Reproducibility of Cycling Kinetics on an Ergometer Designed to Quantify Asymmetry

Cycling-based rehabilitation is a non-invasive intervention for individuals with lower limb asymmetries. However, current cycling devices lack comprehensive biomechanical feedback and cannot assess asymmetry. Our lab has developed a novel cycle ergometer equipped with three-dimensional force pedals, a seat post and handlebar force sensors, which allow for a comprehensive analysis of asymmetry across a fatiguing task. This study assessed the reproducibility of the cycling kinetics and asymmetry index derived from this device during incremental and constant load cycling tasks to volitional failure. Eighteen participants completed incremental and constant-load tests, each across two identical sessions. Pedal forces and power were analyzed for each leg individually, and handlebar forces and seat post mediolateral sway were recorded during cycling. Normalized symmetry index (NSI), a metric quantifying the degree of asymmetry between limbs, was calculated for each variable. The reproducibility of the device was assessed using repeated measures analysis of variance and intraclass correlation coefficients (ICC). No significant session or interaction effects were found for pedal, handlebar, and seat post measures (all <i>p</i> > 0.05). Time effects were observed for pedal force and power in the incremental test (all <i>p</i> < 0.001). NSI values were reproducible with high ICC values (≥0.70) for force and power. The results suggest that this ergometer offers reproducible cycling kinetics and asymmetry measures across a fatiguing task. The findings support the application of this ergometer in research and rehabilitation settings.

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Publication Details

Journal
Sensors
Published
2026-01-03
DOI
https://doi.org/10.3390/s26010320
Citations
1
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
29.71

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article

Reproducibility of Cycling Kinetics on an Ergometer Designed to Quantify Asymmetry

Akbar Rasoulian, Reza Ahmadi, Hamidreza Heidary, Samira Fazeli Veisari et al.
1 citations
Sensors
Motor Control and Adaptation
29.71
article

Reproducibility of Cycling Kinetics on an Ergometer Designed to Quantify Asymmetry

Akbar Rasoulian, Reza Ahmadi, Hamidreza Heidary, Samira Fazeli Veisari, Atousa Parsaei, Saied Jalal Aboodarda, Amin Komeili, Sierra Sweeney
article en
1 citations

Abstract

Cycling-based rehabilitation is a non-invasive intervention for individuals with lower limb asymmetries. However, current cycling devices lack comprehensive biomechanical feedback and cannot assess asymmetry. Our lab has developed a novel cycle ergometer equipped with three-dimensional force pedals, a seat post and handlebar force sensors, which allow for a comprehensive analysis of asymmetry across a fatiguing task. This study assessed the reproducibility of the cycling kinetics and asymmetry index derived from this device during incremental and constant load cycling tasks to volitional failure. Eighteen participants completed incremental and constant-load tests, each across two identical sessions. Pedal forces and power were analyzed for each leg individually, and handlebar forces and seat post mediolateral sway were recorded during cycling. Normalized symmetry index (NSI), a metric quantifying the degree of asymmetry between limbs, was calculated for each variable. The reproducibility of the device was assessed using repeated measures analysis of variance and intraclass correlation coefficients (ICC). No significant session or interaction effects were found for pedal, handlebar, and seat post measures (all <i>p</i> > 0.05). Time effects were observed for pedal force and power in the incremental test (all <i>p</i> < 0.001). NSI values were reproducible with high ICC values (≥0.70) for force and power. The results suggest that this ergometer offers reproducible cycling kinetics and asymmetry measures across a fatiguing task. The findings support the application of this ergometer in research and rehabilitation settings.

SensorsVol. 26(1)
University of Calgary (CA)
Alberta Innovates, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 2%
Motor Control and Adaptation
29.71
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