Using robotic mechanical perturbations for enhanced balance assessment.

Journal: Medical engineering & physics
Published Date:

Abstract

Balance impairment is critical for many patient groups such as those with neural and musculoskeletal disorders and also the elderly. Accurate and objective assessment of balance performance has led to the development of several indices based on the measurement of the center of pressure. In this study, a robotic device was designed and fabricated to provide controlled and repeatable mechanical perturbations to the standing platform of the user. The device uses servo-controlled actuators and two parallel mechanisms to provide independent rotations in mediolateral and anterior-posterior directions. The device also provides visual feedback of the center of pressure position to the user. Functional tests were run and showed that the device is able to provide an appropriate dynamics (time constant of 0.19 s and bandwidth of 0.85 Hz) for the two motions. The efficacy of the device on the balance assessment was then evaluated experimentally. Ten healthy subjects performed a balance task with and without perturbations and seven center of pressure indices were measured. It was shown that the sensitivity of the indices to the user's performance was statistically increased in all indices particularly in anterior/posterior direction when the mechanical perturbations were present.

Authors

  • Adel Baselizadeh
    Mechanical Engineering, Sharif University of Technology, Tehran, Iran; Djavad Mowafaghian Research Center for Intelligent Neuro-rehabilitation Technologies, Tehran, Iran.
  • Amir Behjat
    Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY.
  • Ali Torabi
    Mechanical Engineering, Sharif University of Technology, Tehran, Iran; Djavad Mowafaghian Research Center for Intelligent Neuro-rehabilitation Technologies, Tehran, Iran.
  • Saeed Behzadipour
    Mechanical Engineering, Sharif University of Technology, Tehran, Iran; Djavad Mowafaghian Research Center for Intelligent Neuro-rehabilitation Technologies, Tehran, Iran. Electronic address: behzadipour@sharif.edu.