Systolic Blood Pressure estimation from PPG signal using ANN

High Blood Pressure is one of the precursors for Cardiovascular Diseases, the most common cause of death in 2015, as reported by the World Health Organization (WHO). Continuous and non-invasive blood pressure remote monitoring would be a great revolution, especially for hypertensive patients. Our work aims to propose a system in which Photoplethysmogram is used to continuously estimate Systolic Blood Pressure (SBP), (a more potent predictor for coronary heart disease, heart failure and mortality, at age 50), using Artificial Neural Network.