Vital Sign Monitoring with FMCW Radar

Overview

This project explored a novel approach for estimating breathing and heartbeat rates using 3D beamforming-based frequency modulated continuous wave (FMCW) radar signals.

Key Contributions

• 3D Beamforming:

  • Focused on different sections of the body for precise vital sign estimation.
  • Improved accuracy over traditional 2D methods in various experimental scenarios.

• Vital Sign Estimation Framework:

  • Proposed a method to separate and analyze breathing and heart signals using Bartlett Beamforming.
  • Conducted phase extraction and unwrapping to derive vital sign data.

• Experimental Results:

  • Validated the method on seven human subjects, demonstrating significant improvement in accuracy for both breathing and heart rate detection.

Results

Our experiments showed:

• Improved heart rate detection using the proposed 3D beamforming over conventional 2D methods.
• Lower Mean Absolute Error (MAE) across varied scenarios.
• Research Paper: Submitted as a second author to an IEEE conference. Though rejected, the research showcased promising advancements in radar-based healthcare solutions.