Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. (arXiv:2210.11415v1 [eess.SP])

Nowadays, Hearth Rate (HR) monitoring is a key feature of almost all
wrist-worn devices exploiting photoplethysmography (PPG) sensors. However, arm
movements affect the performance of PPG-based HR tracking. This issue is
usually addressed by fusing the PPG signal with data produced by inertial
measurement units. Thus, deep learning algorithms have been proposed, but they
are considered too complex to deploy on wearable devices and lack the
explainability of results. In this work, we present a new deep learning model,
PULSE, …

arxiv fusion head multi-head rate signal