Evidence map›Paper›PMID 35684618›Full record

ArticleSensors (Basel, Switzerland)2022

Assessment of the Mechanical Support Characteristics of a Light and Wearable Robotic Exoskeleton Prototype Applied to Upper Limb Rehabilitation.

Manuel Andrés Vélez-Guerrero, Mauro Callejas-Cuervo, Juan C Álvarez, Stefano Mazzoleni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Assistance Robotics and Sensors.Sensors (Basel, Switzerland) · 2023
    Article
  2. 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

4 authors.

Manuel Andrés Vélez-GuerreroSoftware Research Group, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150002, Colombia.ORCID 0000-0002-2105-1742
Mauro Callejas-CuervoSoftware Research Group, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150002, Colombia.ORCID 0000-0001-9894-8737
Juan C ÁlvarezMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Computer and Systems Engineering, University of Oviedo, C/Pedro Puig Adam, 33203 Gijón, Spain.ORCID 0000-0002-8910-4855
Stefano MazzoleniDepartment of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.

Funding

Pedagogical and Technological University of Colombia Project number SGI 3161
6 · The paper itself

Abstract

Robotic exoskeletons are active devices that assist or counteract the movements of the body limbs in a variety of tasks, including in industrial environments or rehabilitation processes. With the introduction of textile and soft materials in these devices, the effective motion transmission, mechanical support of the limbs, and resistance to physical disturbances are some of the most desirable structural features. This paper proposes an evaluation protocol and assesses the mechanical support properties of a servo-controlled robotic exoskeleton prototype for rehabilitation in upper limbs. Since this prototype was built from soft materials, it is necessary to evaluate the mechanical behavior in the areas that support the arm. Some of the rehabilitation-supporting movements such as elbow flexion and extension, as well as increased muscle tone (spasticity), are emulated. Measurements are taken using the reference supplied to the system's control stage and then compared with an external high-precision optical tracking system. As a result, it is evidenced that the use of soft materials provides satisfactory outcomes in the motion transfer and support to the limb. In addition, this study lays the groundwork for a future assessment of the prototype in a controlled laboratory environment using human test subjects.

Indexed as

Exoskeleton DeviceElbowHumansMovementUpper Extremitydevice testingmechanical supportoptical motion captureoptical trackingrehabilitationrobotic exoskeletonssoft materialsupper limbswearable devices

Identifiers

PMID35684618
PMCPMC9185240

What OpenQuestion holds

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Registered trials

None linked

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.