• DocumentCode
    2224689
  • Title

    EVestG signals: Feature selection

  • Author

    Lithgow, B.J. ; Heibert, D.

  • Author_Institution
    Diagnostic & Neurosignal Process. Group, Monash Univ., Clayton, VIC, Australia
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    618
  • Lastpage
    621
  • Abstract
    A vertical movement stimulus has been applied to 10 healthy subjects in the prone position and recordings of the vestibular responses made using an EVestG configuration. The response encoding has been examined using a novel Neural Event Extraction Routine (NEER) developed to detect otoacoustic field potentials. The potential measures 1. average field potential amplitude and 2. average number of field potentials detected per stimulus phase are examined for suitability as vestibular dynamic performance indices. Average field potential amplitude change produces the larger percentage change during vertical acceleration phases.
  • Keywords
    bioelectric potentials; biomedical measurement; feature extraction; mechanoception; medical signal processing; neurophysiology; otoacoustic emissions; EVestG signals; electrovestibulography; feature selection; neural event extraction routine; otoacoustic field potential; response encoding; vertical acceleration phase; vertical movement stimulus; vestibular dynamic performance; vestibular response; Acceleration; Acoustic signal detection; Event detection; Muscles; Neck; Neural engineering; Parkinson´s disease; Pathology; Phase detection; Steady-state; ECOG; EVestG; Vestibular; Wavelet; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109372
  • Filename
    5109372