Blood Pressure

Blood pressure (BP) monitoring is crucial for cardiovascular health, with research focusing on developing accurate and continuous non-invasive methods. Current efforts utilize machine learning, particularly deep neural networks (including transformers, convolutional neural networks, and generative adversarial networks), to estimate BP from various biosignals like photoplethysmography (PPG), electrocardiography (ECG), and even facial video analysis. These advancements aim to improve early detection of hypertension and other cardiovascular conditions, leading to better patient outcomes and potentially transforming healthcare through remote monitoring and personalized interventions.