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Citation(s)

  •   Celadon N, Došen S, Binder I, Ariano P, Farina D
    Proportional estimation of finger movements from high-density surface electromyography. J Neuroeng Rehabil. 2016 Aug 4;13(1):73. doi: 10.1186/s12984-016-0172-3.
  •   Di Girolamo M, Celadon N, Appendino S, Turolla A
    and Ariano P. EMG-based biofeedback system for motor rehabilitation: A pilot study,. IEEE Biomedical Circuits and Systems Conference (BioCAS). 2017; pp. 1-4, doi: 10.1109/BIOCAS.2017.8325086.
  •   Maceira-Elvira P, Popa T, Schmid AC, Hummel FC
    Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment. J Neuroeng Rehabil. 2019 Nov 19;16(1):142. doi: 10.1186/s12984-019-0612-y. Review.
  •   Paleari M, Di Girolamo M, Celadon N, Favetto A, Ariano P
    On optimal electrode configuration to estimate hand movements from forearm surface electromyography. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6086-9. doi: 10.1109/EMBC.2015.7319780.
  •   Parker J, Powell L, Mawson S
    Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review. J Med Internet Res. 2020 Jan 8;22(1):e15981. doi: 10.2196/15981.

Effects of Hand MOtor Rehabilitation Using a sEMG-biofeedback, After Stroke: a Longitudinal Pilot Study

Details for clinical trial NCT05416619