Brain-computer interfaces (BCI) are systems capable of interpreting the neural activity of a subject and translating it into a digital output signal. BCIs are recognized by the scientific community as a potential remedy for restoring the motor functions of physically impaired patients. The long-term goal of this study is to restore tetraplegic patients' motor abilities. As they have lost the ability to correctly execute movements, only imagined or attempted movements can be performed. ElectroEncephaloGram (EEG) based BCIs allow the decoding of imagined movements through a non-invasive approach. The drawback of these systems is their limited clinical application. While they achieve good performance within a laboratory, they are rarely built to work in a real-life setting and when they do, they can hardly achieve acceptable performances.