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Front. Neurol. | doi: 10.3389/fneur.2019.01078

An immersive motor protocol for frailty rehabilitation.

 Elisa Pedroli1*,  Pietro Cipresso1, 2,  Luca Greci3,  Sara Arlati3, 4, Lorenzo Boilini5, Laura Stefanelli5, Monica Rossi6, Karine Goulene5, Marco Sacco3,  Marco Stramba-Badiale5,  Andrea Gaggioli1, 7 and  Giuseppe Riva1, 2
  • 1Applied Technology for Neuro-Psychology Lab, Italian Auxological Institute (IRCCS), Italy
  • 2Department of Psychology, Catholic University of the Sacred Heart, Italy
  • 3Institute of Industrial Systems and Technologies for Advanced Manufacturing (CNR), Italy
  • 4Department of Electronics, Information and Bioengineering, Polytechnic of Milan, Italy
  • 5Department of Geriatrics and Cardiovascular Medicine, Italian Auxological Institute (IRCCS), Italy
  • 6Department of Geriatrics and Cardiovascular Medicine, I.R.C.C.S. Istituto Auxologico Italiano, Italy
  • 7Department of Psychology, Catholic University of the Sacred Heart, Rome, Italy

Frailty is a pre-clinical condition that worsens physical health and quality of life. One of the most frequent symptoms of frailty is an increased risk of falling. In order to reduce this risk, we propose an innovative virtual reality motor rehabilitation program based on an immersive tool. All exercises took place in the CAVE, a four-screen room with a stationary bike. The protocol includes two types of exercises for the improvement of balance: “Positive Bike” and “Avoid the Rocks.” We chose evaluation scales related to the functional aspects and subjective perception of balance. Our aim is to prove that our innovative motor rehabilitation protocol is as effective as or more effective than classical rehabilitation.

Keywords: motor rehabilitation, virtual reality, C.A.V.E., Frailty, Elderly, Stationary bike, balance, Risk of Fall, Psychometics, Computational psychometrics

Received: 09 Apr 2019; Accepted: 24 Sep 2019.

Copyright: © 2019 Pedroli, Cipresso, Greci, Arlati, Boilini, Stefanelli, Rossi, Goulene, Sacco, Stramba-Badiale, Gaggioli and Riva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Elisa Pedroli, Applied Technology for Neuro-Psychology Lab, Italian Auxological Institute (IRCCS), Milan, Lombardy, Italy,