Courses

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.]

The lectures present the details of the core technologies for detection and interactive virtualization of human motor gestures and daily life activities. The topics include: Technologies for measurement of myoelectric activity: signal generation; positioning, geometry and electrochemical nature of electrodes; biological and environmental noise; amplifiers; sources of noise. Technologies for measures of subject-environment interaction: sensors and signal conditioning units; amplifiers; pressure maps; sources of signal distortions. Technologies for measurement of body kinematics: interfacing features; sensors; information recognition and extraction; signal processors; noise
identification and suppression; off-line and real time trajectory tracking with markers and markerless; calibration and 3D reconstruction.

Prof. Alessandra Pedrocchi

 

 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

 
The goal of the class is to introduce to the basics of neuroengineering, presenting both the methods and the applications. The approach is doublefold. From neuroscience, the models and the computational methods are derived from the human cognition and sensorimotor control, such as reasoning methods, neural networks, genetic algorithms and kalman filters. From engineering, the models and the technologies are derived aiming at understanding and supporting neuromotor and neurosensory system functions, with special focus on neuroprostheses in rehabilitation, models of the visual system and perception and optoelectronic interfaces for the communication to neurons in vitro and in vivo.

PhD. Simona Ferrante

Bachelor of Science courses

052362 – PROGETTO [INFORMAZIONE]

L’insegnamento Progetto [Informazione] ha lo scopo di sviluppare la capacità di applicare la formazione maturata nel triennio, mediante lo svolgimento autonomo di un tema progettuale. Viene data importanza anche alla capacità di interazione in lavoro di squadra e di presentazione del lavoro svolto e dei risultati raggiunti.
All’inizio dell’insegnamento gli studenti vengono suddivisi in gruppi di lavoro e ad ogni gruppo viene assegnato un progetto che verte sui seguenti temi: sviluppo di metodi di elaborazione di dati diagnostici e fisiologici, estrazione di parametri, classificazione, trattamento di informazioni biologiche e mediche e dei relativi aspetti organizzativi, approfondimenti teorici e pratici sulla sensoristica e la strumentazione biomedicale per la misura e il monitoraggio di parametri vitali, per la valutazione funzionale di sistemi fisiologici, per uso terapeutico e di supporto funzionale.
L’insegnamento prevede 2 CFU erogati con Didattica Innovativa: Soft Skills.

Master of Science courses

 

Information and Communications Technology (ICT) is a key component to ensuring quality, safety, access and efficiency in healthcare. This course introduces current approaches and future directions in e-health and the use of ICT in healthcare in general, as well as key concepts and tools from the underlying discipline of health informatics.
Topics include: electronic health records (EHRs); hospital and primary care and public health information systems; supporting clinical decision-making for health professionals through ICT; e-health in the community for preventive healthcare and for patient and career support; regulatory influences on e-health including management and governance, privacy, security, and confidentiality; the role of data standards, vocabularies, and nomenclatures in e-health; research and development in e-health.

096259 – MEDICAL INFORMATICS [C.I] 2016-2017

The basic topics of health-care information and communication technologies are described for both the clinical and the bio-medical research settings. Part one: Instruments – Querying of databases; digital clinical records for the institutions and for the patient; healthcare smart card; consumer health web sites; medical terminology dictionaries; medical digital libraries; biosignal and bio-image archives; genomic databanks; computerized clinical practice guidelines; telemedicine and telehealth; medical data protection; standards for medical informatics. Part two: Processes – The information system supporting the patient pathway: the scenario of healthcare organization; information and communication needing; the modeling of processes applying Unified Modeling Language (UML) and Workflow technologies; the Healthcare Information and Communication Technology (HI&CT) building yard with its roles, responsibilities, and co-operating operativenesses; elements for the internationalization of the scenario, the standards, and the market.

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