Evidence map›Paper›PMID 37299781›Full record

ReviewSensors (Basel, Switzerland)2023

Will Your Next Therapist Be a Robot?-A Review of the Advancements in Robotic Upper Extremity Rehabilitation.

Raouf Fareh, Ammar Elsabe, Mohammed Baziyad, Tunajjina Kawser, Brahim Brahmi, Mohammad H Rahman

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Robotics in Physical Rehabilitation: Systematic Review.Healthcare (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Article
  6. 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

6 authors.

Raouf FarehDepartment of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates.ORCID 0000-0002-6289-3049
Ammar ElsabeDepartment of Computer Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates.ORCID 0000-0001-9082-9725
Mohammed BaziyadResearch Institute of Sciences and Engineering (RISE), University of Sharjah, Sharjah 27272, United Arab Emirates.ORCID 0000-0003-0272-2659
Tunajjina KawserAnatomy Department, Shaheed Tajuddin Ahmad Medical College, Gazipur 1700, Bangladesh.
Brahim BrahmiDepartment of Electrical Engineering, College of Ahuntsic, Montreal, QC H2M 1Y8, Canada.ORCID 0000-0002-4486-0710
Mohammad H RahmanMechanical Engineering, University of Wisconsin Milwaukee, Milwaukee, WI 53212, USA.ORCID 0000-0002-6370-8757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several recent studies have indicated that upper extremity injuries are classified as a top common workplace injury. Therefore, upper extremity rehabilitation has become a leading research area in the last few decades. However, this high number of upper extremity injuries is viewed as a challenging problem due to the insufficient number of physiotherapists. With the recent advancements in technology, robots have been widely involved in upper extremity rehabilitation exercises. Although robotic technology and its involvement in the rehabilitation field are rapidly evolving, the literature lacks a recent review that addresses the updates in the robotic upper extremity rehabilitation field. Thus, this paper presents a comprehensive review of state-of-the-art robotic upper extremity rehabilitation solutions, with a detailed classification of various rehabilitative robots. The paper also reports some experimental robotic trials and their outcomes in clinics.

Indexed as

Exercise TherapyRoboticsHumansUpper Extremityexoskeletonrehabilitationreviewrobotsupper extremity

Identifiers

PMID37299781
PMCPMC10255591

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.