Sensors (Mar 2023)

ICEP: An Instrumented Cycling Ergometer Platform for the Assessment of Advanced FES Strategies

  • Petar Kajganic,
  • Vance Bergeron,
  • Amine Metani

DOI
https://doi.org/10.3390/s23073522
Journal volume & issue
Vol. 23, no. 7
p. 3522

Abstract

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Background: Functional electrical stimulation (FES) cycling has seen an upsurge in interest over the last decade. The present study describes the novel instrumented cycling ergometer platform designed to assess the efficiency of electrical stimulation strategies. The capabilities of the platform are showcased in an example determining the adequate stimulation patterns for reproducing a cycling movement of the paralyzed legs of a spinal cord injury (SCI) subject. Methods: Two procedures have been followed to determine the stimulation patterns: (1) using the EMG recordings of the able-bodied subject; (2) using the recordings of the forces produced by the SCI subject’s stimulated muscles. Results: the stimulation pattern derived from the SCI subject’s force output was found to produce 14% more power than the EMG-derived stimulation pattern. Conclusions: the cycling platform proved useful for determining and assessing stimulation patterns, and it can be used to further investigate advanced stimulation strategies.

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