Electromyographic Indices of Muscle Fatigue of a Severely Paralyzed Chronic Stroke Patient Undergoing Upper Limb Motor Rehabilitation

Andreas Markus Ray1, Aurélien Maillot2, Florian Helmhold3, Wala Jaser Mahmoud4, Eduardo López-Larraz4, Ander Ramos-Murguialday5

  • 1Tuebingen University
  • 2EPFL Lausanne
  • 3University of Tuebingen
  • 4University of Tübingen
  • 5Eberhard Karls University of Tubingen/TECNALIA

Details

16:30 - 18:30 | Thu 21 Mar | Grand Ballroom B | ThPO.32

Session: Poster Session I

Abstract

Modern approaches to motor rehabilitation of severe upper limb paralysis in chronic stroke decode movements from electromyography for controlling rehabilitation orthoses. Muscle fatigue is a phenomenon that influences these neurophysiological signals and may diminish the decoding quality. Characterization of these potential signal changes during movement patterns of rehabilitation training could therefore help improve the decoding accuracy. In the present work we investigated how electromyographic indices of muscle fatigue in the Deltoid Anterior muscle evolve during typical forward reaching movements of a rehabilitation training in healthy subjects and a stroke patient. We found that muscle fatigue in healthy subjects changed the neurophysiological signal. In the patient, however, no consistent change was observed over several sessions.