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An automated neck flexibility tester.

David J Tack1, Sorin Siegler, Moshe Kam

  • 1Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

IEEE Transactions on Bio-Medical Engineering
|April 11, 2002
PubMed
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We explored automation and control for the neck flexibility tester (NFT) to study spine mechanics. PID control is recommended for its simplicity and robustness in dynamic loading simulations.

Area of Science:

  • Biomechanics
  • Robotics and Control Systems

Background:

  • The neck flexibility tester (NFT) measures human cervical spine flexibility.
  • There is a need for devices to study spinal mechanical properties under dynamic loading.

Purpose of the Study:

  • To investigate automation and control strategies for the NFT.
  • To establish foundations for devices enabling dynamic spine mechanical studies.

Main Methods:

  • Derived equations of motion for an automated NFT (ANFT) using Lagrangian formulation.
  • Simulated the ANFT model using Simulink.
  • Evaluated Proportional-Integral-Derivative (PID) control and dynamic inversion for setpoint and tracking control.

Main Results:

  • PID control demonstrated simplicity and relative insensitivity to the ANFT's dynamic model.

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  • Dynamic inversion was also simulated, but PID showed practical advantages.

    • Conclusions:

    • PID control is a preferred method for automating the neck flexibility tester.
    • This work supports the development of advanced spinal biomechanical testing devices.