Abstract: This disclosure relates to systems and processes for estimating blood pressure. Systems described herein comprise at least one sensor for measuring at least one waveform related to blood pressure from a patient; at least one processor; and at least one computer-readable storage medium having encoded thereon executable instructions to carry out a method comprising: receiving, from the at least one sensor, the at least one waveform and determining one or more features comprising at least one or more temporal features and one or more morphology features; and analyzing the one or more features using one or more trained models to determine one or more blood pressure (BP) value associated with the patient; and outputting the one or more BP value determined for the patient based on the received one or more features. The system allows for continuous and noninvasive calculations of a blood pressure to the patient or other users.

Abstract: A reflective PPG sensor, in which motion artifacts have a reduced effect, is configured to be placed on one of a forehead, a finger or a wrist of a subject on a location selected according to a predetermined range of a signal quality index and has a force per unit area between 0.3 N/cm2 and 1.5 N/cm2, and a bonding pressure, for sensor to skin adhesion, between 10 N/cm2 and 20 N/cm2. In one instance, the reflective PPG sensor of these teachings also has a weight between 6 g and 12 g.