STGram: Non-Invasive Visualization and Analysis of Circadian Rhythms Through Surface Temperature Monitoring

Abstract

Circadian rhythms, integral to physiological and behavioral processes, are influenced by environmental cues and developmental stages. This study explores the visualization and analysis of circadian rhythms through non-invasive monitoring of surface body temperature (STGram: Surface Thermo Deviations gram), focusing on the effects of jet lag in international travelers and the developmental progression of circadian rhythms in infants. Using a compact, wearable thermometric device, we collected data from adults experiencing jet lag and a 3-month-old infant over five months. Our analysis identified clear circadian shifts in travelers and illustrated the gradual establishment of circadian rhythms in the infant. These findings underscore the effectiveness of surface body temperature as a marker for circadian rhythm analysis, offering a valuable tool for understanding circadian dynamics and their impact on health. This methodological approach has significant implications for circadian rhythm research, health management, and the study of physiological development.