Towards Modeling Human Biorhythms Using Non-Invasive Approaches

Biorhythms in humans hold vital importance that is directly related to a person’s health and well-being. This paper introduces a novel dataset for modeling biorhythms while focusing primarily on using an ingestible pill to monitor core body temperature and four physiological signals. We use two different settings to label our data to develop different scenarios of energization and enervation. We propose an approach that could potentially act as a reliable alternative to the usage of core temperature pills and genome sequencing while avoiding their invasiveness and complexities. We also explore the effect of the data size on the overall performance. Our findings indicate that our proposed approach is reliable and feasible, and presents future promise in using less invasive approaches to monitor and predict the circadian state of humans.