BIOMEDICAL SIGNAL PROCESSING

Frontier Research Overview
The Interfaces Research Group develop AI-driven biomedical signal processing technologies for EEG, PPG, sEMG, IMU, and radar data.
Diagram of AI-driven biomedical signal processing pipeline: multimodal biosignals (EEG, PPG, sEMG, IMU, radar), AI signal intelligence stages, and clinical impact areas

Their research spans artifact removal, denoising, signal compression, feature learning, multitask AI, and personalized modeling. These innovations support brain–computer interfaces, seizure detection, sleep and cardiovascular monitoring, rehabilitation, and accessible digital healthcare.