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Enregistrement W4404181077 · doi:10.33137/cpoj.v7i1.43827

ACTIVE, ACTUATED, AND ASSISTIVE: A SCOPING REVIEW OF EXOSKELETONS FOR THE HANDS AND WRISTS

2024· review· en· W4404181077 sur OpenAlexvenueaboutno aff
Angel Galbert, Arjan Buis

Notice bibliographique

RevueCanadian Prosthetics & Orthotics Journal · 2024
Typereview
Langueen
DomaineMedicine
ThématiqueStroke Rehabilitation and Recovery
Établissements canadiensnon disponible
Organismes subventionnairesEngineering and Physical Sciences Research Council
Mots-clésExoskeletonAssistive devicePhysical medicine and rehabilitationComputer scienceMedicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Assistive technology is often incorporated into rehabilitation and support for those impacted by upper limb impairments. When powered, these devices provide additional force to the joints of users with muscle weakness. Actuated devices allow dynamic movement compared to splints, therefore improving the ability to complete activities of daily living. However, these devices are not often prescribed and are underrepresented in research and clinical settings. OBJECTIVE: This review examines the current body of literature concerning devices designed to aid the hands and wrists in daily activities. Focusing on active, powered, and actuated devices, to gain a clearer understanding of the current limitations in their design and prescription. METHODOLOGY: The scoping review was conducted using the PRISMA-ScR guidelines. A systematic search was done on MEDLINE, EMBASE, Scopus, Web of Science, and NHS the Knowledge Network from inception to May 2023. Articles were included if the device was portable; supported the hands and wrist actively using an actuator; and could be used for assistive living during or post-rehabilitation period. FINDINGS: A total of 135 studies were included in the analysis of which 34 were clinical trials. The design and control methods of 121 devices were analyzed. Electrical stimulation and direct mechanical transmission were popular actuation methods. Electromyography (EMG) and joint movement detection were highly used control methods to translate user intentions to device actuation. A total of 226 validation methods were reported, of which 44% were clinically validated. Studies were often not conducted in operational environments with 69% at technology readiness levels ≤ 6, indicating that further development and testing is required. CONCLUSION: The existing literature on hand and wrist exoskeletons presents large variations in validation methods and technical requirements for user-specific characteristics. This suggests a need for well-defined testing protocols and refined reporting of device designs. This would improve the significance of clinical outcomes and new assistive technology. Layman's Abstract Assistive devices are often incorporated into rehabilitation and support for those impacted by upper limb impairments. When powered, these devices provide additional force for users with muscle weakness. Unlike splints, these devices do not constrict movement, therefore improving the ability to complete activities of daily living. However, these devices are rarely prescribed or presented in research and clinical settings. This review examines the current literature concerning powered devices that aid the hands and wrists to investigate who uses them, how they are designed and how they are validated. The scoping review was conducted using a validated guideline. A systematic search was done on 5 databases up to May 2023. Articles were included if the device was portable; supported the hands and wrist using motors; and could be used for everyday tasks. A total of 135 studies were included in the analysis, of which 34 were clinical trials. The design and method of device function of 121 devices were analysed. Muscle and joint movement detection were highly used to control device movement. A total of 226 validation methods were reported, of which 44% were clinically validated. Studies were often conducted in research and clinical environments (69%) rather than at home settings. In conclusion, existing literature on hand and wrist exoskeletons presents large variations in design, control methods and validation practices. This suggests a need for well-defined testing protocols. This would improve the significance of clinical outcomes of new assistive technology. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/43827/33279 How To Cite: Galbert A, Buis A. Active, actuated, and assistive: A scoping review of exoskeletons for the hands and wrists. Canadian Prosthetics & Orthotics Journal. 2024; Volume 7, Issue 1, No.9. https://doi.org/10.33137/cpoj.v7i1.43827 Corresponding Author: Professor Arjan Buis, PhDDepartment of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, Scotland.E-Mail: arjan.buis@strath.ac.ukORCID ID: https://orcid.org/0000-0003-3947-293X

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,757
Score d'incertitude au seuil0,899

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,381
Écart entre enseignants0,339 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2024
Routes d'admission2
Résumé présentoui

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