Cognitive radio system for interference reduction in BANETs focused on epilepsy diagnosis

This work proposes and designs a body area network (BANET) for continuous monitoring and event detection and we study the system behavior for different parameters associated with the transmission of information. The continuous monitoring signals are form the electroencephalogram (EEG) and electrocardiogram (ECG) sensors since these signals provide the most important data for the epilepsy detection while the event detection system is composed mainly by the electrogastrogram (EGG) sensors but other sensors are also considered. Also, we propose a system to reduce interference and energy consumption by making a more efficient use of the channels using a cognitive radio system. This system is mathematically studied.