Internet of Things (IoT) Wearable Biosensors and Digital Infrastructure for Children's Health Camps: KasabaKiat Digital system
Аннотация
With the rapid advancement of Internet of Things (IoT)–based digital health technologies, these wearable biosensor systems create significant diagnostic and monitoring advantages, including real-time feedback as critical data points for continuous assessment. The main objective of the present research is to provide a detailed modeling framework of the relationships among participants from various age and activity groups living in eco-digital health-camp environments, who have used IoT wearable biosensors. The aim of this study is to compare the differences in vital-sign variability, behavioral adaptation patterns, and their correlations in digital-green settings—KasabaKiat rural, KasabaKiat suburban, and KasabaKiat urban. We found more than 350 monitoring cases, including heart-rate fluctuations, respiratory rate anomalies, temperature variations, sleep-cycle orders, hydration levels, motion-pattern irregularities, and stress-response indicators. MIMIC-SEM analysis of multi-level time-structured sensor datasets among monitored children in different camp conditions, the digital clusters, interaction nodes, and latent constructs was significant and consistent. Vector Auto-Regression (VAR) analysis, including Granger causality tests and forecasting of the level of autonomic balance and psychophysiological coherence, is routinely applied in all KasabaKiat monitoring cycles to track adaptive responses. Some differences are observed in data integration methods, accuracy of sensor calibration, and camp-specific environmental conditions. Hence, we issue a recommendation to policymakers and educators, highlighting the need for more interdisciplinary data fusion and cross-system interoperability, and greater ethical transparency and data-governance standardization at the institutional, regional, and national levels aimed at improving child health management and ensuring the sustainability of the KasabaKiat digital ecosystem.