A Smart IoMT-Based Health Assisting Tool for Predicting Deep Vein Thrombosis

Deep vein thrombosis (DVT) is an under diagnosed, asymptomatic, and ignored serious medical condition worldwide. A blood clot that builds up in the deep veins is known as deep-vein thrombosis; it mainly affects the lower leg but can also affect the arms, mesenteric veins, and cerebral veins. It is a subset of venous thromboembolism disorders, which, after strokes and cardiac arrest, account for the third leading cause of myocardial infarctions death. Moreover, 30% of people possessing DVT result in mortality, and most of them remain incurable/recurrence of this condition. To avoid this condition, regular monitoring of this condition is necessary for post-surgery patients and aged people but it is possible mostly with the help of medical assistive persons. The goal of the work is to employ an assisting tool that helps to monitor the blood flow condition through an application without any medical person's governance using LRR (Light Reflection Rheography) that could help to govern blood flow condition. Then, the data is stored for further processing and used for analysing the condition.