• DocumentCode
    1822256
  • Title

    A prediction model for differentiating chronic pain patients and healthy subjects based on withdrawal reflex EMG signals

  • Author

    Nguyen, G.P. ; Manresa, J.A.B. ; Curatolo, M. ; Moeslund, T.B. ; Andersen, O.K.

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2011
  • fDate
    April 27 2011-May 1 2011
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    The nociceptive withdrawal reflex (NWR) has been proven to be a valuable tool in the objective assessment of spinal cord hyperexcitability that is present in chronic pain disorders. However, most of the studies on objective assessment of central sensitisation focus on population differences between patients and healthy individuals and do not provide tools for individual assessment. In this study, a method was developed to objectively assess pain hyperexcitability in individuals using the NWR. Results showed high rate of correct assessment with up to ~80% when differentiating between healthy volunteers and chronic pain patients.
  • Keywords
    diseases; electromyography; medical disorders; medical signal detection; neurophysiology; prediction theory; EMG signals; chronic pain disorders; healthy volunteers; nociceptive withdrawal reflex; prediction model; spinal cord hyperexcitability; Electrodes; Electromyography; Histograms; Pain; Predictive models; Probability distribution; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
  • Conference_Location
    Cancun
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-4140-2
  • Type

    conf

  • DOI
    10.1109/NER.2011.5910496
  • Filename
    5910496