Evidence map›Paper›PMID 34744679›Full record

ArticleFrontiers in neurorobotics2021

Wearable Robots: An Original Mechatronic Design of a Hand Exoskeleton for Assistive and Rehabilitative Purposes.

Nicola Secciani, Chiara Brogi, Marco Pagliai, Francesco Buonamici, Filippo Gerli, Federica Vannetti, Massimo Bianchini, Yary Volpe, Alessandro Ridolfi

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nicola SeccianiDepartment of Industrial Engineering, University of Florence, Firenze, Italy.
Chiara BrogiDepartment of Industrial Engineering, University of Florence, Firenze, Italy.
Marco PagliaiDepartment of Industrial Engineering, University of Florence, Firenze, Italy.
Francesco BuonamiciDepartment of Industrial Engineering, University of Florence, Firenze, Italy.
Filippo GerliIRCCS Don Gnocchi, Don Carlo Gnocchi Foundation, Firenze, Italy.
Federica VannettiIRCCS Don Gnocchi, Don Carlo Gnocchi Foundation, Firenze, Italy.
Massimo BianchiniInstitute for Complex Systems, National Research Council, Sesto Fiorentino, Italy.
Yary VolpeDepartment of Industrial Engineering, University of Florence, Firenze, Italy.
Alessandro RidolfiDepartment of Industrial Engineering, University of Florence, Firenze, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic devices are being employed in more and more sectors to enhance, streamline, and augment the outcomes of a wide variety of human activities. Wearable robots arise indeed as of-vital-importance tools for telerehabilitation or home assistance targeting people affected by motor disabilities. In particular, the field of "Robotics for Medicine and Healthcare" is attracting growing interest. The development of such devices is a primarily addressed topic since the increasing number of people in need of rehabilitation or assistive therapies (due to population aging) growingly weighs on the healthcare systems of the nation. Besides, the necessity to move to clinics represents an additional logistic burden for patients and their families. Among the various body parts, the hand is specially investigated since it most ensures the independence of an individual, and thus, the restoration of its dexterity is considered a high priority. In this study, the authors present the development of a fully wearable, portable, and tailor-made hand exoskeleton designed for both home assistance and telerehabilitation. Its purpose is either to assist patients during activities of daily living by running a real-time intention detection algorithm or to be used for remotely supervised or unsupervised rehabilitation sessions by performing exercises preset by therapists. Throughout the mechatronic design process, special attention has been paid to the complete wearability and comfort of the system to produce a user-friendly device capable of assisting people in their daily life or enabling recorded home rehabilitation sessions allowing the therapist to monitor the state evolution of the patient. Such a hand exoskeleton system has been designed, manufactured, and preliminarily tested on a subject affected by spinal muscular atrophy, and some results are reported at the end of the article.

Indexed as

hand exoskeletonhome assistancemechatronics designroboticstelerehabilitationwearable robot

Identifiers

PMID34744679
PMCPMC8568131

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.