Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study.

Journal: JMIR aging
PMID: 39810317

Abstract

BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms. Recently, dance has started to be considered an effective intervention for people with PD. Several findings in the literature emphasize the necessity for deeper exploration into the synergistic impacts of dance therapy and exergaming for PD management. Moreover, socially engaging robotic platforms equipped with advanced interaction and perception features offer potential for monitoring patients' posture and enhancing workout routines with tailored cues.

Authors

  • Roberta Bevilacqua
    Laboratorio di Bioinformatica, Bioingegenria e Domotica, Istituto Nazionale di Riposo e Cura per Anziani, Ancona, Italy.
  • Elvira Maranesi
    Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy.
  • Marco Benadduci
    Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy.
  • Gabriella Cortellessa
    CNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies , Rome, Italy .
  • Alessandro Umbrico
    National Research Council-Institute of Sciences and Technologies for Cognition, Rome, Italy.
  • Francesca Fracasso
    CNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies , Rome, Italy .
  • Giovanni Melone
    Exprivia S.p.a., Innovation Lab, Innovation, Marketing & Technology, Molfetta, Italy.
  • Arianna Margaritini
    Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy.
  • Angela La Forgia
    Exprivia S.p.a., Innovation Lab, Innovation, Marketing & Technology, Molfetta, Italy.
  • Pierpaolo Di Bitonto
    Department of Soil, Plant and Food Science, University of Bari Aldo Moro, Bari, Italy.
  • Ada Potenza
    Grifo multimedia Srl, Bari, Italy.
  • Laura Fiorini
    The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa 56025, Italy. laura.fiorini@santannapisa.it.
  • Carlo La Viola
    Department of Industrial Engineering, University of Florence, Florence, Italy.
  • Filippo Cavallo
    The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa 56025, Italy. filippo.cavallo@santannapisa.it.
  • Alessandro Leone
    Institute for Microelectronics and Microsystems, National Research Council of Italy, Lecce 73100, Italy. Electronic address: alessandro.leone@cnr.it.
  • Andrea Caroppo
    Institute for Microelectronics and Microsystems, National Research Council of Italy, Lecce 73100, Italy. Electronic address: andrea.caroppo@cnr.it.
  • Gabriele Rescio
    National Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.
  • Mauro Marzorati
    Institute of Biomedical Technologies, National Research Council, Segrate, Italy.
  • Amedeo Cesta
    CNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies , Rome, Italy .
  • Giuseppe Pelliccioni
    Neurology Unit, IRCCS INRCA, Ancona, Italy.
  • Giovanni Renato Riccardi
    Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy.
  • Lorena Rossi
    Scientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.

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