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Distribution of grip force in three different functional prehension patterns.

C Pylatiuk1, A Kargov, S Schulz

  • 1Institute for Applied Computer Science, Forschungszentrum Karlsruhe GmbH, PO Box 3640, D-76021, Karlsruhe, Germany. pylatiuk@iai.fzk.de

Journal of Medical Engineering & Technology
|June 15, 2006
PubMed
Summary

This study measured handgrip force distribution during functional tasks. Findings reveal specific finger force patterns and gender differences, aiding in biomechanical modeling and ergonomic tool design.

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Area of Science:

  • Biomechanics
  • Human Factors Engineering
  • Ergonomics

Background:

  • Limited normative data exists for grip force distribution during functional tasks.
  • Accurate measurement of dynamic handgrip forces requires specialized small force sensors.
  • Understanding grip force is crucial for hand function evaluation and design.

Purpose of the Study:

  • To measure and analyze the distribution of handgrip forces during various functional prehension patterns.
  • To provide normative data for grip force distribution in healthy individuals.
  • To identify factors influencing grip force, such as task type and individual characteristics.

Main Methods:

  • Utilized small, custom-designed force sensors attached to the palmar surface of the hand.

Related Experiment Videos

  • Recruited seventeen healthy participants to perform three distinct functional tasks.
  • Recorded dynamic grip force distribution during cylindrical and spherical grasps, and a tip pinch task.

    • Main Results:

    • Highest grip forces were observed at the fingertips and thumb during cylindrical object manipulation.
    • Thumb, ring, and little fingers contributed over 71% of total grip force in a spherical grasp.
    • Peak local force of 9.9 N was recorded during a tip pinch task (zip closure).
    • Individual finger forces varied significantly by gender, but not by hand dimensions or age.

    Conclusions:

    • The study provides valuable normative data on handgrip force distribution for functional tasks.
    • Results inform biomechanical modeling of the hand and the design of ergonomic tool grips.
    • Findings contribute to a better understanding and evaluation of hand function, with implications for gender-specific considerations.