Evidence map›Paper›PMID 34530839›Full record

ArticleJournal of neuroengineering and rehabilitation2021

SWADAPT1: assessment of an electric wheelchair-driving robotic module in standardized circuits: a prospective, controlled repeated measure design pilot study.

Emilie Leblong, Bastien Fraudet, Louise Devigne, Marie Babel, François Pasteau, Benoit Nicolas, Philippe Gallien

Abstract readControlled Clinical Trial
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. 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

7 authors.

Emilie LeblongPôle MPR St Hélier, 54 Rue St Hélier, 35043, Rennes Cedex, France.
Bastien FraudetPôle MPR St Hélier, 54 Rue St Hélier, 35043, Rennes Cedex, France. bastien.fraudet@pole-sthelier.com.ORCID 0000-0003-0472-4738
Louise DevigneInstitut National des Sciences Appliquées de Rennes-CNRS, Inria, Irisa-UMR6074, Rennes, France.
Marie BabelInstitut National des Sciences Appliquées de Rennes-CNRS, Inria, Irisa-UMR6074, Rennes, France.
François PasteauInstitut National des Sciences Appliquées de Rennes-CNRS, Inria, Irisa-UMR6074, Rennes, France.
Benoit NicolasPôle MPR St Hélier, 54 Rue St Hélier, 35043, Rennes Cedex, France.
Philippe GallienPôle MPR St Hélier, 54 Rue St Hélier, 35043, Rennes Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study is to highlight the effect of a robotic driver assistance module of powered wheelchair (PWC), using infrared sensors and accessorizing a commercial wheelchair) on the reduction of the number of collisions in standardized circuit in a population with neurological disorders by comparing driving performance with and without assistance.

methodsThis is a prospective, single-center, controlled, repeated measure design, single-blind pilot study including patients with neurological disabilities who are usual drivers of electric wheelchairs. The main criterion for evaluating the device is the number of collisions with and without the assistance of a prototype anti-collision system on three circuits of increasing complexity. Travel times, cognitive load, driving performance, and user satisfaction are also analyzed.

results23 Patients, 11 women and 12 men with a mean age of 48 years old completed the study. There was a statistically significant reduction in the number of collisions on the most complex circuit: 61% experienced collisions without assistance versus 39% with assistance (p = 0.038).

conclusionThis study concludes that the PWC driving assistance module is efficient in terms of safety without reducing the speed of movement in a population of people with disabilities who are habitual wheelchair drivers. The prospects are therefore to conduct tests on a target population with driving failure or difficulty who could benefit from this device so as to allow them to travel independently and safely.

Indexed as

Robotic Surgical ProceduresWheelchairsEquipment DesignFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesSingle-Blind MethodNeurological diseasesRehabilitationSmart wheelchair

Identifiers

PMID34530839
PMCPMC8447623

What OpenQuestion holds

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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.