Time-series representation of biological information utilizing a constellation graph

To examine human health, we need to check changes over time in the states of various vital signs such as blood pressure, body temperature, and blood glucose level. As long as the human body is alive, vital signs are the values that keep delicately fluctuating within a certain range due to homeostasis, and it is possible to predict signs of diseases when vital signs fluctuate widely. Therefore, it is necessary to check the variations in the time series. In this research, we developed a system that can display time-series variations of vital signs, including delicate changes in values, on a semicircular graph. As an example, we show the fluctuation of the Lyapunov exponent, which relates to mental health in sympathetic nerves, and which the author has been researching, in a time-series constellation graph.