Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments.

SWOT augmented reality digital health multiple sclerosis rehabilitation robotics virtual reality

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2024
Historique:
received: 08 11 2023
accepted: 30 01 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 19 4 2024
Statut: epublish

Résumé

The robotics discipline is exploring precise and versatile solutions for upper-limb rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic systems to help combat the complexities of this disease, which can impair the ability to perform activities of daily living (ADLs). In order to present the potential and the limitations of smart mechatronic devices in the mentioned clinical domain, this review is structured to propose a concise SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of robotic rehabilitation in MS. Through the SWOT Analysis, a method mostly adopted in business management, this paper addresses both internal and external factors that can promote or hinder the adoption of upper-limb rehabilitation robots in MS. Subsequently, it discusses how the synergy with another category of interaction technologies - the systems underlying virtual and augmented environments - may empower Strengths, overcome Weaknesses, expand Opportunities, and handle Threats in rehabilitation robotics for MS. The impactful adaptability of these digital settings (extensively used in rehabilitation for MS, even to approach ADL-like tasks in safe simulated contexts) is the main reason for presenting this approach to face the critical issues of the aforementioned SWOT Analysis. This methodological proposal aims at paving the way for devising further synergistic strategies based on the integration of medical robotic devices with other promising technologies to help upper-limb functional recovery in MS.

Identifiants

pubmed: 38638271
doi: 10.3389/frobt.2024.1335147
pii: 1335147
pmc: PMC11025362
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1335147

Informations de copyright

Copyright © 2024 Albanese, Bucchieri, Podda, Tacchino, Buccelli, De Momi, Laffranchi, Mannella, Holmes, Zenzeri, De Michieli, Brichetto and Barresi.

Déclaration de conflit d'intérêts

GA and JZ were employed by ReWing s r l. The remaining 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.

