Integrating Tactile Feedback Technologies Into Home-Based Telerehabilitation: Opportunities and Challenges in Light of COVID-19 Pandemic.

assessment haptic neurorehabiliation somatosensory stroke training

Journal

Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958

Informations de publication

Date de publication:
2021
Historique:
received: 15 10 2020
accepted: 07 01 2021
entrez: 8 3 2021
pubmed: 9 3 2021
medline: 9 3 2021
Statut: epublish

Résumé

The COVID-19 pandemic has highlighted the need for advancing the development and implementation of novel means for home-based telerehabilitation in order to enable remote assessment and training for individuals with disabling conditions in need of therapy. While somatosensory input is essential for motor function, to date, most telerehabilitation therapies and technologies focus on assessing and training motor impairments, while the somatosensorial aspect is largely neglected. The integration of tactile devices into home-based rehabilitation practice has the potential to enhance the recovery of sensorimotor impairments and to promote functional gains through practice in an enriched environment with augmented tactile feedback and haptic interactions. In the current review, we outline the clinical approaches for stimulating somatosensation in home-based telerehabilitation and review the existing technologies for conveying mechanical tactile feedback (i.e., vibration, stretch, pressure, and mid-air stimulations). We focus on tactile feedback technologies that can be integrated into home-based practice due to their relatively low cost, compact size, and lightweight. The advantages and opportunities, as well as the long-term challenges and gaps with regards to implementing these technologies into home-based telerehabilitation, are discussed.

Identifiants

pubmed: 33679364
doi: 10.3389/fnbot.2021.617636
pmc: PMC7925397
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

617636

Informations de copyright

Copyright © 2021 Handelzalts, Ballardini, Avraham, Pagano, Casadio and Nisky.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Shirley Handelzalts (S)

Department of Physical Therapy, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel.

Giulia Ballardini (G)

Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.
S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy.

Chen Avraham (C)

Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er Sheva, Israel.

Mattia Pagano (M)

Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.
S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy.

Maura Casadio (M)

Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.
S.C.I.L Joint Lab, Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), Santa Corona Hospital, Pietra Ligure, Italy.

Ilana Nisky (I)

The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel.
Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er Sheva, Israel.

Classifications MeSH