Kinetic and isokinetic dynamometry data from individuals with Patellofemoral Pain (PFP) and healthy controls, updated in March 2026. Produced by Kramer and PhASRec, the dataset supports the replication of biomechanical studies involving drop jump tasks. It provides comparative measurements for symptomatic and asymptomatic movement analysis.
Use Cases
- Analyzing peak ground reaction forces during drop jumps in PFP vs control groups
- Evaluating muscle strength profiles using isokinetic dynamometry measurements
- Developing biomechanical models for landing patterns in symptomatic populations
Strengths
- Includes both PFP and healthy control groups for comparative analysis
- Combines two distinct measurement types: drop jump kinetics and isokinetic dynamometry
- Designed specifically for the replication of clinical biomechanical studies
Limitations
- Unknown sample size and record count
- Missing documentation on specific sensor hardware and sampling frequencies
- Lack of demographic metadata such as age, weight, or symptom duration
Provenance
- Source
- Kramer, PhASRec via Harvard Dataverse
- Collection Method
- Sensor-based measurements (kinetics and dynamometry)
- Freshness
- Last updated March 2026.