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The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach

Author

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  • Zoltán Zsigmond Major

    (Research Center for Advanced Medicine “MedFuture”, University of Medicine and Pharmacy “Iuliu Hatieganu” Cluj-Napoca, 400000 Cluj-Napoca, Romania
    Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania)

  • Calin Vaida

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Kinga Andrea Major

    (Second ICU, Neurosurgery Department, Cluj County Emergency Clinical Hospital, Strada Clinicilor 3–5, 400000 Cluj-Napoca, Romania)

  • Paul Tucan

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Gábor Simori

    (Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania)

  • Alexandru Banica

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Emanuela Brusturean

    (Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania)

  • Alin Burz

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Raul Craciunas

    (Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania)

  • Ionut Ulinici

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Giuseppe Carbone

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
    DIMEG, University of Calabria, Via Pietro Bucci, 87036 Arcavacata, Italy)

  • Bogdan Gherman

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Iosif Birlescu

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Doina Pisla

    (Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

Abstract

Motor disability is a key feature of many neurological diseases, influencing the social roles of affected patients and their ability to perform daily life activities. Current rehabilitation capacities are overwhelmed by the age-related increase of motor dysfunctions seen, for example, in stroke, extrapyramidal or neuromuscular diseases. As the patient to rehabilitation personnel ration increases, robotic solutions might establish the possibility to rapidly satisfy the increasing demand for rehabilitation. This paper presents an inaugural exploratory study which investigates the interchangeability of a novel experimental robotic rehabilitation device system with classical physical therapy, using a multimodal neurophysiological assessment of the motor system—quantitative electroencephalogram (EEG), motor conduction times and turn/amplitude analysis. Preliminary results show no significant difference between the two methods; however, a significant effect of the therapy was found on different pathologies (beneficial for vascular and extrapyramidal, or limited, and only on preventing reduction of joint movements in neuromuscular).

Suggested Citation

  • Zoltán Zsigmond Major & Calin Vaida & Kinga Andrea Major & Paul Tucan & Gábor Simori & Alexandru Banica & Emanuela Brusturean & Alin Burz & Raul Craciunas & Ionut Ulinici & Giuseppe Carbone & Bogdan G, 2020. "The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6557-:d:410979
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    References listed on IDEAS

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    1. Paul Tucan & Calin Vaida & Nicolae Plitea & Adrian Pisla & Giuseppe Carbone & Doina Pisla, 2019. "Risk-Based Assessment Engineering of a Parallel Robot Used in Post-Stroke Upper Limb Rehabilitation," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
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    Cited by:

    1. Paul Tucan & Calin Vaida & Ionut Ulinici & Alexandru Banica & Alin Burz & Nicoleta Pop & Iosif Birlescu & Bogdan Gherman & Nicolae Plitea & Tiberiu Antal & Giuseppe Carbone & Doina Pisla, 2021. "Optimization of the ASPIRE Spherical Parallel Rehabilitation Robot Based on Its Clinical Evaluation," IJERPH, MDPI, vol. 18(6), pages 1-19, March.

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