The aim of this thesis is to implement a portable device able to put into practice a medical research that has being developed in University College of Cork. The idea is to realize an intuitive and persuasive solution for neonatal EEG monitoring systems used in healthcare facilities that enhances the classic approach by using sonification and deep learning AI, providing information about neonatal brain health to all neonatal healthcare professionals, particularly those without EEG interpretation expertise. As a matter of fact, interpreting the EEG activity of a newborn, requires very high knowledge and experience and it is still hard to detect an anomaly, such as a seizure or abnormal EEG background activity, since the symptoms are often contradictory.