George Verghese earned his BTech’74 from IIT Madras, his MS’75 from SUNY Stony Brook, and his PhD’79 from Stanford, all in electrical engineering. He then joined the faculty of the EECS Department at MIT, where is now Henry Ellis Warren (1894) Professor of Electrical and Biomedical Engineering, and co-directs the Computational Physiology and Clinical Inference Group in MIT’s Research Laboratory of Electronics. His earlier research activities were in power systems and power electronics (for which he coauthored a textbook), but have been in biomedicine for the past dozen years. He is a MacVicar Fellow at MIT for distinction in undergraduate education, and is an IEEE Fellow.
Large volumes of high-resolution monitoring data are collected at the bedside in critical care units, and more modest amounts are obtained on the general wards and in ambulatory settings. It is generally the case, however, that only surface use is made of this data. At the time-scale of seconds to minutes to hours, physiological models of the involved organ systems can be very helpful in summarizing and making deeper sense of the data, and extracting parameters of clinical interest. The challenge is to develop meaningful but simple computational models that can run robustly and in real time at the bedside. The talk will describe some explorations of this “bedside informatics” paradigm, most importantly for noninvasive estimation of intracranial pressure.