README.md

---
license: cc-by-4.0
tags:
- medical
- video
- ecg
- ppg
size_categories:
- 1K<n<10K
---
# MCD-rPPG: Multi-Camera Dataset for Remote Photoplethysmography

This repository contains the dataset from the paper ["Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation"](https://arxiv.org/abs/2508.17924v1)

The presented large-scale multimodal MCD-rPPG dataset is designed for remote photoplethysmography (rPPG) and health biomarker estimation from video. The dataset includes synchronized video recordings from three cameras at different angles, PPG and ECG signals, and extended health metrics (arterial blood pressure, oxygen saturation, stress level, etc.) for 600 subjects in both resting and post-exercise states.

We also provide an efficient multi-task neural network model that estimates the pulse wave signal and other biomarkers from facial video in real-time, even on a CPU.

## The MCD-rPPG Dataset

The dataset contains:
*   **3600 video recordings** (600 subjects × 2 states × 3 cameras)
*   **Synchronized PPG** (100 Hz) and ECG signals
*   **13 health biomarkers**: systolic/diastolic pressure, oxygen saturation, temperature, glucose, glycated hemoglobin, cholesterol, respiratory rate, arterial stiffness, stress level (PSM-25), age, sex, BMI.
*   **Multi-view videos**: frontal webcam, FullHD camcorder, mobile phone camera.
*   
## Code and usage

See GitHub repository [https://github.com/ksyegorov/mcd_rppg](https://github.com/ksyegorov/mcd_rppg)


## Citation

If you use the MCD-rPPG dataset or code from this repository, please cite our work:

```bibtex
@article{egorov2024gaze,
  title={Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation},
  author={Egorov, Konstantin and Botman, Stepan and Blinov, Pavel and Zubkova, Galina and Ivaschenko, Anton and Kolsanov, Alexander and Savchenko, Andrey},
  journal={arXiv preprint arXiv:2508.17924},
  year={2024}
}