← Back to Research

Wireless PPG Heart Rate Monitoring

Development of a Wireless PPG-Based Heart Rate Monitoring System

A wireless system that reads heart-rate signals from the finger and the wrist at the same time, built to attack a long-standing problem: the signal falls apart the moment the wearer moves.

Role
Visiting Student Researcher
Period
Feb. 2025 – Present
Institution
Stony Brook University Supervised by Dr. Shan Lin

Why this matters

Photoplethysmography is how a smartwatch measures heart rate, but it is extremely sensitive to motion — a shake of the hand can bury the pulse under noise. Getting trustworthy data during real activity means first knowing which segments were corrupted by movement.

What I did

  • Designed and implemented a wireless system for synchronous acquisition of finger- and wrist-based PPG signals, enabling time-aligned multi-channel data transmission.
  • The first build ran on an ESP8266, but the link was unstable enough that measurements still depended on cables — a wireless rig that left the subject tethered, which defeats the point. Moving to the ESP32 with the ESP-NOW protocol cut latency and held the link steady; only then could subjects move freely, which is the precondition for the whole study.
  • Incorporated motion event detection to identify motion-induced artifacts and support robust signal segmentation under dynamic conditions.
  • Improved the device's efficiency and stability in practical applications through wireless communication technology and low-power design.
  • Integrated signal processing features with machine learning models to analyze cross-channel similarity and improve the robustness of identity consistency assessment.
  • Extended the system architecture to support additional sensing channels and ongoing refinement of signal processing methods for operation under motion and environmental variability.

Technologies

  • Embedded Systems
  • Wireless Communication
  • Low-Power Design
  • Signal Processing
  • Machine Learning
  • PPG Sensing