Seismocardiography Signal Variability in Hypervolemia and Hypovolemia

A 1.5 MB dataset on figshare, last updated May 2026, analyzes changes in seismocardiography signal variability due to sub-optimal blood volume status. The work by Gabriela I. Cestero fused data from 11 heart failure patients and 15 swine to compare compensated and decompensated states. Results indicate significant changes in signal consistency in the lateral axis for both hypervolemia and hypovolemia populations.

Use Cases

• Developing baseline-free estimation algorithms for sub-optimal volume status based on SCG signal variability.
• Analyzing morphological variability in SCG signals across different axes (dorso-ventral, head-to-foot, lateral).
• Comparing signal consistency between compensated and decompensated cardiovascular states.
• Training models to detect early signs of hypervolemia or hypovolemia from wearable sensor data.
• Investigating the relationship between hemodynamic stability and beat-by-beat signal variability.

Strengths

• Dataset size is 1.5 MB, facilitating quick download and inspection.
• Analysis includes data from two distinct populations: 11 human patients and 15 swine.
• Results are statistically significant for the lateral axis (p-values of 0.042 and 0.012).
• Data is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document, which may require conversion or parsing to extract structured data.

Provenance

Source

Gabriela I. Cestero via figshare.

Collection Method

Data fusion from two studies: heart failure patients undergoing vasodilation and swine undergoing volume depletion.

Freshness

Last updated 2026-05-18 05:30:38; freshness should be verified.