Title :
EVestG signals: Feature selection
Author :
Lithgow, B.J. ; Heibert, D.
Author_Institution :
Diagnostic & Neurosignal Process. Group, Monash Univ., Clayton, VIC, Australia
fDate :
April 29 2009-May 2 2009
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;
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
DOI :
10.1109/NER.2009.5109372
