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Different methods to estimate total power and its components during lifting.

M P de Looze1, J B Bussmann, I Kingma

  • 1Department of Health Science, Faculty of Human Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands.

Journal of Biomechanics
|September 1, 1992
PubMed
Summary

This study validates methods for estimating power during manual lifting. Three calculation approaches showed high agreement, confirming their validity for analyzing lifting mechanics and joint power.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Ergonomics

Background:

  • Understanding manual lifting is crucial for preventing injuries.
  • Accurate assessment of power production during lifting is essential for biomechanical analysis.
  • Existing methods for estimating power require validation.

Purpose of the Study:

  • To validate estimations of total power production and joint power during manual lifting.
  • To compare different methods of calculating power during lifting tasks.
  • To identify discrepancies in power calculations at the segmental level.

Main Methods:

  • Four subjects performed manual lifting of an 18.8 kg load.
  • Subjects were filmed using motion capture, and ground reaction forces were measured.

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  • Total generated power was calculated using three distinct methods: summation of joint powers, rate of change of summed segment energies, and rate of change of body energy from ground reaction forces.

    • Main Results:

    • Instantaneous power curves derived from the three methods demonstrated high agreement, supporting their validity.
    • Minor discrepancies were observed between the calculation methods.
    • Segmental link length changes during movement were identified as a primary cause for discrepancies between summed joint powers and summed segmental energy changes.

    Conclusions:

    • The validated methods provide reliable estimations of power production during manual lifting.
    • The findings contribute to a more fundamental understanding of lifting biomechanics.
    • Acknowledging segmental length changes is important for precise power flow analysis in human movement.