# Methodology for three-dimensional analysis of asymmetries in joint moments in cycling

**Authors:** Ezequiel Martín-Sosa, Juana Mayo, Joaquín Ojeda

PMC · DOI: 10.3389/fbioe.2025.1692531 · Frontiers in Bioengineering and Biotechnology · 2026-01-07

## TL;DR

This paper introduces a new method to analyze joint asymmetries in cycling across three dimensions, helping understand how imbalances affect performance and injury risk.

## Contribution

The novelty is combining three metrics (NSI, CCC, ADC) for three-dimensional joint moment asymmetry analysis in cycling.

## Key findings

- Asymmetries in frontal and transverse planes were most significant and decreased with higher pedaling power.
- Combining NSI, CCC, and ADC indices helps distinguish between magnitude and timing differences in asymmetries.
- Higher pedaling power reduces the magnitude of joint moment asymmetries.

## Abstract

The assessment of lower-limb joint moment asymmetries during cycling is critical, as inter-limb imbalances may lead to performance decrements, overload, or injury risk. While most investigations have focused on the sagittal plane, asymmetries may also arise in the frontal and transverse planes, with potential implications for both performance and health. The present study performed a three-dimensional analysis of joint moment asymmetries and examined the influence of pedalling power on their magnitude in ten amateur cyclists under three power conditions.

Asymmetries were quantified using a modified version of the Normalised Symmetry Index (NSI), the Cross-Correlation Coefficient (CCC), and the newly proposed metric Asymmetries During Cycle (ADC) index.

Results indicated that these indices must be applied jointly to identify whether asymmetries arise from magnitude differences, temporal pattern discrepancies, or both. The greatest asymmetries were observed in the frontal and transverse planes, and their magnitude decreased progressively with increasing pedalling power.

The novelty of this work resides in the combined application of NSI, CCC, and the ADC index to three-dimensional joint moment analysis, which together provide a comprehensive and mechanistic understanding of asymmetries throughout the pedalling cycle, an approach not previously reported in cycling biomechanics.

## Full-text entities

- **Genes:** AZIN2 (antizyme inhibitor 2) [NCBI Gene 113451] {aka ADC, AZIB1, ODC-p, ODC1L, ODCp}
- **Diseases:** musculoskeletal overloads (MESH:D009140), patellofemoral pain (MESH:D046788), asymmetry (MESH:D005146), muscular (MESH:D009135), fatigue (MESH:D005221), iliotibial band syndrome (MESH:D058745), CCC (MESH:C537866), dysmetria (MESH:D002524), overuse injuries (MESH:D012090), injuries (MESH:D014947), NSI (MESH:C566784), muscle overload (MESH:D019190), overload of the patellar tendon (MESH:D052256), lumbar pain (MESH:D010146), muscle (MESH:D019042), breathlessness (MESH:D004417), Leg length discrepancy (MESH:D007870)
- **Chemicals:** oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12818791/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12818791/full.md

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Source: https://tomesphere.com/paper/PMC12818791