Trunk Acceleration for Neuroprosthetic Control of Standing: A Pilot Study

in Journal of Applied Biomechanics
View More View Less
  • 1 Louis Stokes VAMC, Cleveland
  • | 2 Case Western Reserve University
Restricted access

Purchase article

USD  $24.95

Student 1 year online subscription

USD  $90.00

1 year online subscription

USD  $120.00

Student 2 year online subscription

USD  $172.00

2 year online subscription

USD  $229.00

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.

Raviraj Nataraj (Corresponding Author), Musa L. Audu, and Ronald J. Triolo are with Louis Stokes VAMC, Cleveland, OH. Robert F. Kirsch is with the Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.