Pietro Bonizzi (P.)
My research background is in biomedical engineering with a focus on biomedical signal processing. The broad goal of my research is to provide medical doctors efficient diagnostic methods to improve the interpretation of the pathophysiological state of a patient, and yield information about pharmacological or surgical outcomes, thus helping medical doctors to define, evaluate, and tailor therapies. My research interests are on signal processing, time series analysis, time series decomposition, time-frequency analysis, with application to biomedical signals, in particular to the study of the complexity and level of organization of biological signals, with a specific focus on assessing the complexity of the atrial substrate for the generation and maintenance of atrial fibrillation. Over the last years I have also developed an interest on ECG-Imaging, a cardiac mapping technique that noninvasively images electrical activation and recovery directly at the heart surface.
My research interests are on signal processing, time series analysis, time series decomposition, time-frequency analysis, with application to biomedical signals, and on ECG-Imaging.
Professional career history
- January 2013 - present: Assistant Professor at the Department of Data Science and Knowledge Engineering, Maastricht University
- January 2011 - December 2012: Post doc Researcher in Biomedical Signal and Image Processing at the Department of Knowledge Engineering, Maastricht University
- 2006-2010: PhD. in Biomedical Signal Processing at the University of Nice-Sophia Antipolis, Nice, France.
Early stage training within the Marie Curie Action of the European Union (European Label).