Evidence map›Paper›PMID 31516730›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

A foot drop compensation device based on surface multi-field functional electrical stimulation-Usability study in a clinical environment.

Eukene Imatz-Ojanguren, Gema Sánchez-Márquez, Jose Ramón Asiain-Aristu, Joxean Cueto-Mendo, Edurne Jaunarena-Goicoechea, Haritz Zabaleta, Thierry Keller

Abstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. 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
–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

3 citing papers in PubMed.

  1. NeuroSkinSensors (Basel, Switzerland) · 2025
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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

7 authors.

Eukene Imatz-OjangurenTECNALIA, Health Division, Donostia-San Sebastián, Spain.ORCID https://orcid.org/0000-0001-5003-2594
Gema Sánchez-MárquezADACEN, Mutilva Baja, Spain.
Jose Ramón Asiain-AristuADACEN, Mutilva Baja, Spain.
Joxean Cueto-MendoADACEN, Mutilva Baja, Spain.
Edurne Jaunarena-GoicoecheaADACEN, Mutilva Baja, Spain.
Haritz ZabaletaTECNALIA, Health Division, Donostia-San Sebastián, Spain.
Thierry KellerTECNALIA, Health Division, Donostia-San Sebastián, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFunctional electrical stimulation applies electrical pulses to the peripheral nerves to artificially achieve a sensory/motor function. When applied for the compensation of foot drop it provides both assistive and therapeutic effects. Multi-field electrodes have shown great potential but may increase the complexity of these systems. Usability aspects should be checked to ensure their success in clinical environments.

methodsWe developed the Fesia Walk device, based on a surface multi-field electrode and an automatic calibration algorithm, and carried out a usability study to check the feasibility of integrating this device in therapeutic programs in clinical environments. The study included 4 therapists and 10 acquired brain injury subjects (8 stroke and 2 traumatic brain injury).

resultsTherapists and users were "very satisfied" with the device according to the Quebec User Evaluation of Satisfaction with Assistive Technology scale, with average scores of 4.1 and 4.2 out of 5, respectively. Therapists considered the Fesia Walk device as "excellent" according to the System Usability Scale with an average score of 85.6 out of 100.

conclusionsThis study showed us that it is feasible to include surface multi-field technology while keeping a device simple and intuitive for successful integration in common neurorehabilitation programs.

Indexed as

foot dropfunctional electrical stimulation (FES)multi-field electrodesneuroprosthesisstrokeUsability

Identifiers

PMID31516730
PMCPMC6724492

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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.