Parkinson's Disease Motor Function Data from Markerless Exergaming Study

A 10-session exergaming protocol involving 14 out-of-hospital patients with Parkinson's disease, conducted by Claudia Ferraris. The dataset likely contains kinematic tracking data and clinical assessment scores, including a novel Normalized Efficiency Index and MDS-UPDRS scores. It was last updated on April 16, 2026.

Use Cases

• Correlating digital performance metrics with clinical scores based on the Normalized Efficiency Index and MDS-UPDRS assessments mentioned.
• Analyzing motor fluctuations and medication timing effects based on detected performance incongruence.
• Evaluating patient engagement and system usability for home-based rehabilitation tools based on session-by-session satisfaction scores.
• Developing models for personalized functional training based on granular, longitudinal motor function data.

Strengths

• Includes correlation metrics between digital and clinical assessments (ρ = -0.61 to -0.66).
• Demonstrates high participant engagement with a trial completion rate exceeding 94%.
• Data was collected using a markerless, accessible method requiring only a standard webcam.

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 in scale at 2.3 MB.

Provenance

Source

Claudia Ferraris via figshare.

Collection Method

Data gathered from a feasibility study using a novel exergaming platform with Google MediaPipe for markerless kinematic tracking.

Freshness

Last updated 2026-04-16 11:28:51; freshness should be verified.