Références

Palliat Med. 2019 Sep;33(8):1106-1113
pubmed: 31250734
Med Biol Eng Comput. 2011 Oct;49(10):1213-23
pubmed: 21796422
Brain. 2022 Sep 14;145(9):3147-3161
pubmed: 35104840
J Clin Med. 2023 Feb 27;12(5):
pubmed: 36902665
Sensors (Basel). 2020 Apr 11;20(8):
pubmed: 32290517
NPJ Digit Med. 2022 Apr 12;5(1):48
pubmed: 35413988
Int J Neurosci. 2019 Apr;129(4):369-383
pubmed: 30311823
Neurorehabil Neural Repair. 2007 May-Jun;21(3):273-8
pubmed: 17351084
Front Bioeng Biotechnol. 2021 Apr 15;9:652380
pubmed: 33937218
IEEE Comput Graph Appl. 2018 Mar;38(2):57-73
pubmed: 29672256
J Electromyogr Kinesiol. 2013 Feb;23(1):182-9
pubmed: 23141481
J Clin Med. 2021 May 26;10(11):
pubmed: 34073464
Brain Sci. 2021 Feb 02;11(2):
pubmed: 33540640
Brain Pathol. 2015 Jan;25(1):79-98
pubmed: 25521179
PLoS One. 2016 Oct 11;11(10):e0164511
pubmed: 27727321
Exp Brain Res. 2010 May;202(4):809-24
pubmed: 20186402
J Stroke Cerebrovasc Dis. 2020 Aug;29(8):104994
pubmed: 32689601
Neurorehabil Neural Repair. 2011 Sep;25(7):636-44
pubmed: 21444654
Games Health J. 2023 Jun;12(3):211-219
pubmed: 35972381
Phys Ther. 1983 Oct;63(10):1606-10
pubmed: 6622535
Phys Ther. 1987 Feb;67(2):206-7
pubmed: 3809245
Front Med Technol. 2021 Nov 11;3:780090
pubmed: 35047969
Expert Rev Med Devices. 2010 Nov;7(6):753-8
pubmed: 21050086
Annu Rev Biomed Eng. 2004;6:497-525
pubmed: 15255778
J Neurophysiol. 2005 May;93(5):2809-21
pubmed: 15625094
Neurobiol Learn Mem. 2000 Jul;74(1):27-55
pubmed: 10873519
J Clin Med. 2023 Apr 30;12(9):
pubmed: 37176662
JMIR Serious Games. 2022 Sep 12;10(3):e36288
pubmed: 36094809
Medicina (Kaunas). 2021 May 30;57(6):
pubmed: 34070705
Med Eng Phys. 2012 Apr;34(3):261-8
pubmed: 22051085
Neurology. 2014 Jul 15;83(3):278-86
pubmed: 24871874
Trials. 2020 Aug 12;21(1):713
pubmed: 32787896
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
Appl Ergon. 2018 May;69:153-161
pubmed: 29477323
NPJ Digit Med. 2020 Sep 14;3:119
pubmed: 33015372
Eur J Med Res. 2023 Jul 26;28(1):254
pubmed: 37491303
Front Immunol. 2023 Apr 06;14:1168821
pubmed: 37090712
BMC Neurol. 2022 Jan 11;22(1):21
pubmed: 35016629
Assist Technol. 2006 Fall;18(2):181-95
pubmed: 17236477
Clin Med Res. 2003 Jan;1(1):57-60
pubmed: 15931287
J Clin Neurosci. 2021 Oct;92:11-16
pubmed: 34509235
Med Biol Eng Comput. 2022 Jan;60(1):249-261
pubmed: 34822120
Neurol Clin. 2005 Feb;23(1):1-15, v
pubmed: 15661085
Sensors (Basel). 2021 Mar 16;21(6):
pubmed: 33809721
Ann R Coll Surg Engl. 2004 Sep;86(5):334-8
pubmed: 15333167
BMC Health Serv Res. 2022 Apr 20;22(1):523
pubmed: 35443710
Genome. 2021 Apr;64(4):416-425
pubmed: 33091314
PLoS One. 2023 Mar 10;18(3):e0282925
pubmed: 36897863
J Neurophysiol. 2004 Jan;91(1):230-8
pubmed: 13679403
Lancet Neurol. 2005 Oct;4(10):618-26
pubmed: 16168930
Am J Occup Ther. 1971 Mar;25(2):77-83
pubmed: 5551515
Cochrane Database Syst Rev. 2008 Oct 08;(4):CD003164
pubmed: 18843641
Health Qual Life Outcomes. 2023 Feb 21;21(1):18
pubmed: 36810124
Front Hum Neurosci. 2023 Mar 16;17:1139316
pubmed: 37007676
Biosensors (Basel). 2022 Dec 06;12(12):
pubmed: 36551100
J Neural Eng. 2020 Jul 13;17(4):046004
pubmed: 32521522
IEEE Trans Vis Comput Graph. 2023 Nov;29(11):4666-4675
pubmed: 37788203
NPJ Digit Med. 2019 May 13;2:38
pubmed: 31304384

Auteurs

Giulia A Albanese (GA)

ReWing s.r.l., Milan, Italy.

Anna Bucchieri (A)

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Jessica Podda (J)

Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.

Andrea Tacchino (A)

Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.

Stefano Buccelli (S)

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.

Elena De Momi (E)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Matteo Laffranchi (M)

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.

Kailynn Mannella (K)

Department of Kinesiology, Brock University, St. Catharines, ON, Canada.

Michael W R Holmes (MWR)

Department of Kinesiology, Brock University, St. Catharines, ON, Canada.

Jacopo Zenzeri (J)

ReWing s.r.l., Milan, Italy.

Lorenzo De Michieli (L)

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.

Giampaolo Brichetto (G)

Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
AISM Rehabilitation Center Liguria, Italian Multiple Sclerosis Society (AISM), Genoa, Italy.

Giacinto Barresi (G)

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.

Classifications MeSH