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Case Study S015
2025 Release

Cinotti 2025: Instantaneous HR via Phone

Cinotti et al.
Access Paper

Quick Conclusion: Recent 2025 benchmark confirming smartphone hardware sensitivity for medical-grade cardiac and respiratory monitoring.


📊 Key Accuracy Metrics

MetricResult
Heart Rate LoA±7.33 ms
Heart Rate R2> 0.999
Breathing Rate LoA±0.51 breaths/min
Breathing Rate R20.993


🔍 Study Analysis

Objective & Population

Technical Validation Study. Cohort: 24 healthy volunteers (N=24).

What it Supports

The study supports the use of high-frequency smartphone sensors to extract heart rate variability (HRV) and breathing rates with extreme precision, achieving heart rate accuracy (±7.33ms) sufficient for clinical analysis.

What it Does Not Support

This study does not provide evidence for accuracy during vigorous physical activity or for diagnosing heart rhythm disorders in a home setting.


đź›  Technical Context

Featured Illustration

Figure 6. Results of statistical analyses on IBIs obtained from SCG signals: (a) correlation and linear regression plot; (b) Bland–Altman plot.

Figure 6. Results of statistical analyses on IBIs obtained from SCG signals: (a) correlation and linear regression plot; (b) Bland–Altman plot.

Study Snapshot

Metadata Summary

Target Population

24 healthy volunteers

N

Sample Size

24 Subjects

Validated Metric

±7.33 ms

Critical Appraisal
supporting

“Achieved extreme precision in heart and breathing rate estimation via smartphone sensors.”