Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things

Nowadays, development of Internet of things (IoT), sensor networks, cyberspace has expanded to a smart learning environment. IoT provides new opportunities for Health Care. In the paper, we focus on diagnostics of diseases based on database with support of the IoT tools. Firstly, a mathematical database analysis technique that transforms a client request into an equivalent response of network with one more node based on client-server architecture written in Python and MATLAB is proposed. Then, a database analysis technique that employs machine learning with certain additional constraints is implemented. Experimental results show the efficiency and stability of the system.