Systems and methods are provided in which data acquisition device detects and captures ambulatory radial arterial blood pressure in a non-invasive and continuous manner through the combined use of tonometry, accelerometry and photoplethysmography, together with the detecting and translating of Mayer waves. Transformed blood pressure data, together with motion and contextual data can be used as input for machine learning algorithms and biomathematical models which can predict the general state of health of an individual. Transformed blood pressure data, together with motion and contextual data, may be communicated via wireless communications to mobile devices and/or cloud based platforms.