This work is part of a larger project that aims to investigate the level of consciousness in non-responsive patients (Vegetative State or Minimal Conscious State). The ratio of misdiagnosis is indeed very high at the moment. We are developing a Brain Computer Interface able to support the diagnosis. Our BCI uses Readiness Potentials (RP), first identified by Kornuber, which arise just before the start of a voluntary movement. Therefore, the presence of an RP is a marker of presence of consciousness. Within this project, the aim of this thesis was to create a robust machine learning algorithm that can predict whether a movement is voluntary or not.