Intelligent Computing for Physiological Signals

Translating Complex Physiological Signals from Wearable Sensors

BioCodec Lab develops computational methods for understanding PPG and ECG signals in real-world wearable settings. Our research focuses on signal denoising, motion-artifact mitigation, signal quality assessment, and physiological parameter estimation using signal processing and machine learning.

Raw wrist PPG BioCodec output
Heart rate 72 bpm Signal quality — SNR — Correlation —