Research Interests
Dr Ercole has an extensive background in physical and statistical modelling as well as data science and computing. His research involves development of novel medical technology (in particular data analysis techniques but also sensor development and physiological measurement) and its application to the treatment of critically ill patients in particular. He is interested in physiological signal complexity (fractal dynamics, signal entropy) as an emergent behaviour of networks of non-linear dynamical systems or techniques from machine learning and time-series statistics to neurophysiological and clinical data to detect and characterise novel multidimensional interrelationships.