# Seconds Matter: Rapid Non-Contact Monitoring of Heart and Respiratory Rate from Face Videos

**Authors:** Taha Khan, Péter Pál Boda, Annette Björklund, Stefan Malmberg

PMC · DOI: 10.3390/s26051506 · Sensors (Basel, Switzerland) · 2026-02-27

## TL;DR

This paper introduces a fast, non-contact system using facial videos to accurately measure heart and respiratory rates in just 15 seconds.

## Contribution

The novel dual-modality system achieves high accuracy in ultra-short recordings, surpassing prior methods that required longer recording times.

## Key findings

- Heart rate estimates reached 98.5% accuracy within ±10 beats per minute using 15-second recordings.
- Respiratory rate estimates achieved 98.4% accuracy within ±5 respirations per minute.
- The system demonstrated near real-time performance on standard home computers.

## Abstract

Accurate, non-contact vital-sign monitoring promises a scalable alternative to conventional sensors, yet low signal quality and long recording times have limited real-life adoption. We present a dual-modality system that combines Eulerian video magnified remote photoplethysmography (rPPG) from facial videos with optical flow-based shoulder tracking to estimate heart rate (HR) and respiratory rate (RR) from ultra-short 15 s recordings. With 200 participants, each providing 2 videos, 387 videos passed strict usability criteria, excluding flicker, blur, occlusion, and low illumination. For 15 s recordings, the HR estimates reached 98.5% accuracy within a ±10 beats per minute tolerance (MAE = 3.25, RMSE = 4.88, r = 0.93; p < 0.05) and the RR estimates achieved 98.4% accuracy within a ±5 respirations per minute tolerance (MAE = 0.69, RMSE = 0.87, r = 0.90; p < 0.05), exceeding prior studies that required 30 to 60 s recording lengths. Computational analysis on a standard home computer confirmed feasibility, with near real-time performance achievable on optimized hardware. By integrating complementary modalities and rigorous video quality control, the system overcomes low-SNR challenges, delivering high-fidelity, clinically validated vital signs monitoring. These results establish a robust, scalable, and precise framework for clinical and home care, demonstrating that accurate, contact-free HR and RR monitoring can now be achieved in seconds, making rapid, real-life vital signs assessment practical and accessible.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12987125/full.md

## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12987125/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12987125/full.md

---
Source: https://tomesphere.com/paper/PMC12987125