<p>Descriptive characteristics of participants.</p>

86 participants with coronary heart disease performed metabolic and treadmill tests while wearing hip and wrist accelerometers to establish activity intensity cut-points. The dataset includes a training and validation split and was used in an international comparison with 176 participants. Nicole Freene authored this dataset, which is available under a CC-BY-4.0 license and was last updated on 2026-05-28.

Use Cases

• Developing accelerometer cut-points for moderate-to-vigorous physical activity based on metabolic equivalents measured in a clinical population.
• Comparing absolute and relative aerobic intensity measures based on accelerometer data from hip and wrist placements.
• Validating physical activity classification models using a dataset with a training and independent validation set split.
• Analyzing the relationship between accelerometer counts per minute and exercise intensity in people with coronary heart disease.

Strengths

• Dataset includes data from 86 participants with coronary heart disease, a specific clinical population.
• Study design involved a training and independent validation set split (2:1 ratio) for cross-validation.
• Data collection included resting metabolic rate assessment, activities of daily living, and a peak treadmill test with gas analysis.

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 at 9.5 KB, indicating limited scope.

Provenance

Source

figshare, author Nicole Freene.

Collection Method

Data likely gathered from a clinical study where participants performed metabolic and physical activity tests while wearing accelerometers.

Freshness

Last updated 2026-05-28 17:40:31; freshness should be verified.