Nowadays, wireless systems are more and more important in biomedical world, both to eliminate cables encumbrance as well as integration of embedded systems inside Internet of Things (IoT) world. In days where electronic health and fitness monitoring, as well as telemedicine are well-studied topics, the need for a fast, reliable and at low power consumption wireless protocol is of extreme importance. This master thesis project aims to analyze and characterize performances of different wireless communication protocols, both already existing and not, to send sEMG (surface Electromyography) data acquired with custom PCB boards using classical front-end electronics together with Average Threshold Technique (ATC).