IoT Device to Detect Anemia: A Non-Invasive Approach with Multiple Inputs

Abstract

Detection of diseases is a key aspect when considering the world today. Diseases if not cured early it gets worse day by day. Therefore, early detection of the disease is a key aspect that needs to be considered. In this project, the team aims to develop a device to detect Anemia which is a disease caused due to the lack of Fe3+ ions in the body. This is a disease that would even lead to organ failure eventually leading to a heart attack or death. Anemia is causing the red intensity of blood to reduce. Therefore, the team is using that factor to detect the disease. The team has built this device using a key symptom where the intensity of red in the blood is measured and the output is sent to a central server, whilst the server also gets input from a questionnaire that is built in-app. Using this data, the server will decide whether the user is suffering from anemia or not. When tested against the anemia patient there is an accuracy rate of almost 83% that is obtained and when crossed checked against the actual testing done, it qualifies the taken accurate result.