Multivariate, Multiorgan and Multiscale Integration of Information in Biomedical Signal Processing

Biomedical signals carry important information about the behaviour of the living systems under observation. Proper processing of these signals allows us to obtain useful physiological and clinical information. This lecture emphasises advanced methods which allow the integration of information from different organs, modalities and scales. Applications are in the study of cardiovascular system and in neuroscience.

Sergio Cerutti is Professor of Biomedical Signal and Data Processing at the Department of Biomedical Engineering of the Polytechnic University, Milan, Italy. Since November 2000, he is the Chairman of the Department. His research interests are mainly in the following topics: biomedical signal processing (ECG, blood pressure signal and respiration, cardiovascular variability signals, EEG, and evoked potentials), cardiovascular modeling, neurosciences, medical informatics, and regulation and standards in medical equipments and devices. Since March 1983 he has also taught a course at a graduate level on Biomedical Signal Processing at Engineering Faculties (Milan and Roma) and at Specialization Schools of Medical Faculties (Milan and Roma). Prof. Cerutti was an elected member of IEEE-EMBS AdCom (Region 8) in the period 1993–1996. He is actually Fellow Member of IEEE and AEMBES.