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
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SNR
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Correlation
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