Evidence map›Paper›PMID 24981060›Full record

Trial reportJournal of neuroengineering and rehabilitation2014

The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study.

Katie L Meadmore, Timothy A Exell, Emma Hallewell, Ann-Marie Hughes, Chris T Freeman, Mustafa Kutlu, Valerie Benson, Eric Rogers, Jane H Burridge

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03016923 (An Evaluation of the Effectiveness of Functional Electrical Stimulation Paired With Intensive Therapy to Improve Hand Function in Children With Hemiplegic Cerebral Palsy), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
8.4field-weighted citation impact, top 2% 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.

NCT03016923 nacompletednot on this mapstarted 2016, after this paper: background citation

An Evaluation of the Effectiveness of Functional Electrical Stimulation Paired With Intensive Therapy to Improve Hand Function in Children With Hemiplegic Cerebral Palsy

TypeinterventionalSponsorHolland Bloorview Kids Rehabilitation HospitalRan2016 to 2017Enrolled3ConditionsCerebral PalsyArmsFES Therapy
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 103 citations in OpenAlex.

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  17. Iterative learning control with applications in energy generation, lasers and health care.Proceedings. Mathematical, physical, and engineering sciences · 2016
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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 at 1 institution in 1 country.

Katie L MeadmoreFaculty of Physical Sciences and Engineering, University of Southampton, Southampton, UK. klm@ecs.soton.ac.uk.
Timothy A Exell
Emma Hallewell
Ann-Marie Hughes
Chris T Freeman
Mustafa Kutlu
Valerie Benson
Eric Rogers
Jane H Burridge
University of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional electrical stimulation (FES) during repetitive practice of everyday tasks can facilitate recovery of upper limb function following stroke. Reduction in impairment is strongly associated with how closely FES assists performance, with advanced iterative learning control (ILC) technology providing precise upper-limb assistance. The aim of this study is to investigate the feasibility of extending ILC technology to control FES of three muscle groups in the upper limb to facilitate functional motor recovery post-stroke.

methodsFive stroke participants with established hemiplegia undertook eighteen intervention sessions, each of one hour duration. During each session FES was applied to the anterior deltoid, triceps, and wrist/finger extensors to assist performance of functional tasks with real-objects, including closing a drawer and pressing a light switch. Advanced model-based ILC controllers used kinematic data from previous attempts at each task to update the FES applied to each muscle on the subsequent trial. This produced stimulation profiles that facilitated accurate completion of each task while encouraging voluntary effort by the participant. Kinematic data were collected using a Microsoft Kinect, and mechanical arm support was provided by a SaeboMAS. Participants completed Fugl-Meyer and Action Research Arm Test clinical assessments pre- and post-intervention, as well as FES-unassisted tasks during each intervention session.

resultsFugl-Meyer and Action Research Arm Test scores both significantly improved from pre- to post-intervention by 4.4 points. Improvements were also found in FES-unassisted performance, and the amount of arm support required to successfully perform the tasks was reduced.

conclusionsThis feasibility study indicates that technology comprising low-cost hardware fused with advanced FES controllers accurately assists upper limb movement and may reduce upper limb impairments following stroke.

Indexed as

Recovery of FunctionStroke RehabilitationAdultBiomechanical PhenomenaElbowElectric Stimulation TherapyFeasibility StudiesFemaleHemiplegiaHumansMaleMiddle AgedShoulderStrokeUpper ExtremityWrist

Identifiers

PMID24981060
PMCPMC4094280
OpenAlexW2134481690

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.