A dataset from a wireless, flexible auscultation patch that captures cardiorespiratory signals. The data, made available by Tran Bach Dang in April 2026, includes low-frequency chest movements, pulse waves, SCG cardiac signals, Korotkoff sounds, and vocal cord vibrations across a wide frequency range. The dataset is 193.1 MB in size and is available in XLSX, ZIP, and CSV formats.
Use Cases
- Develop models for respiratory rate estimation based on low-frequency chest movement data.
- Analyze cardiac mechanics using the seismocardiogram (SCG) signals in the 0-100 Hz range.
- Process and classify Korotkoff sounds for non-invasive blood pressure monitoring applications.
- Study vocal cord vibrations for potential applications in speech or respiratory health analysis.
Strengths
- Captures a wide range of physiological signals from a single sensor, as described.
- Data is available in multiple common formats (XLSX, CSV, ZIP).
- Released under a permissive CC-BY-4.0 license for reuse.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare, author Tran Bach Dang.
- Collection Method
- Collected via a wireless, flexible auscultation patch (AusculPatch).
- Freshness
- Last updated 2026-04-12 09:49:58; freshness should be verified.