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Xiao Hu, PhD

Xiao Hu, PhD

Dr. Hu

Position

Associate Professor in Residence

Gender

 

Male

 

Hospital Affiliation

Ronald Reagan UCLA Medical Center
Department of Neurosurgery
David Geffen School of Medicine at UCLA
10833 Le Conte Avenue
Room 18-228 Semel Institute
Box 957039
Los Angeles , CA 90095 -7039

Contact

310-498-6136

EDUCATION

  • B.S. Biomedical Engineering, University of Electronic Science and Technology of China, Chengdu, China (1992-1996)
  • M.S. Biomedical Engineering, University of Electronic Science and Technology of China, Chengdu, China (1996-1999)
  • Ph.D. Biomedical Engineering Interdepartmental Graduate Program, University of California, Los Angeles, California (1999-2004)

RESEARCH AREA

Dr Hu’s research interests include clinical informatics and dynamics for improving diagnosis, treatment, monitoring and management of brain injury and stroke patients.He is Principal Investigator of two Ro1's for modeling dynamics of cerebral blood flow and intracranial pressure and the analysis of biomedical signals including intracranial pressure, cerebral blood flow velocity, arterial blood pressure, and heart rate variability. He is also active in research and development in medical informatics that involve large- scale clinical database, predictive data mining, and clinical decision support.

GRANTS

Active Projects
  • "Continuous-Signal Driven Predictive Models in Neurological Intensive Care Units", National Institutes of Health, Research Grant (R01), PI: Hu, Xiao, 5/2009-4/2013
  • "In Vivo CSF Shunt Hydrodynamics in Hydrocephalus", National Institutes of Health, Research Grant (R01), PI: Bergsneider, Marvin, Role: Key investigator, 2/2007-2/2012.
    • Completed Projects
  • "Intracranial Pressure Latency as a Biomarker of Cerebral Vasculature Status", Exploratory Research Grant (R21), Role: Principal Investigator, 1/2008-1/2010.
  • "Data Mining Based Noninvasive Intracranial Pressure Assessment", National Institute of Health, Exploratory Research Grant (R21), Role: Principal Investigator, 2/15/2007-2/14/2009.
  • "A Data Fusion Method for Bedside Monitoring of Lumped Cerebral Arterial Radii", National Institutes of Health, Exploratory Research Grant (R21), Role: Principal Investigator, 1/15/2007-1/14/2009.
  • "Discover Association between Intracranial Pressure Pulse Morphology and Abnormalities in CT Brain Images of Head Injury Patients", UCLA Core Faculty Research Grant Role: Principal Investigator, 7/1/2008-7/1/2009.
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    LINKS

    AWARDS/INVENTIONS

    • 2008-2009 UCLA Clinical and Translational Science Institute Scholar.
    • Honorary thesis, University of Electronic Science and Technology of China/ Chengdu, China, 06/1999
    • Graduation with Honor Granted from the Ministry of Electronics Industry of China, University of Electronic Science and Technology of China, Chengdu, China, 06/1996

    PUBLICATIONS (recent journal articles in three years)

    Read my PubMed publications

     

