Portale di Ateneo - En.Unibs.it

The main learning objective is to present the student with the effective use of numerical analysis methods applied to data and signals within different biomedical applications, with a strong interest in health and well-being. The course will emphasize the importance of processing biomedical data and signal, starting from the aspects most related to clinical and diagnostic evaluation and coming to the most ongoing challenges related to the analysis of the signals in man-machine interfaces. The course goes to briefly recall the basic principles of processing of the signals, going then to involve the student in practical experiences of processing and biomedical data application, thus bringing notable examples of biomedical signals (EMG, ECG, EEG, voice signal, human movements, etc.). The methods presented are aimed to address the biomedical data for their importance from both the clinical-diagnostic point of view (e.g. epilepsy, sleep disorders, arrhythmias, etc.) and also for human-machine interface (e.g. myoelectrically controlled prosthesis, gaming, mHealth and mobile applications, etc.). At the end of the course the student will therefore provide a good knowledge addressing the management of the different presented methods of analysis and of the possible interesting biomedical applications concerning health and wellness.