Object stiffness recognition and vibratory feedback without

Hannes prosthetic hand closed-loop control non-linear logistic regression stiffness recognition vibromotor vibrotactile feedback

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2023
Historique:
received: 24 10 2022
accepted: 24 01 2023
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 7 3 2023
Statut: epublish

Résumé

In recent years, hand prostheses achieved relevant improvements in term of both motor and functional recovery. However, the rate of devices abandonment, also due to their poor embodiment, is still high. The embodiment defines the integration of an external object - in this case a prosthetic device - into the body scheme of an individual. One of the limiting factors causing lack of embodiment is the absence of a direct interaction between user and environment. Many studies focused on the extraction of tactile information Based on these initial findings, this work presents the design, implementation and clinical validation of a novel real-time stiffness detection strategy, without The classifier achieved excellent performance in terms of F1Score (94.93%). Further, the able-bodied subjects and amputees were able to successfully detect the objects' stiffness with a F1Score of 94.08% and 86.41%, respectively, by using our proposed feedback strategy. This strategy allowed amputees to quickly recognize the objects' stiffness (response time of 2.82 s), indicating high intuitiveness, and it was overall appreciated as demonstrated by the questionnaire. Furthermore, an embodiment improvement was also obtained as highlighted by the proprioceptive drift toward the prosthesis (0.7 cm).

Identifiants

pubmed: 36875662
doi: 10.3389/fnins.2023.1078846
pmc: PMC9978002
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1078846

Informations de copyright

Copyright © 2023 Bruni, Marinelli, Bucchieri, Boccardo, Caserta, Di Domenico, Barresi, Florio, Canepa, Tessari, Laffranchi and De Michieli.

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.

Références

Neuron. 2018 Oct 10;100(1):37-45.e7
pubmed: 30244887
J Rehabil Res Dev. 1989 Summer;26(3):53-62
pubmed: 2666644
J Neural Eng. 2019 Apr;16(2):026034
pubmed: 30736030
IEEE Trans Biomed Eng. 1991 Jan;38(1):1-16
pubmed: 2026426
Exp Brain Res. 2017 Aug;235(8):2547-2559
pubmed: 28550423
Expert Rev Med Devices. 2013 Jan;10(1):45-54
pubmed: 23278223
Med Biol Eng. 1976 May;14(3):289-94
pubmed: 940388
J Exp Psychol Hum Percept Perform. 2005 Feb;31(1):80-91
pubmed: 15709864
J Rehabil Med. 2012 Jul;44(8):702-7
pubmed: 22729800
IEEE Trans Neural Syst Rehabil Eng. 2016 Dec;24(12):1314-1322
pubmed: 26584497
IEEE Trans Neural Syst Rehabil Eng. 2013 Jan;21(1):112-20
pubmed: 23033439
Cognition. 2008 Jun;107(3):978-98
pubmed: 18262508
Prosthet Orthot Int. 2007 Dec;31(4):362-70
pubmed: 18050007
Front Neurosci. 2020 Mar 26;14:263
pubmed: 32273838
J Physiol. 1997 Aug 1;502 ( Pt 3):693-701
pubmed: 9279818
IEEE Robot Autom Lett. 2022 Jan;7(1):207-214
pubmed: 35784093
J Neuroeng Rehabil. 2017 Aug 14;14(1):82
pubmed: 28807038
J Neuroeng Rehabil. 2022 Jul 4;19(1):68
pubmed: 35787721
Disabil Rehabil Assist Technol. 2007 Nov;2(6):346-57
pubmed: 19263565
Sci Robot. 2020 Sep 23;5(46):
pubmed: 32967990
J Neuroeng Rehabil. 2020 Mar 10;17(1):43
pubmed: 32151268
Nat Mater. 2021 Jul;20(7):925-939
pubmed: 33859381
J Neural Eng. 2016 Oct;13(5):056015
pubmed: 27618968
Front Neurosci. 2020 Apr 27;14:348
pubmed: 32395102
Soft Robot. 2022 Dec;9(6):1220-1231
pubmed: 35275780
Front Neurosci. 2020 Jun 23;14:345
pubmed: 32655344
Expert Rev Med Devices. 2017 Jun;14(6):439-447
pubmed: 28532184
Sci Robot. 2016 Dec 6;1(1):
pubmed: 33157858
Front Neurosci. 2019 Aug 21;13:853
pubmed: 31496931
J Rehabil Res Dev. 2013;50(8):1123-8
pubmed: 24458898
IEEE Trans Neural Syst Rehabil Eng. 2014 Jan;22(1):53-61
pubmed: 23799698
IEEE Trans Haptics. 2016 Apr-Jun;9(2):196-206
pubmed: 27777640
J Neuroeng Rehabil. 2018 Mar 27;15(1):28
pubmed: 29580245
J Neural Eng. 2016 Aug;13(4):046014
pubmed: 27296902
Elife. 2016 Mar 08;5:e09148
pubmed: 26952132
J Neural Eng. 2021 Sep 23;18(5):
pubmed: 34479219
Prog Brain Res. 2011;192:69-81
pubmed: 21763519
J Neural Eng. 2019 Dec 05;17(1):016002
pubmed: 31610530
IEEE Trans Neural Syst Rehabil Eng. 2017 Mar;25(3):183-195
pubmed: 27071179
PLoS One. 2019 Jan 16;14(1):e0210956
pubmed: 30650161
Sci Robot. 2018 Jun 27;3(19):
pubmed: 32123782
IEEE Trans Neural Syst Rehabil Eng. 2022;30:1310-1320
pubmed: 35533165
Front Neurorobot. 2021 Aug 27;15:683653
pubmed: 34557082
Ann Biomed Eng. 2021 Jan;49(1):57-74
pubmed: 33140242
IEEE Trans Biomed Eng. 2012 Feb;59(2):400-8
pubmed: 22042125
J Neuroeng Rehabil. 2018 Jul 31;15(1):70
pubmed: 30064477
Front Neurosci. 2020 May 07;14:389
pubmed: 32477046

Auteurs

Giulia Bruni (G)

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

Andrea Marinelli (A)

Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Department of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, Genoa, Italy.

Anna Bucchieri (A)

Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Department of Electronics, Information and Bioengineering (NearLab), Politecnico of Milan, Milan, Italy.

Nicolò Boccardo (N)

Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
The Open University Affiliated Research Centre at Istituto Italiano di Tecnologia (ARC@IIT), Genoa, Italy.

Giulia Caserta (G)

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

Dario Di Domenico (D)

Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Department of Electronics and Telecommunications, Politecnico of Torino, Turin, Italy.

Giacinto Barresi (G)

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

Astrid Florio (A)

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

Michele Canepa (M)

Rehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
The Open University Affiliated Research Centre at Istituto Italiano di Tecnologia (ARC@IIT), Genoa, Italy.

Federico Tessari (F)

Newman Laboratory, Massachusetts Institute of Technology, Boston, MA, United States.

Matteo Laffranchi (M)

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

Lorenzo De Michieli (L)

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

Classifications MeSH