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SUMMARY:Translational biomedical informatics research in a clinical neuros
 urgery environment - Xiao Hu\, University of California\, Los Angeles
DTSTART:20100909T121500Z
DTEND:20100909T130000Z
UID:TALK26024@talks.cam.ac.uk
CONTACT:19646
DESCRIPTION:In this talk\, I will first cover general topics related to ou
 r long-term vision\, experience\, and existing infrastructure in supportin
 g translational biomedical informatics research in a neurosurgical departm
 ent. These topics will include our philosophy of team construction\, the p
 roblems facing modern healthcare where amount of data to make sense is esc
 alating\, and in particular\, the problems with current monitoring practic
 e in an intensive care unit. I will then introduce a new direction we are 
 pursuing to provide cognitive support for the medical decisions in ICU whe
 re continuous data are abundant.  The second part of talk will cover three
  published papers from our group related to applying signal processing/mod
 elling and machine learning techniques to intracranial pressure and cerebr
 al hemodynamic signals. The first paper described an approach that combine
 s an advanced intracranial pressure pulse morphology characterization meth
 od with pattern recognition techniques to predict acute intracranial press
 ure elevation.  The second paper described a similar technique that can pr
 ovide continuous monitoring of global cerebral hypoperfusion\, as validate
 d by Xeon133 CBF\, using morphological features of intracranial pressure. 
 The last paper utilized the concept of pulse wave propagation in the cereb
 ral vasculature to derive a model of pulse onset latency relative to ECG Q
 RS peak from an intracranial (for example\, cerebral blood flow velocity a
 t THE MCA) and that of an extracranial pulse signal (for example\, arteria
 l blood pressure pulse at the radial artery). Using this model\, one can r
 educe confounding extracranial influence on using intracranial pulse onset
  latency to characterize the cerebral vasculature as validated by a datase
 t from a cuff test experiment as presented in the paper.
LOCATION:University Department of Neurosurgery\, Neurosciences Seminar Roo
 m\, Level 2\, B Spur
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