• DocumentCode
    2940499
  • Title

    Histogram based quantification of spinal cord injury level using somatosensory evoked potentials

  • Author

    Mir, Hasan ; Al-Nashash, Hasan ; Kerr, Douglas ; Thakor, Nitish ; All, Angelo

  • Author_Institution
    Dept. of Electr. Eng., American Univ. of Sharjah, Sharjah, United Arab Emirates
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    4942
  • Lastpage
    4945
  • Abstract
    This paper uses an entropy based metric to study the somatosensory evoked potential (SEP) in rodents afflicted with focal demyelination spinal cord injury (SCI). It has been shown that amplitude characteristics of the SEP signal are a strong indicator of the integrity of the spinal cord sensory pathways. Compared to conventional correlation based metrics, the metric used in this paper exploits the amplitude histogram of SEP signals to provide a robust assessment of the different degrees of demyelination in the spinal cord. Results are presented using actual SEP signals collected on rodents with various levels of SCI.
  • Keywords
    bioelectric potentials; injuries; medical signal processing; neurophysiology; somatosensory phenomena; SCI; SEP; entropy; somatosensory evoked potentials; spinal cord injury level; Correlation; Electric potential; Histograms; Injuries; Measurement; Spinal cord injury; Entropy; Somatosensory Evoked Potential (SEP); Spinal Cord Injury (SCI); Animals; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Somatosensory; Rats; Reproducibility of Results; Sensitivity and Specificity; Somatosensory Cortex; Spinal Cord Injuries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627238
  • Filename
    5627238