    1. P. Xu, M. Bergsneider, and X. Hu, "Pulse onset detection using neighbor pulse-based signal enhancement," Med Eng Phys, vol. 31, pp. 337-45, Apr 2009.
    2. X. Hu, A. W. Subudhi, P. Xu, S. Asgari, R. C. Roach, and M. Bergsneider, "Inferring cerebrovascular changes from latencies of systemic and intracranial pulses: a model-based latency subtraction algorithm," J Cereb Blood Flow Metab, vol. 29, pp. 688-97, Apr 2009.
    3. X. Hu, P. Xu, F. Scalzo, P. Vespa, and M. Bergsneider, "Morphological clustering and analysis of continuous intracranial pressure," IEEE Trans Biomed Eng, vol. 56, pp. 696-705, Mar 2009.
    4. F. Scalzo, P. Xu, S. Asgari, M. Bergsneider, and X. Hu, "Regression analysis for peak designation in pulsatile pressure signals," Med Biol Eng Comput, vol. 47, pp. 967-77, Sep 2009. 
    5. P. Xu, M. Kasprowicz, M. Bergsneider, and X. Hu, "Improved noninvasive intracranial pressure assessment with nonlinear kernel regression," IEEE Trans Inf Technol Biomed, vol. 14, pp. 971-8, Jul 2009.
    6. M. Sapo, S. Wu, S. Asgari, N. McNair, F. Buxey, N. Martin, and X. Hu, "A comparison of vital signs charted by nurses with automated acquired values using waveform quality indices," J Clin Monit Comput, vol. 23, pp. 263-71, Oct 2009.
    7. S. Asgari, P. Xu, M. Bergsneider, and X. Hu, "A subspace decomposition approach toward recognizing valid pulsatile signals," Physiol Meas, vol. 30, pp. 1211-25, Nov 2009.
    8. S. Asgari, M. Bergsneider, and X. Hu, "A robust approach toward recognizing valid arterial-blood-pressure pulses," IEEE Trans Inf Technol Biomed, vol. 14, pp. 166-72, Jan 2010.
    9. X. Hu, P. Xu, S. Asgari, P. Vespa, and M. Bergsneider, "Forecasting ICP elevation based on prescient changes of intracranial pressure waveform morphology," IEEE Trans Biomed Eng, vol. 57, pp. 1070-8, May 2010.
    10. X. Hu, P. Xu, S. Wu, S. Asgari, and M. Bergsneider, "A data mining framework for time series estimation," J Biomed Inform, vol. 43, pp. 190-9, Apr 2010.
    11. X. Hu, T. Glenn, F. Scalzo, M. Bergsneider, C. Sarkiss, N. Martin, and P. Vespa, "Intracranial pressure pulse morphological features improved detection of decreased cerebral blood flow," Physiol Meas, vol. 31, pp. 679-95, May 2010.
    12. M. Kasprowicz, S. Asgari, M. Bergsneider, M. Czosnyka, R. Hamilton, and X. Hu, "Pattern recognition of overnight intracranial pressure slow waves using morphological features of intracranial pressure pulse," J Neurosci Methods, vol. 190, pp. 310-8, Jul 15.
    13. S. Asgari, M. Bergsneider, R. Hamilton, P. Vespa, and X. Hu, "Consistent Changes in Intracranial Pressure Waveform Morphology Induced by Acute Hypercapnic Cerebral Vasodilatation," Neurocrit Care, Oct 29.
    14. F. Scalzo, S. Asgari, S. Kim, M. Bergsneider, and X. Hu, "Robust peak recognition in intracranial pressure signals," Biomed Eng Online, vol. 9, p. 61.
    15. S. Kim, X. Hu, D. McArthur, R. Hamilton, M. Bergsneider, T. Glenn, N. Martin, and P. Vespa, "Inter-Subject Correlation Exists Between Morphological Metrics of Cerebral Blood Flow Velocity and Intracranial Pressure Pulses," Neurocrit Care, Dec 7 2010.
    16. S. Kim, F. Scalzo, M. Bergsneider, P. Vespa, N. Martin, and X. Hu, "Noninvasive Intracranial Pressure Assessment based on Data Mining Approach using Nonlinear Mapping Function," IEEE Trans Biomed Eng, Nov 22, 2010.
    17. S. Kim, M. Bergsneider, and X. Hu, "A systematic study of linear dynamic modeling of intracranial pressure dynamics," Physiol Meas, vol. 32, pp. 319-336, Feb 1, 2011
    18. Asgari S, Subudhi A, Roach R, Liebeskind D, Bergsneider M, Hu X. An Extended Model of Intracranial Latency Facilitates Non-Invasive Detection of Cerebrovascular Changes. Journal of Neuroscience Methods (Accepted 1/2011)

     

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