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Case Study S021
2021 Release

Ramos-Castro 2012: Smartphone HRV Challenges

Capdevila et al.

Quick Conclusion: S021 is a foundational technical warning for the mobile health industry. For OpenSCG, it provides the historical and scientific justification for our sophisticated backend synchronization—proving that we solve a known industry problem that prevents most competitors from achieving clinical-grade accuracy.


📊 Key Accuracy Metrics

MetricResult
FindingSmartphone HRV results are strongly influenced by instability in sampling frequency.
ThresholdSampling frequency instability (jitter) must be compensated for clinical HRV.

🔍 Study Analysis

Objective & Population

Technical Validation Study. Cohort: Healthy subjects (N=121).

What it Supports

The study supports the need for high-precision time-stamping and jitter compensation when performing heart rate variability (HRV) analysis on smartphones. It validates that while smartphones can collect heart data, the 'raw' sampling interval is often too unstable for medical use without software-level correction.

What it Does Not Support

The study does not support the out-of-the-box use of standard mobile APIs for high-precision cardiac diagnostics without dedicated signal stabilization.


🛠 Technical Context

  • DOI: N/A
  • Authors: Capdevila et al.
  • Confidence Tier: Supporting

Study Snapshot

Metadata Summary

Target Population

Healthy subjects

N

Sample Size

121 Subjects

Validated Metric

Smartphone HRV results are strongly influenced by instability in sampling frequency.

Critical Appraisal
supporting

Identified sampling frequency stability as a key requirement for mobile HRV.