Trunk acceleration for neuroprosthetic control of standing: A pilot study

Raviraj Nataraj, Musa L. Audu, Robert F. Kirsch, Ronald J. Triolo

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This pilot study investigated the potential of using trunk acceleration feedback control of center of pressure (COP) against postural disturbances with a standing neuroprosthesis following paralysis. Artificial neural networks (ANNs) were trained to use three-dimensional trunk acceleration as input to predict changes in COP for able-bodied subjects undergoing perturbations during bipedal stance. Correlation coefficients between ANN predictions and actual COP ranged from 0.67 to 0.77. An ANN trained across all subject-normalized data was used to drive feedback control of ankle muscle excitation levels for a computer model representing a standing neuroprosthesis user. Feedback control reduced average upper-body loading during perturbation onset and recovery by 42% and peak loading fby 29% compared with optimal, constant excitation.

Original languageEnglish
Pages (from-to)85-92
Number of pages8
JournalJournal of Applied Biomechanics
Volume28
Issue number1
DOIs
StatePublished - Feb 2012

Keywords

  • Balance
  • Functional neuromuscular stimulation
  • Posture
  • Rehabilitation
  • Spinal cord injury

Fingerprint

Dive into the research topics of 'Trunk acceleration for neuroprosthetic control of standing: A pilot study'. Together they form a unique fingerprint.

Cite this