Speaker
Description
Circadian rhythms regulate a wide range of physiological processes, including core body temperature, hormone secretion, and cardiovascular activity. Among these, heart rate exhibits pronounced diurnal variation arising from endogenous circadian regulation. Despite this close relationship, the dynamical interaction between circadian rhythms and heart rate variation remains poorly understood.
In this study, we investigate the interaction between circadian regulation and heart rate dynamics using long-term wearable device data. We used a mathematical modeling to infer latent dynamics underlying heart rate and circadian variation. This approach enables us to characterize how circadian regulation modulates heart rate dynamics over daily timescales.
Our analysis reveals systematic differences in the inferred interaction patterns across demographic groups and clinical outcomes. These results highlight the importance of studying interactions among multimodal physiological rhythms and demonstrate how wearable data combined with dynamical modeling can provide new insights into the regulation of human physiological systems.
