Abstract

We claim that innovative solutions to the puzzle of non- Invasive and minimally- Intrusive (nImI) Arterial Blood Pressure evaluation is rigorously supported by an already developed set of tested pieces. Such pieces are, but not limited to, the Connectionist Approaches and Machine Learning , Hornik theorems on Feedforward Artificial Neural Networks (FANN) trained as Universal Approximators, the emergence of Big Data paradigm and its recent application in Healthcare, and the access to proven new technologies based upon Volume Clamp methods for continuous, non- Invasive Arterial Blood Pressure monitoring and for wirelessly connecting patient to analysis systems.