Alexander Park
Korea International School
Abstract
Despite advancements in the medical field, there are still many challenges to be overcome, notably heart disease. To prevent and treat these heart diseases, the medical sector has resorted to newly created technology for the early detection of prospective disorders. This paper will use a series of sensors and Arduino technologies to determine whether correlations between specific characteristics such as age, BMI, or pulse can be compared to data obtained from the sensors, including oxygen percent, volumetric variations of blood circulation, and heart’s bathymetric and electrical activity, to identify and analyze possible correlations between such variables. This study introduces linear regression to analyze the data and predict other samples based on the acquired data to achieve this comparison of data points.
