Smart Ring based Digital Twin for Healthcare Application

This work presents a digital twin framework based on smart rings. The compact design of smart rings with a composite sensor enables a digital twin as a viable option for mobile health monitoring, analysis and prediction of biomarkers over time. Built upon sensor data from a smart ring such as Photoplethysmogram (PPG), peripheral oxygen saturation (SpO2), physical motion, and others, a digital twin can provide continuous predictive insights. This framework enables the detection of anomalies in heart rate, monitoring of sleep patterns, evaluation of blood oxygen levels, and assessment of stress. Additionally, it integrates these findings into visual representations, enhancing the understanding of health outcomes.