a lateral pinch task. These results demonstrate the potential of anthropometrically-scaled models to study hand strength across the lifespan, while also highlighting that muscle control strategies may adapt as we age. The results also provide insight to the force-length relationship of thumb muscles during lateral pinch. We conclude that anthropometric scaling can accurately represent age characteristics of the population, but subject-specific models are still necessary to represent individuals.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computer simulation; Key pinch; Lifespan; Muscle activations; Thumb

Mesh:

Year:  2021        PMID: 34062348      PMCID: PMC8225253          DOI: 10.1016/j.jbiomech.2021.110498

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.789


  63 in total

1.  Towards a realistic biomechanical model of the thumb: the choice of kinematic description may be more critical than the solution method or the variability/uncertainty of musculoskeletal parameters.

Authors:  Francisco J Valero-Cuevas; M Elise Johanson; Joseph D Towles
Journal:  J Biomech       Date:  2003-07       Impact factor: 2.712

2.  OpenSim: open-source software to create and analyze dynamic simulations of movement.

Authors:  Scott L Delp; Frank C Anderson; Allison S Arnold; Peter Loan; Ayman Habib; Chand T John; Eran Guendelman; Darryl G Thelen
Journal:  IEEE Trans Biomed Eng       Date:  2007-11       Impact factor: 4.538

3.  A dynamic model of the hand with application in functional neuromuscular stimulation.

Authors:  A Esteki; J M Mansour
Journal:  Ann Biomed Eng       Date:  1997 May-Jun       Impact factor: 3.934

4.  How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds.

Authors:  Edith M Arnold; Samuel R Hamner; Ajay Seth; Matthew Millard; Scott L Delp
Journal:  J Exp Biol       Date:  2013-03-07       Impact factor: 3.312

5.  Extrinsic and intrinsic index finger muscle attachments in an OpenSim upper-extremity model.

Authors:  Jong Hwa Lee; Deanna S Asakawa; Jack T Dennerlein; Devin L Jindrich
Journal:  Ann Biomed Eng       Date:  2014-10-04       Impact factor: 3.934

Review 6.  Muscle-tendon unit scaling methods of Hill-type musculoskeletal models: An overview.

Authors:  Frederik Heinen; Morten E Lund; John Rasmussen; Mark de Zee
Journal:  Proc Inst Mech Eng H       Date:  2016-07-25       Impact factor: 1.617

7.  Real-time simulation of hand motion for prosthesis control.

Authors:  Dimitra Blana; Edward K Chadwick; Antonie J van den Bogert; Wendy M Murray
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-11-20       Impact factor: 1.763

8.  Key pinch force in children.

Authors:  Luc De Smet; Arne Decramer
Journal:  J Pediatr Orthop B       Date:  2006-11       Impact factor: 1.041

9.  Influence of age, gender, education and dexterity on upper limb motor performance in Parkinsonian patients and healthy controls.

Authors:  C N Homann; F Quehenberger; K Petrovic; H P Hartung; E Ruzicka; B Homann; K Suppan; K Wenzel; G Ivanic; E Ott
Journal:  J Neural Transm (Vienna)       Date:  2003-08       Impact factor: 3.575

10.  Modeling of multiarticular muscles: importance of inclusion of tendon-pulley interactions in the finger.

Authors:  Sang Wook Lee; Derek G Kamper
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-07       Impact factor: 4.538

View more
  1 in total

1.  Analysis on synergistic cocontraction of extrinsic finger flexors and extensors during flexion movements: A finite element digital human hand model.

Authors:  Ying Lv; Qingli Zheng; Xiubin Chen; Chunsheng Hou; Meiwen An
Journal:  PLoS One       Date:  2022-05-11       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.