ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Sensoristica e strumentazione biomedica
1st semester (27/09/2021 - 21/01/2022)
52 lesson hours
Basic knowledge of statistics and signal processing, usually acquired from the course on biosignal and bioimage processing.
Basic knowledge of information transmission systems, to comprehend the main communication standards for wireless sensor networks.
Ability to choose the best network architecture and elements for applications related to monitoring, processing and transmission of biomedical data and signals.
Elements of signal processing and architecture for wearable and implantable biosensors.
Point-to-point transmission systems, modulation and coding of information sources.
Basic notions of Wireless sensor network architectures: sensors, communication nodes or motes, data gateways and processing elements.
Main network topologies. Radio communication techniques for sensor networks: from physical layer to routing protocols.
Wearable and implantable biosensor technologies: biosensors principle with DNA, antibodies, enzymes, and by redox reactions and Faradaic processes, amperometric biosensing.
Signal processing on sensed data: linear and nonlinear filtering techniques.
Laboratory activities on design platforms for wireless communication systems and sensors, focused on biomedical applications.
Lectures (hours/year in lecture theatre): 42
Workshops (hours/year in a lab): 10
The lectures are given using slides, providing additional explanations and examples at the blackboard. Laboratory activities are based on “hands on” experience with real sensors and wireless networks.
Reccomended or required readings
Wireless communication system section: H. Karl, A. Willig, “Protocols and Architectures for Wireless Sensor Networks,” Wiley, 2005.
Biosensor section: Sandro Carrara, Bio/CMOS interfaces and Co-Design, Springer publisher, New York, 2013
The final exam is an oral test devoted to score the student knowledge by means of four/five questions, starting from a candidate-selected topic that may include the presentation and discussion of the results of one or more projects developed during the lab activities. The minimum score to pass the exam is 18, the top score is 30 cum laude.
Sustainable development goals - Agenda 2030