MEHE based Prediction of Health Condition using LBM in Edge Computing Systems

Low range of Lean Body Mass (LBM) is troublesome for a variety of reasons, including potential implications on health, ability to carry out everyday activities, and emotional and psychological states. Loss of LBM leads to a variety of health problems, including exhaustion, an increased risk of injury, and a slower metabolic rate. LBM [%] value is calculated and is checked against the normal range of "75-85" and the result is analysed with three categories (Unhealthy: Level 1, Healthy and Unhealthy: Level 2). In today's web-based society, the Internet of Things (IoT) and Edge computing are two emerging topics. The current research on the integration of IoT/Web of Things (WoT) devices with Edge Computing is dominated by the Smart Health Care system. Modified Enhanced Homomorphic Scheme encryption system is used to safeguard the processing of patient data and test findings. The LBM [%] value is determined and evaluated using the MEHE scheme algorithm.