Prof. Giancarlo Ferrigno
Bachelor of Science courses
086030 – BIOELETTROMAGNETISM AND BIOMEDICAL INSTRUMENTATION [I.C.]
Models and methods for the analysis of membrane potentials. Hodgkin-Huxley Model (H-H). Impulse propagation and conduction in fibres. Neuron models and networks. Extra-cellular potentials. Introduction to forward and inverse problem. Lead vector. Methods for the evaluation of electric and magnetic fields from/in biological tissues at low and high frequency. Electrical stimulation of biological system. Magnetic stimulation of the nervous system. Study of the biological effects of electromagnetic fields and dosimetry. Clinical meaning, characteristics and dimensionality of biomedical signals. Biomedical instrumentation: definition, characteristics and classification. Biological-technological interfaces and related problems: reliability, safety, signal to noise ratio, interferences. Transduction and signal conditioning : amplification, filtering and A/D conversion. Biomedical sensors: classification and principles of transduction. Force and displacement sensors, pressure and flow transduction. Piezoelectric devices and ultrasounds. Temperature sensors and radiation thermometry. Optical measurements and related instrumentation.
Master of Science courses
051148 – TECHNOLOGIES FOR MOTOR BEHAVIOUR ANALYSIS AND VIRTUAL MODELLING [I.C.]
identification and suppression; off-line and real time trajectory tracking with markers and markerless; calibration and 3D reconstruction.
Dr. Elena De Momi
Master of Science courses
052373 – MEDICAL ROBOTICS AND TECHNOLOGIES FOR COMPUTER AIDED SURGERY LABORATORY
During the first half of the course timeframe, students will attend lectures on – Geometrical transformations in space – Computer assisted surgical interventions and image guided surgery – Robots kinematics (direct and inverse), robot Jacobian – Dynamics (direct and inverse) – Robot control – force/ position control Practical lectures will be based on Matlab Tools for robotics. Visits to robotics laboratories in prestigious Italian research centres will be scheduled, as well as seminars by surgeons using robotic devices in the current routine. Every week, during classroom hours, small implementation projects on robotic tasks are assigned to students, supervised by two tutors. Each student can autonomously work on his/ her PC or consult class mates for help. Not completed project are assigned as homework and then uploaded on Beep. Solutions are uploaded by tutors, as well. Innovative teaching methods: To complement the project activities and to stimulate active learning, the structuring skills of thinking and knowledge and the assessment among colleagues, each group of students is responsible for examining a specific topic that will be presented and discussed with other students in flipped/blended classroom modality. Each group is supervised by a tutor of the lab. The exam method includes the evaluation of exercises, of the project and the interview on theory aspects explained during lecture hours. It should be noted that this is a limited number access course.
The course aims to provide methodological and operational foundations for technology assessment in clinical settings. Scientific tools will be provided which are necessary to an engineer for participating in the processes by which these technologies can be designed, regulated, introduced into the market and used in the healthcare system. The purpose is to provide objective elements required to develop decision-making policies for the proper use of technologies in clinical applications. The course will take advantage of the collaboration of Clinical Engineers operating in the healthcare facility which will illustrate practical examples and case studies.
The course offers students the possibility of acquiring knowledge and skills in the design of smart spaces for human care. Starting from the current trends in healthcare design, a new interdisciplinary approach is presented for the training activities of modern engineers. The goal of the course is to acquire knowledge of the most advanced technologies, spaces and infrastructures to manage patient care, including data and data transfer, advanced diagnostic, healthcare and hospital design, therapeutics and rehabilitation in spaces specifically designed to fully exploit them in the different medical areas of the hospital (inpatient room, diagnostic room, intensive care unit, surgical room, rehabilitation room, etc.). The professors involved in the course have different backgrounds and fields of interest related to biomedical engineering, hospital design, public health and healthcare management, etc. This multidisciplinary approach allows to enrich the knowledge to the student for overcoming the new frontiers in healthcare sector.