Correlation Matrix of Abdominal Expansion and Respiratory Variables for 50 Subjects

Francisco José Vera-Serrano's dataset provides a correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline for a sample of 50 subjects. Pearson’s correlation coefficients are shown, with statistically significant correlations (p < 0.05) highlighted. The dataset was last updated in April 2026 and is available as a 5.5 KB XLS file.

Use Cases

• Identify significant clinical correlations with abdominal inspiratory expansion based on the provided correlation matrix.
• Validate or inform statistical models for respiratory function using baseline clinical and spirometric parameters.
• Perform exploratory data analysis on the relationships between thoracic expansion, lumbar mobility, and respiratory performance.
• Benchmark new respiratory measurements against established spirometric parameters referenced in the description.

Strengths

• Correlation matrix includes statistically significant relationships explicitly highlighted (p < 0.05).
• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Clear baseline focus for 50 subjects provides a controlled snapshot for analysis.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Francisco José Vera-Serrano via figshare

Collection Method

Likely collected from clinical or research measurements, as suggested by the focus on respiratory and clinical variables.

Time Range

Baseline data collection period is unspecified.

Freshness

Last updated 2026-04-03 17:36:08; freshness should be verified.

Geography

Spatial coverage is unspecified.