Evidence map›Paper›PMID 29299220›Full record

ArticleEuropean journal of translational myology2017

The road to Cybathlon 2016 - Functional electrical stimulation cycling Team IRPT/SPZ.

Marco Laubacher, Efe Anil Aksöz, Ines Bersch, Kenneth James Hunt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of translational myology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. On the road to Cybathlon 2024: lessons learned from the Polimi FES-bike team.Journal of neuroengineering and rehabilitation · 2026
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  4. Review
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  6. Article
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  9. EJTM3 is also covering Mobility and Medicine at large, an update.European journal of translational myology · 2018
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Cycle Training Using Implanted Neural Prostheses: Team Cleveland.European journal of translational myology · 2017
    Article
  17. 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

4 authors.

Marco LaubacherInstitute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
Efe Anil AksözInstitute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
Ines BerschSwiss Paraplegic Centre Nottwil, Switzerland.
Kenneth James HuntInstitute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional electrical stimulation (FES) provides a good possibility to activate paralysed muscles and it has been shown to elicit substantial physiological and health benefits. For successful application of FES, a perfect symbiosis of the bike and the pilot has to be achieved. The road to the Cybathlon 2016 describes the different pieces needed for FES cycling in spinal cord injury. The systematic optimisation of the stimulation parameters and the Cybatrike, and sophisticated training contributed to the team's success as the fastest surface-electrode team in the competition.

Indexed as

CybathlonFunctional electrical stimulationrecumbent cyclingspinal cord injury

Identifiers

PMID29299220
PMCPMC5745389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.