#computer vision
Jul 2026
Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models
A variability-preserving imputation method is introduced that augments linear interpolation with locally adaptive stochastic noise, retaining physiological dynamics essential for accurate forecasting in short-term Heart Rate Variability forecasting.
Luukas Peräkylä, F. Sohrab, Ville Hautamäki et al.
· arXiv.org · 0 citations