Evidence map›Paper›PMID 34450853›Full record

ArticleSensors (Basel, Switzerland)2021

Design, Development, and Testing of an Intelligent Wearable Robotic Exoskeleton Prototype for Upper Limb Rehabilitation.

Manuel Andrés Vélez-Guerrero, Mauro Callejas-Cuervo, Stefano Mazzoleni

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review.Archives of public health = Archives belges de sante publique · 2023
    Article
  11. Assistance Robotics and Sensors.Sensors (Basel, Switzerland) · 2023
    Article
  12. Review
  13. 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

3 authors at 2 institutions in 2 countries.

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
Stefano MazzoleniDepartment of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.
Pedagogical and Technological University of Colombia · COPolytechnic University of Bari · IT

Funding

Universidad Pedagógica y Tecnológica de Colombia Project number SGI 3161
6 · The paper itself

Abstract

Neuromotor rehabilitation and recovery of upper limb functions are essential to improve the life quality of patients who have suffered injuries or have pathological sequels, where it is desirable to enhance the development of activities of daily living (ADLs). Modern approaches such as robotic-assisted rehabilitation provide decisive factors for effective motor recovery, such as objective assessment of the progress of the patient and the potential for the implementation of personalized training plans. This paper focuses on the design, development, and preliminary testing of a wearable robotic exoskeleton prototype with autonomous Artificial Intelligence-based control, processing, and safety algorithms that are fully embedded in the device. The proposed exoskeleton is a 1-DoF system that allows flexion-extension at the elbow joint, where the chosen materials render it compact. Different operation modes are supported by a hierarchical control strategy, allowing operation in autonomous mode, remote control mode, or in a leader-follower mode. Laboratory tests validate the proper operation of the integrated technologies, highlighting a low latency and reasonable accuracy. The experimental result shows that the device can be suitable for use in providing support for diagnostic and rehabilitation processes of neuromotor functions, although optimizations and rigorous clinical validation are required beforehand.

Indexed as

Exercise TherapyExoskeleton DeviceWearable Electronic DevicesActivities of Daily LivingArtificial IntelligenceHumansUpper Extremityadaptive algorithmsartificial intelligence (AI)artificial neural networks (ANN)control strategieshealthcarerehabilitationrobotic exoskeletonsupper limbswearable devices

Identifiers

PMID34450853
PMCPMC8401039
OpenAlexW3188155617

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.