This project aims to objectively study the cranial rhythmic motion associated with osteopathy in the cranial field (OCF). To this purpose, several signal analysis techniques have been applied to explore, characterize, and define a possible relationship of the Cranial Rhythmic Impulse (CRI) signal with other biological measurements. Processing was performed on the MATLAB development environment, using a dataset that contained Blood Volume Pulse (BVP), respiration and Intra-Beat-Interval (IBI) measurements, in addition to the CRI signal. The work was structured with a view to find a connection of the CRI signal with the remaining measurements to be able to pave the way for the automation and engineering of the process of skull palpation, which is performed manually to date.