Heart Rate Variability Estimation

This project studies reliable heart rate variability (HRV) estimation from noisy ballistocardiography/bodyseismography (BCG/BSG) signals. Although HRV estimation from BCG signals is often perceived as a mature and solved problem, it remains a challenging open problem in realistic sensing conditions.

Preliminary Results

Preliminary analysis indicates that fine-grained HRV features can be recovered from BCG/BSG signals under selected conditions, but reliable estimation requires careful preprocessing, noise rejection, and validation against higher-quality physiological references.