Clinical VR Biofeedback Treadmill Training Data for Children with Cerebral Palsy

A preliminary retrospective study of 17 children and adolescents with cerebral palsy who underwent a virtual-reality treadmill-based biofeedback training program. The dataset includes spatiotemporal gait parameters, kinematic waveforms, and outcome measures like Gait Profile Score, collected by Gilad Sorek and last updated in April 2026. The data likely documents changes in walking metrics before and after a series of 7 to 12 clinical treatments.

Use Cases

• Analyzing changes in dimensionless walking speed and step length based on the spatiotemporal parameters mentioned in the description.
• Evaluating the impact of VR biofeedback on gait symmetry and variability using the Gait Profile Score and Gait Variable Score metrics.
• Studying kinematic waveform changes, particularly in knee extension angle, to assess treatment effectiveness for cerebral palsy.
• Investigating participant adherence and treatment completion rates in a clinical VR treadmill training paradigm.

Strengths

• Includes data from 17 participants with a mean age of 11.3 years, providing a specific pediatric cohort.
• Reports statistically significant improvements (p<0.05) in key metrics like step length and walking speed.
• Contains multiple outcome measures: spatiotemporal parameters, Gait Profile Score, Gait Variable Score, and kinematic waveforms.
• All but one participant completed the full treatment series, indicating strong adherence.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (11.5 MB), which may limit the scope of statistical analysis.

Provenance

Source

Gilad Sorek via figshare

Collection Method

Preliminary retrospective data from a clinical VR treadmill-based biofeedback treatment program.

Freshness

Last updated 2026-04-22 10:44:08; freshness should be verified.