Translational biomedical informatics research in a clinical neurosurgery environment

Add to your list(s) Download to your calendar using vCal

• Xiao Hu, University of California, Los Angeles
• Thursday 09 September 2010, 13:15-14:00
• University Department of Neurosurgery, Neurosciences Seminar Room, Level 2, B Spur.

If you have a question about this talk, please contact Marek Czosynka <mc141.

In this talk, I will first cover general topics related to our long-term vision, experience, and existing infrastructure in supporting translational biomedical informatics research in a neurosurgical department. These topics will include our philosophy of team construction, the problems facing modern healthcare where amount of data to make sense is escalating, and in particular, the problems with current monitoring practice 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 where continuous data are abundant. The second part of talk will cover three published papers from our group related to applying signal processing/modelling and machine learning techniques to intracranial pressure and cerebral hemodynamic signals. The first paper described an approach that combines an advanced intracranial pressure pulse morphology characterization method with pattern recognition techniques to predict acute intracranial pressure elevation. The second paper described a similar technique that can provide continuous monitoring of global cerebral hypoperfusion, as validated by Xeon133 CBF , using morphological features of intracranial pressure. The last paper utilized the concept of pulse wave propagation in the cerebral vasculature to derive a model of pulse onset latency relative to ECG QRS peak from an intracranial (for example, cerebral blood flow velocity at THE MCA ) and that of an extracranial pulse signal (for example, arterial blood pressure pulse at the radial artery). Using this model, one can reduce confounding extracranial influence on using intracranial pulse onset latency to characterize the cerebral vasculature as validated by a dataset from a cuff test experiment as presented in the paper.

This talk is part of the Computational Neuroscience series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Biology
• Biology
• CBL important
• CamBridgeSens
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge Neuroscience Seminars
• Cambridge talks
• Chris Davis' list
• Computational Neuroscience
• Computational and Biological Learning Seminar Series
• Featured lists
• Guy Emerson's list
• Hanchen DaDaDash
• Inference Group Journal Clubs
• Inference Group Summary
• Information Engineering Division seminar list
• Interested Talks
• Life Science
• Life Science Interface Seminars
• Life Sciences
• Life Sciences
• ME Seminar
• Neuroscience
• Neuroscience Seminars
• Neuroscience Seminars
• Quantum Matter Journal Club
• Required lists for MLG
• Stem Cells & Regenerative Medicine
• TQS Journal Clubs
• Trust & Technology Initiative - interesting events
• University Department of Neurosurgery, Neurosciences Seminar Room, Level 2, B Spur
• bld31
• custom
• dh539
• kt532's list
• my_list
• ndk22's list
• ob366-ai4er
• other talks
• rp587
• se456's list
• yk373's list

Note that ex-directory lists are not shown.