[Detection and Application of Allostatic Load through Internet of Things Measurements].

Allostatic load refers to a vulnerable state of the nervous system caused by chronic or repeated exposure to challenges of daily life (e.g., psychological stressors) and considered to indicate risk of a transition to pathological state. In this paper, we first introduce a traditional method of assessing allostatic load that utilizes multiple biomarkers. Next, we demonstrate the potential of the Internet of Things (IoT) data sampling method to detect and control the vulnerable state in daily life.