Quick Conclusion: An open-access dataset used for training and validating algorithms on diverse smartphone hardware.
📊 Key Accuracy Metrics
| Metric | Result |
|---|---|
| Total hours of data | 7,700+ |
| Unique recordings | 502 |
| Format | CSV (Raw and Calibrated SCG) |
| Repository | github.com/TaebiLab/MSCardio |
🔍 Study Analysis
Objective & Population
Open-access Dataset / Remote Monitoring Study. Cohort: 108 volunteers (46 male, 61 female), Age 18-62 (N=108).
What it Supports
Provides a large-scale real-world SCG dataset for technical characterization.
What it Does Not Support
This study does not provide diagnostic validation for heart disease but provides the raw material needed to develop such diagnostics.
🛠 Technical Context
- DOI: 10.5281/zenodo.15657893
- Authors: Amirtaha Taebi et al.
- Confidence Tier: Supporting