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

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Title: FES-Cycling at the Cybathlon 2024: assessing accuracy of power-pedals for low power output in a virtual race scenario.
Authors: Schmoll M; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria. martin.schmoll@meduniwien.ac.at., Pataraia A; Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Musculoskeletal Disorders, Medical University of Vienna, Vienna, Austria., Nguyen Q; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria., Rosenauer B; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria., Kornfellner E; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria., de Boer RS; PULSE Racing Team, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands., Rijnbeek TPA; PULSE Racing Team, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands., Ambrosini E; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy., Sanna N; Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy., Aksöz EA; RehaLab, Institute for Human Centred Engineering, Bern University of Applied Sciences, Bern, Switzerland., de Souza Baptista R; Electrical Engineering Graduate Program, University of Brasília, Brasília, Brazil., Martins HR; Graduate Program in Electrical Engineering (PPGEE), Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil., de Oliveira MM; NeuroDynamics Lab, Departmentof Electrical Engineering, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil., Laczko J; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.; Deptartment of Computational Sciences, HUN-REN Wigner Research Centre for Physics, Budapest, Hungary., Fodor A; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.; Deptartment of Computational Sciences, HUN-REN Wigner Research Centre for Physics, Budapest, Hungary., Mayr W; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.; Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria., Crevenna R; Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.; Comprehensive Center for Musculoskeletal Disorders, Medical University of Vienna, Vienna, Austria.
Source: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2026 May 26; Vol. 23 (1). Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Electronic Cited Medium: Internet ISSN: 1743-0003 (Electronic) Linking ISSN: 17430003 NLM ISO Abbreviation: J Neuroeng Rehabil Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1743-0003
DOI:10.1186/s12984-026-02025-3