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Scalability of the Muscular Action in a Parametric 3D Model of the Index Finger

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Abstract

A method for scaling the muscle action is proposed and used to achieve a 3D inverse dynamic model of the human finger with all its components scalable. This method is based on scaling the physiological cross-sectional area (PCSA) in a Hill muscle model. Different anthropometric parameters and maximal grip force data have been measured and their correlations have been analyzed and used for scaling the PCSA of each muscle. A linear relationship between the normalized PCSA and the product of the length and breadth of the hand has been finally used for scaling, with a slope of 0.01315 cm−2, with the length and breadth of the hand expressed in centimeters. The parametric muscle model has been included in a parametric finger model previously developed by the authors, and it has been validated reproducing the results of an experiment in which subjects from different population groups exerted maximal voluntary forces with their index finger in a controlled posture.

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Acknowledgments

This research has been supported by both the Spanish Government and the EU (FEDER funds) through the Project “PN I+D+I, PI021662.”

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Authors and Affiliations

  1. Departament d’Enginyeria Mecànica i Construcció, Universitat Jaume I, Campus de Riu Sec, E-12071, Castellό, Spain

    Joaquín L. Sancho-Bru, Margarita Vergara, Pablo-Jesús Rodríguez-Cervantes & Antonio Pérez-González

  2. National Hansen’s Disease Programs, Baton Rouge, LA, USA

    David J. Giurintano

Authors
  1. Joaquín L. Sancho-Bru
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  2. Margarita Vergara
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  3. Pablo-Jesús Rodríguez-Cervantes
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  4. David J. Giurintano
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  5. Antonio Pérez-González
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Correspondence to Joaquín L. Sancho-Bru.

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Sancho-Bru, J.L., Vergara, M., Rodríguez-Cervantes, PJ. et al. Scalability of the Muscular Action in a Parametric 3D Model of the Index Finger. Ann Biomed Eng 36, 102–107 (2008). https://doi.org/10.1007/s10439-007-9395-6

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  • DOI: https://doi.org/10.1007/s10439-007-9395-6

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