Evidence map›Paper›PMID 41624133›Full record

ReviewFrontiers in neuroscience2025

Electrical stimulation in upper limb assistance: opportunities and challenges.

Nathan Routledge, Dingguo Zhang, Benjamin Metcalfe

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Nathan RoutledgeDepartment of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
Dingguo ZhangDepartment of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
Benjamin MetcalfeDepartment of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global rise in non-communicable diseases, alongside an aging population, is expected to increase the prevalence of motor impairments and, therefore, the need for assistive care. Upper limb impairments can significantly affect independent living and increase long-term care costs. Wearable assistive devices incorporating electrical stimulation (ES) offer a promising solution to support independence and help alleviate pressures on both formal and informal care provision. The development of hybrid systems, which integrate aspects of robotics and electrical stimulation, aim to overcome the limitations associated with single-modality devices. However, there is limited information on the most appropriate electrical stimulation protocols to use, or on what challenges may be faced in doing so. Correspondingly, this narrative review addresses this gap through assessing the role of electrical stimulation in upper limb assistive technology. By evaluating user requirements and identifying challenges with current stimulation strategies, this review highlights the potential benefits of exploring alternative protocols, beyond conventional functional electrical stimulation (FES) techniques, for upper limb assistance. In particular, addressing practical difficulties of stimulation is likely to be critical for successful user uptake and minimizing device abandonment. The paper subsequently reviews several stimulation strategies which may offer novel research directions and opportunities in the development of upper limb assistive technologies.

Indexed as

assistive technology (AT)electrical stimulation (ES)hybrid assistive devicesnerve stimulationneuromuscular stimulationneuroprosthesisupper limb (UL)

Identifiers

PMID41624133
PMCPMC12855526

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.