A benchmark for machine-learning based non-invasive blood pressure estimation using photoplethysmogram
Abstract Blood Pressure (BP) is an important cardiovascular health indicator.BP is usually monitored non-invasively with a cuff-based device, which can be bulky and inconvenient.Thus, continuous and portable BP monitoring devices, such as those based on a photoplethysmography (PPG) waveform, are desirable.In particular, Machine Learning (ML) based