Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology, Boston, USA
IEEE-EMBS Distinguished Lecturers Program
DEIB - Conference Room "E. Gatti" (building 20)
November 26th, 2019
2.30 pm
Contacts:
Sergio Cerutti
Research Line:
Analysis of biological systems and e-health
In this talk, I will highlight our work in model-based signal processing to derive additional and clinically useful information from routinely available data streams. I will mostly focus on our model-based approach to noninvasive, patient-specific and calibration-free estimation of intracranial pressure, and will elaborate on the challenges of collecting high-quality clinical data for validation and the associated signal processing approaches we have developed to overcome these challenges. I will also highlight novel device technologies for clinical neuromonitoring motivated by our advancements in model-based signal processing.
Thomas's research interests focus on signal processing, mathematical modeling and model identification in support of real-time clinical decision making, monitoring of disease progression, and titration of therapy, primarily in neurocritical and neonatal critical care. In particular, Thomas is interested in developing a mechanistic understanding of physiologic systems, and in formulating appropriately chosen computational physiologic models for improved patient care. His research is conducted in close collaboration with clinicians from Boston-area hospitals, where he is integrally involved in designing and deploying high-quality data-acquisition systems and collecting clinical data.