Accelerometer Measures of Movement Quality in Duchenne Muscular Dystrophy

192 accelerometer recordings from 92 healthy controls and 100 participants with Duchenne muscular dystrophy (DMD). The dataset, created by Nicholas Joy and last updated in June 2026, includes measures of movement quantity and quality such as counts per minute, entropy, jerk, and movement frequency. It compares healthy controls, ambulatory DMD, and non-ambulatory DMD participants, with statistical analysis showing significant differences between groups.

Use Cases

• Developing digital biomarkers for disease progression based on accelerometer-derived entropy and jerk measures.
• Training models to classify ambulatory status using features like movement frequency and counts per minute.
• Analyzing correlations between movement quantity and quality metrics for clinical research.

Strengths

• Includes data from 192 study visits across two distinct cohorts (healthy and DMD).
• Provides specific median and IQR values for key measures like movement frequency, enabling direct comparison.
• Statistical analysis (Mann-Whitney U tests, correlations) is described, indicating a processed, analysis-ready dataset.

Limitations

• The dataset is very small at 5.5 KB, suggesting limited scope or highly summarized data.
• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific study's participant recruitment and accelerometer models used.

Provenance

Source

figshare

Collection Method

Accelerometer data collected during study visits using ActiGraph Link GT9X and GT3X-BT devices.

Freshness

Last updated 2026-06-02 17:28:15; freshness should be verified.