Evidence map›Paper›PMID 37050582›Full record

ArticleSensors (Basel, Switzerland)2023

ICEP: An Instrumented Cycling Ergometer Platform for the Assessment of Advanced FES Strategies.

Petar Kajganic, Vance Bergeron, Amine Metani

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. On the road to Cybathlon 2024: lessons learned from the Polimi FES-bike team.Journal of neuroengineering and rehabilitation · 2026
    Article
  4. 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.

Petar KajganicUniv. Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France.
Vance BergeronUniv. Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France.
Amine MetaniUniv. Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional electrical stimulation (FES) cycling has seen an upsurge in interest over the last decade. The present study describes the novel instrumented cycling ergometer platform designed to assess the efficiency of electrical stimulation strategies. The capabilities of the platform are showcased in an example determining the adequate stimulation patterns for reproducing a cycling movement of the paralyzed legs of a spinal cord injury (SCI) subject.

methodsTwo procedures have been followed to determine the stimulation patterns: (1) using the EMG recordings of the able-bodied subject; (2) using the recordings of the forces produced by the SCI subject's stimulated muscles.

resultsthe stimulation pattern derived from the SCI subject's force output was found to produce 14% more power than the EMG-derived stimulation pattern.

conclusionsthe cycling platform proved useful for determining and assessing stimulation patterns, and it can be used to further investigate advanced stimulation strategies.

Indexed as

Electric Stimulation TherapySpinal Cord InjuriesElectric StimulationHumansLegMuscle, Skeletalcycling ergometerelectrical stimulation patternsFES cyclingfunctional electrical stimulation (FES)spinal cord injury (SCI)stimulation strategy assessment

Identifiers

PMID37050582
PMCPMC10099061

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.