Medical signals obtained through EEG (Electroencephalography) are commonly used to diagnose and treat different illnesses such as epilepsy and seizure disorders. These signals are very complex due to their sensitivity to noise and their difficult understanding. Additionally, they tend to have a big size which makes difficult their processing and utilization. The EEG signals consist of multiple channels depending on the number of electrodes that are used to measure brain activity. This means that the size of the signals is a function of the measurement time and the number of channels. Based on these premises, compression is needed to facilitate the transport and storage of the signals.