Medical Engineering & Physics
Volume 32, Issue 4 , Pages 339-348, May 2010

Metrological characterization of a cycle-ergometer to optimize the cycling induced by functional electrical stimulation on patients with stroke

  • Lorenzo Comolli

      Affiliations

    • Dipartimento di Meccanica, Politecnico di Milano, Via La Masa 1, Milano, Italy
    • Corresponding Author InformationCorresponding author. Tel.: +39 02 2399 8443.
  • ,
  • Simona Ferrante

      Affiliations

    • Neuroengineering and Medical Robotics Lab, Dipartimento di Bioingegneria, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milano, Italy
  • ,
  • Alessandra Pedrocchi

      Affiliations

    • Neuroengineering and Medical Robotics Lab, Dipartimento di Bioingegneria, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milano, Italy
  • ,
  • Marco Bocciolone

      Affiliations

    • Dipartimento di Meccanica, Politecnico di Milano, Via La Masa 1, Milano, Italy
  • ,
  • Giancarlo Ferrigno

      Affiliations

    • Neuroengineering and Medical Robotics Lab, Dipartimento di Bioingegneria, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milano, Italy
  • ,
  • Franco Molteni

      Affiliations

    • Valduce Hospital, Villa Beretta Rehabilitation Center, Via N. Sauro 17, Costamasnaga, LC, Italy

Received 1 July 2009; received in revised form 15 January 2010; accepted 18 January 2010. published online 22 February 2010.

Abstract 

Functional electrical stimulation (FES) is a well established method in the rehabilitation of stroke patients. Indeed, a bilateral movement such as cycling induced by FES would be crucial for these patients who had an unilateral motor impairment and had to recover an equivalent use of limbs. The aim of this study was to develop a low-cost metrologically qualified cycle-ergometer, optimized for patients with stroke. A commercial ergometer was instrumented with resistive strain gauges and was able to provide the torque produced at the right and left crank, independently. The developed system was integrated with a stimulator, obtaining a novel FES cycling device able to control in real-time the movement unbalance. A dynamic calibration of the sensors was performed and a total torque uncertainty was computed. The system was tested on a healthy subject and on a stroke patient. Results demonstrated that the proposed sensors could be successfully used during FES cycling sessions where the maximum torque produced is about 9Nm, an order of magnitude less than the torque produced during voluntary cycling. This FES cycling system will assist in future investigations on stroke rehabilitation by means of FES and in new exercise regimes designed specifically for patients with unilateral impairments.

Keywords: Cycle-ergometer, Wireless data transmission, Mechanical measurements, Data analysis, Rehabilitation, FES cycling, Hemiplegia

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PII: S1350-4533(10)00007-X

doi:10.1016/j.medengphy.2010.01.005

Medical Engineering & Physics
Volume 32, Issue 4 , Pages 339-348, May 2010