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
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