Duchenne Muscular Dystrophy Participant Characteristics and Accelerometry Data

192 participant records from a study comparing movement quality between healthy controls and individuals with Duchenne muscular dystrophy (DMD). The dataset includes accelerometer-derived measures such as counts per minute, entropy, jerk, and movement frequency, with median and IQR values reported for healthy, ambulatory DMD, and non-ambulatory DMD groups. It was authored by Nicholas Joy, shared under a CC-BY-4.0 license, and last updated on June 2, 2026.

Use Cases

• Classifying movement quality (e.g., disordered vs. typical) based on accelerometer measures like entropy and jerk.
• Predicting ambulatory status in DMD patients using longitudinal accelerometry data.
• Analyzing correlations between movement quantity (counts per minute) and movement quality metrics.
• Benchmarking accelerometry-derived features for neuromuscular disease research.

Strengths

• Includes data from 192 participants (92 healthy controls, 100 with DMD).
• Provides specific accelerometer measures like entropy, jerk, and movement frequency with reported statistical significance (P < 0.01).
• Contains longitudinal data for DMD participants with one to three study visits.

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 very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Accelerometer data collected during study visits using ActiGraph devices (Link GT9X, GT3X-BT).

Freshness

Last updated 2026-06-02 17:28:17; freshness should be verified.