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Modeling the postural disturbances caused by upper extremity movements.

R J Triolo1, K N Werner, R F Kirsch

  • 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|July 28, 2001
PubMed
Summary

A new 3D upper extremity model estimates arm movement impacts on posture. This biomechanical model accurately predicts forces and moments, aiding in evaluating postural disturbances.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Ergonomics

Background:

  • Estimating postural disturbances from arm movements is crucial for understanding human-computer interaction and injury prevention.
  • Existing models often lack the dynamic, three-dimensional (3-D) precision required for accurate analysis of upper extremity movements.

Purpose of the Study:

  • To design, validate, and apply a dynamic 3-D upper extremity model.
  • To accurately estimate postural disturbances generated by arm movements.
  • To calculate reaction forces and moments at the shoulder during arm motion.

Main Methods:

  • Developed a 3-D model with two links (upper and lower arms) and gimbal joints for shoulder and elbow.
  • Utilized individualized segment inertial parameters based on anthropometric measurements.

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  • Performed inverse dynamic analysis on recorded arm movements.
  • Validated the model against ground reaction loads using biomechanical force platforms.
  • Main Results:

    • The model demonstrated very good correlation between predicted and measured reaction forces and moments.
    • Average root-mean-square errors were less than 8% of measured peak-to-peak values across all subjects and conditions.
    • Applied the model to bimanual activities, yielding consistent estimates for postural disturbance evaluation.

    Conclusions:

    • The dynamic 3-D upper extremity model is a validated and effective tool for estimating postural disturbances.
    • The model's accuracy supports its application in functional movement analysis and ergonomic assessments.
    • This research provides a robust method for quantifying the biomechanical impact of arm movements on overall body posture.