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Scheda Riassuntiva
Anno Accademico 2017/2018
Tipo incarico Dottorato
Insegnamento 099057 - ADVANCED PROCESSING OF BIOMEDICAL SIGNALS AND DATA
Docente Cerutti Sergio
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1373) - BIOINGEGNERIA / BIOENGINEERINGAZZZZ099057 - ADVANCED PROCESSING OF BIOMEDICAL SIGNALS AND DATA

Programma dettagliato e risultati di apprendimento attesi

The teaching course is intended to provide PhD Students with the most advanced analysis tools about biomedical signal processing as well as their information fusion, through monographic seminars. These methods and techniques are getting a more and more relevant importance in physiological studies and in innovative clinical applications. A basic issue is the concept of integration of data and information among different channels (multivariate), different biomedical sources (multimodality), different organs (multiorgan) and, finally, across different scales (multiscale). That would allow to investigate information even at the level of the nanoscale, through what is defined as ”computational genomics and proteomics” and to rely this information with that one obtained at higher scales (cells, tissues, up to the entire body organ). Further, nonlinear properties of biological signals will be investigated, including chaotic and fractal behaviors. Such a complex information needs to be properly classified through data mining and machine learning approaches which will be recalled from a methodological point of view with its main applications in the biomedical context. Such an approach is intended as a way to get a vision of "integrative physiology" and, finally, towards a more “personalized concept” of Medicine. Examples will be taken from cardiovascular system, respiratory, central and autonomic nervous systems.

 

 


Note Sulla Modalità di valutazione

The evaluation will be made on the basis of a presentation from the Student of a research result (at his/her choice) on a topic in the area of Advanced Biomedical Signals and Data Processing which has been dealt with in the lessons. This presentation will consist of an equivalent of 15-20 ppt slides and the topic could be inherent or not to the research activity of the PhD Student.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

Lecture schedule:

February 19th 2018, h 9.30-13.30: Biosignals and Bioimages for pathophysiological Modelling. Multivariate, Multimodal and Multiscale analysis. Examples of fusion between Biosignals and Bioimages (Sergio Cerutti).

February 19th 2018, h 14.30-18.30: Multivariate Causality and Directionality. Applications to signals from Central Nervous System (Anna Maria Bianchi and Sergio Cerutti).

February 20th 2018, h 9.30-13.30: Non linear dynamical studies in biological systems and signals (Maria Gabriella Signorini)

February 21th 2018, h 14.30-18.30: Long-term correlation and fractal analysis. Entropy and regularity (Roberto Sassi).

February 22th 2018, h 9.30-13 .30: Data Mining and Classification (Manuela Ferrario, Riccardo Barbieri).

February 22th 2018, h 14.30-16.30: Highly irregular signal analysis: atrial fibrillation and AV node modelling (Valentina Corino).

February 23th 2018, h 9.30-13.30: Processing data models in genomics and proteomics (Sergio Cerutti).

26 h Lessons

15-20 h for the Student’s project development


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
26.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
20.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese

Note Docente
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
19/01/2021