fig5

Figure 5. Operating scheme of two typical machine learning applications for blood pressure and hypertension monitoring. In the example of panel A, the patient’s features and measured blood pressure are fed to a machine learning algorithm, usually based on deep learning, and the system predicts the patient’s cardiovascular risk. In the example of panel B, the pulse wave recorded with a wearable sensor is entered together with the patient’s demographic, anthropometric, and clinical data into a machine learning model, and the blood pressure level is predicted. CV: Cardiovascular; BP: blood pressure. Redrawn with permission^[11].