Taking (Small) Models to the Point of Care
Dr. Thomas Heldt
Assistant Professor, Electrical and Biomedical Engineering
W.M. Keck Career Development Professor of Biomedical Engineering
Massachusetts Institute of Technology (MIT)
Tuesday, October 4, 2016
Clark Hall 110 (Homewood Campus)
Video-teleconferenced to Traylor 709 (Medicine Campus)
Lunch will be provided at 12:00 PM (Homewood location only)
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Abstract: Large volumes of heterogeneous data are now routinely collected and archived from patients in a variety of clinical environments, to support real-time decision-making, monitoring of disease progression, and titration of therapy. This rapid expansion of available physiological data has resulted in a data-rich – but often knowledge-poor – environment. Yet the abundance of clinical data also presents an opportunity to systematically fuse and analyze the available data streams, through appropriately chosen mathematical models, and to provide clinicians with insights that may not be readily extracted from visual review of the available data streams.
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. In the first part of the talk, I will present 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. In the second part of the talk, I will present our work on extracting clinically meaningful and actionable information from the shape of the capnogram, with applications to differentiating respiratory and cardiac causes of shortness of breath.
Information on ICM seminars and links to previous talks can be found at http://www.icm.jhu.edu/calendar