title: Biomedical signal and image processing.
abstract: Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.
authors.affiliation: Dipartimento di Bioingegneria, Politecnico di Milano, Italy.
authors.forename: Sergio
authors.initials: S
authors.lastname: Cerutti
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Baselli
authors.forename: Anna
authors.initials: A
authors.lastname: Bianchi
authors.forename: Enrico
authors.initials: E
authors.lastname: Caiani
authors.forename: Davide
authors.initials: D
authors.lastname: Contini
authors.forename: Rinaldo
authors.initials: R
authors.lastname: Cubeddu
authors.forename: Fabio
authors.initials: F
authors.lastname: Dercole
authors.forename: Luca
authors.initials: L
authors.lastname: Rienzo
authors.forename: Diego
authors.initials: D
authors.lastname: Liberati
authors.forename: Luca
authors.initials: L
authors.lastname: Mainardi
authors.forename: Paolo
authors.initials: P
authors.lastname: Ravazzani
authors.forename: Sergio
authors.initials: S
authors.lastname: Rinaldi
authors.forename: Maria
authors.initials: M
authors.lastname: Signorini
authors.forename: Alessandro
authors.initials: A
authors.lastname: Torricelli
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering; D003952:Diagnostic Imaging; D004568:Electrodiagnosis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D012815:Signal Processing, Computer-Assisted