The goal of this thesis is to investigate and improve the computation of the Lateralized Readiness Potential by using tools like Machine Learning and Dimensionality Reduction side by side with the traditional tools usually em- ployed in neurophysiology, such as ??ltering and trials averaging. Within this work Lateralized Readiness Potentials (LRP) are investigated with the intention of understanding whether, in a near future, they could be used as a diagnostic tool in motor and consciousness disorders. A typical scenario could be the diagnosis of a a Locked-In Syndrome. Locked-in syndrome (LIS) is a condition in which a patient has a complete paralysis of almost all voluntary muscles except for vertical eye movements and blinking.