Evidence map›Paper›PMID 37514633›Full record

ArticleSensors (Basel, Switzerland)2023

Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.

Rami Alhamad, Nitin Seth, Hussein A Abdullah

Open access · goldAbstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Rami AlhamadSchool of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
Nitin SethSchool of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
Hussein A AbdullahSchool of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-1716-3186
University of Guelph · CA

Funding

Natural Sciences and Engineering Research Council Discovery Grant No. 400697
6 · The paper itself

Abstract

The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for the loss of motor abilities in the fingers and thumb due to stroke are presented. This device has been developed in collaboration with physiotherapists who regularly treat individuals who have suffered from a stroke. The device was tested on healthy adults to ensure comfort, user accessibility, and repeatability for various hand sizes in preparation for obtaining permission from regulatory bodies and implementing the design in a full clinical trial. Trials were conducted with 52 healthy individuals ranging in age from 19 to 93 with an average age of 58. A comfort survey and force data ANOVA were performed to measure hand motions and ensure the repeatability and accessibility of the system. Readings from the force sensor (

Indexed as

Exoskeleton DeviceRoboticsStrokeStroke RehabilitationAdultAgedAged, 80 and overClinical Trials as TopicFingersHandHumansMiddle AgedYoung Adultexoskeleton devicehand rehabilitationlinear actuatorrehabilitation roboticsstroke rehabilitation

Identifiers

PMID37514633
PMCPMC10385738
OpenAlexW4384202280

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.