Biosensors and ubiquitous computing

Aim:
Compare and select the most appropriate method from: neural, deep learning, fuzzy, evolutionary or hybrid method for any biomedical dataset. Successfully applying this method to analyze the results and compare and select the appropriate sensor for measuring each biomedical data. In addition, the student will construct appropriate sensor network structures and demonstrate the advantage of using networked sensors in the biomedical domain
Course contents:
introducing Types of sensors, Smart sensors technologies, Network architecture for ubiquitous computing, Use of the mobile technology, Ubiquitous computing software systems, Ubiquitous computing software systems, Applications in medical domain.