Sensory Nerve Conduction System with Non-invasive Glucose Monitoring Using Iot-Based Assessment

Abstract

Health monitoring framework based on Internet of things (IoT) has been introduced as of late for improving the quality of medical care administrations. To control glycemia, patients analyzed with diabetes mellitus should screen their blood glucose levels frequently. Subsequently, they must play out a capillary test at least three times each day, also a laboratory tests few times each month. These principal strategies present trouble patients as they need to undergo the invasive method of pricking their fingers to figure the glucose level, yielding uneasiness and trouble. Further, patients affected by diabetes may have a possibility of damage in their nerve conduction system. An Internet of things (IoT)-based system for non-invasive blood glucose monitoring with a simultaneous nerve study system has been proposed in this paper. An Arduino controller with a sensor node is used for monitoring and data transferring to the cloud.