ABSTRACTA growing attention is given to exploiting Photoplethysmography (PPG) signals in non-invasively measuring many physiological vital signs. Many machine deep learning models were trained for predicting the continuous arterial blood pressure (ABP) or just systolic and diastolic (BP) values based on a public database. However, jointly cleaning PPG-ABP dataset that most critical pre-processi...
