Evidence map›Paper›PMID 42192443›Full record

ArticleJournal of neuroengineering and rehabilitation2026

FES-Cycling at the Cybathlon 2024: assessing accuracy of power-pedals for low power output in a virtual race scenario.

Martin Schmoll, Anna Pataraia, Quang Nguyen, Bernhard Rosenauer, Erik Kornfellner, Renske S de Boer, Thomas P A Rijnbeek, Emilia Ambrosini, Nicole Sanna, Efe Anil Aksöz and 7 more

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Martin SchmollCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria. martin.schmoll@meduniwien.ac.at.ORCID http://orcid.org/0000-0001-6354-3879
Anna PataraiaDepartment of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-6332-3737
Quang NguyenCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0009-0005-2052-0577
Bernhard RosenauerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0009-0005-2697-6671
Erik KornfellnerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-5656-7063
Renske S de BoerPULSE Racing Team, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID http://orcid.org/0009-0009-3025-4515
Thomas P A RijnbeekPULSE Racing Team, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-2954-1612
Emilia AmbrosiniNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID http://orcid.org/0000-0002-6527-0779
Nicole SannaDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.ORCID http://orcid.org/0009-0004-4663-0283
Efe Anil AksözRehaLab, Institute for Human Centred Engineering, Bern University of Applied Sciences, Bern, Switzerland.ORCID http://orcid.org/0000-0002-2481-4215
Roberto de Souza BaptistaElectrical Engineering Graduate Program, University of Brasília, Brasília, Brazil.ORCID http://orcid.org/0000-0002-0228-6669
Henrique Resende MartinsGraduate Program in Electrical Engineering (PPGEE), Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0002-4879-1345
Matheus Marcondes de OliveiraNeuroDynamics Lab, Departmentof Electrical Engineering, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.ORCID http://orcid.org/0009-0004-8475-1406
Jozsef LaczkoFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.ORCID http://orcid.org/0000-0002-9770-0358
Amelita FodorFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.ORCID http://orcid.org/0009-0005-7464-9034
Winfried MayrCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-9648-3649
Richard CrevennaDepartment of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-9177-0101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Cybathlon is a unique international competition platform for evaluating assistive technologies under real-life conditions. In the most recent edition, the FES-Cycling discipline was conducted on stationary smart trainers (Wahoo Kickr) within a virtual race environment. Participants could use either the smart trainer or a pedal-based power meter as the primary power source. As both systems were not specifically designed for the very low power outputs typically generated during FES-Cycling, the outcomes of the competition require careful interpretation.

methodsThis work summarizes the FES-Cycling competition at the Cybathlon 2024 and evaluates the accuracy of pedal-based power meters used in the virtual race. Race performance data from ten pilots representing eight international teams were analyzed. Pedal-based power measurements were compared against a validated smart trainer during the competition. In addition, an assessment in a controlled environment was conducted to quantify pedal accuracy in the low-power range (< 25 W) using a crank-based power meter as reference. The influence of pedal mounting torque, ankle-orthosis mounting position, and crank-length compensation was systematically investigated.

resultsFour of the ten pilots completed the full virtual race distance of 1960 m within the 8-min time limit. Mean cycling speeds (7.8-19.5 km/h) exceeded those reported for the over-ground Cybathlon 2016 race. Analysis of valid race segments revealed substantial overestimation of pedal-based power relative to the smart trainer, with relative errors ranging from 14.7 to 66.6%. Additional accuracy measurements confirmed that pedal-based power was sensitive to mounting torque and particularly to ankle-orthosis position, with lateral displacement of the foot causing pronounced overestimation. Crank-length compensation reduced systematic bias, but residual errors and increased variability persisted at higher cadences.

conclusionCommercially available pedal-based power meters and stationary smart trainers are currently not well suited for reliable performance assessment in low-power FES-Cycling competitions within virtual race environments. While virtual formats offer clear logistical advantages, engaging training opportunities and rich performance data, traditional race formats should be reconsidered to better align with the functional goals of FES-Cycling. Future competitions should prioritize over-ground cycling, assessing externally observable outcomes such as distance and time, which may further enhance pilot motivation and public visibility.

Indexed as

BicyclingElectric Stimulation TherapyHumansCybathlonFES-cyclingFunctional electrical stimulation (FES)Power measurementSpinal cord injuryVirtual race environment

Identifiers

PMID42192443
PMCPMC13326049

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.