README.md

[English] This repository provides a raw 77 GHz mmWave radar dataset (.bin format) collected from single-subject experiments, along with a lightweight MATLAB preprocessing pipeline. It implements EEMD-based decomposition to separate respiration and heartbeat components from radar phase signals, serving as a reliable baseline for non-contact vital sign monitoring research.

[中文] 本项目提供了一套用于非接触式生命体征监测的轻量级工具箱与数据集。包含 77 GHz 毫米波雷达采集的单人实验原始数据（.bin 格式），以及一套简洁的 MATLAB 预处理流程。项目演示了如何利用 EEMD（集合经验模态分解） 算法从雷达相位信号中高效分离呼吸与心跳成分，可作为相关研究的基线（Baseline）参考。

📚 Resources (资源导航) 📄 Paper (论文): ArXiv: 2502.11042

wm Dataset (数据集): Google Drive Link

👨‍🎓 Author (作者主页): Google Scholar Profile

🚀 Key Features (主要功能) Raw Data Access: Direct access to raw ADC data from 77 GHz mmWave radar.

Signal Processing Pipeline: Complete workflow from raw signal parsing to phase extraction.

Vital Sign Separation: Implementation of EEMD algorithm to decouple heart rate and respiration rate.

📧 Contact If you encounter issues downloading the dataset or have questions about the code, please contact:

Boyuan Gu (guboyuan79@gmail.com)

📄 Cite：

B. Gu, Y. Yang, S. You, H. Sun, J. Sun and S. Guo, "Improved VMD Based Remote Heartbeat Estimation Utilizing 60GHz mmWave Radar," 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 2025, pp. 4635-4640, doi: 10.1109/SMC58881.2025.11342664.

📢 New: Looking for more mmWave resources (Datasets, Papers, Hardware)? Check out our curated Awesome-mmWave-Sensing Roadmap!

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