Longitudinal Accelerometry and Ambulatory Status in 100 DMD Participants

100 participants with Duchenne muscular dystrophy (DMD) contributed to this longitudinal dataset, which includes 183 wear periods of accelerometry data. The data, stored in an XLS file, was authored by Nicholas Joy and last updated on June 2, 2026. It examines the relationship between ambulatory status and accelerometry-derived measures over time.

Use Cases

• Modeling disease progression based on longitudinal accelerometry data.
• Correlating quantitative activity measures with clinical ambulatory status.
• Developing digital biomarkers for DMD using wearable sensor data.

Strengths

• Includes data from 100 DMD participants, a notable cohort size for a rare disease.
• Contains longitudinal data across 183 distinct wear periods, allowing for time-series analysis.
• Released under a permissive CC-BY-4.0 license for open use.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or highly summarized data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.

Provenance

Source

Nicholas Joy via figshare.

Collection Method

Likely collected via wearable accelerometers during clinical or observational studies.

Freshness

Last updated 2026-06-02 17:28:20; freshness should be verified.