Gait Kinematics and Kinetics for 158 Participants with Meniscal Injuries

158 participants were stratified by MRI into control and meniscal injury groups (Grades I-II and III). This dataset contains the results of a multivariate analysis of covariance (MANOVA) test, likely including Wilks' Lambda statistics, comparing peak joint angles, moments, and ground reaction forces across these groups. The data was authored by Xinya Lan and last updated in April 2026.

Use Cases

• Train classifiers to stratify meniscal injury severity based on gait kinematic features mentioned in the description.
• Analyze correlations between Stoller MRI grades and specific kinetic deficits like reduced joint moments.
• Build regression models to predict functional impairment from objective gait analysis metrics.
• Compare the magnitude of changes in key parameters, such as the 309.0% increase in knee extension angle for Grade III injuries.

Strengths

• Includes data from 158 participants, providing a substantial sample for analysis.
• Results are adjusted for covariates including body mass index, Lysholm score, and walking speed.
• Specific, quantified findings are reported, such as a 309.0% change in knee extension angle for Grade III injuries.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 5.5 KB, indicating it contains summary test results rather than raw observational data.

Provenance

Source

figshare, author Xinya Lan

Collection Method

Data gathered via three-dimensional motion capture synchronized with force platforms during gait analysis.

Time Range

null

Freshness

Last updated 2026-04-27 17:23:22; freshness should be verified.

Geography

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