Gait Asymmetry and Hop Test Data for ACL Reconstruction Recovery

Ali Ibrahim Alhefzi published a biomechanical dataset on figshare in May 2026. It contains data from 86 participants (43 return-to-sport, 43 non-return-to-sport) 6 to 24 months post-ACL reconstruction. The data includes 3D gait analysis asymmetry indices and single-leg hop test performance metrics.

Use Cases

• Predicting return-to-sport success based on gait asymmetry metrics like vertical ground reaction force and peak knee flexion angle.
• Correlating functional hop test performance (e.g., single-leg hop distance) with biomechanical gait variables.
• Identifying key predictors of functional recovery using regression models on kinetic and kinematic asymmetry indices.

Strengths

• Includes data from 86 participants with a balanced design of 43 return-to-sport and 43 non-return-to-sport cases.
• Reports specific statistical results, such as vertical ground reaction force asymmetry (8.45% vs. 12.34%) and peak knee flexion angle asymmetry (3.12° vs. 5.67°).
• Uses standardized biomechanical assessment methods including 3D gait analysis and a battery of single-leg hop tests.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal and population bias inherent to the single-study source.

Provenance

Source

Ali Ibrahim Alhefzi via figshare

Collection Method

Cross-sectional study involving 3D gait analysis and functional hop tests.

Time Range

Data collection occurred between 6 and 24 months post-surgery for participants.

Freshness

Last updated 2026-05-13 05:53:50; freshness should be verified.