Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy.

Journal: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Published Date: Feb 16, 2021

Abstract

BACKGROUND: Recovery of hand function after stroke represents the hardest target for clinicians. Robot-assisted therapy has been proved to be effective for hand recovery. Nevertheless, studies aimed to refer patients to the best therapy are missing.

Authors

  • Francesca Baldan
    Laboratory of Rehabilitation Technologies, IRCCS San Camillo Hospital, Venice, Italy. Electronic address: francesca.baldan@ospedalesancamillo.net.
  • Andrea Turolla
    Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, Bologna, Italy.
  • Daniele Rimini
    Medical Physics Department, Salford Royal NHS Foundation Trust, Salford, UK.
  • Giorgia Pregnolato
    Laboratory of Rehabilitation Technologies, IRCCS San Camillo Hospital, Venice, Italy.
  • Lorenza Maistrello
    Laboratory of Rehabilitation Technologies, IRCCS San Camillo Hospital, Venice, Italy.
  • Michela Agostini
    IRCCS San Camillo, Venice, Italy.
  • Iris Jakob
    Department of Research and Innovation, Tyromotion GmbH, Bahnhofgürtel 59, 8020 Graz, Austria(∗). Electronic address: Iris.jakob@tyromotion.com.

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