title: A new diagnostic vestibular evoked response.
abstract: OBJECTIVE
  To describe the development of a new clinically applicable method for assessing vestibular function in humans with particular application in Meniere's disease.
  
  
  METHODS
  Sophisticated signal-processing techniques were applied to data from human subject undergoing tilts stimulating the otolith organs and semicircular canals. The most sensitive representatives of vestibular function were extracted as "features".
  
  
  METHODS
  After careful consideration of expected response features, Electrovestibulography, a modified electrocochleography, recordings were performed on fourteen Meniere's patients and sixteen healthy controls undergoing controlled tilts. The data were subjected to multiple signal processing techniques to determine which "features" were most predictive of vestibular responses.
  
  
  RESULTS
  Linear discriminant analysis and fractal dimension may allow data from a single tilt to be used to adequately characterize the vestibular system.
  
  
  CONCLUSIONS
  Objective, physiologic assessment of vestibular function may become realistic with application of modern signal processing techniques.
authors.affiliation: Department of Electrical & Computer Engineering, University of Manitoba, Room E3-512 Eng. Bldg., 75A Chancellor's Circle, Winnipeg, MB R3T 5V6 Canada.
authors.forename: Zeinab A
authors.initials: ZA
authors.lastname: Dastgheib
authors.affiliation: EVestG Research Lab, Riverview Health Centre, Room PE446, 1 Morley Avenue, Winnipeg, MB R3L2P4 Canada.
authors.forename: Brian
authors.initials: B
authors.lastname: Lithgow
authors.affiliation: Department of Otolaryngology - Head and Neck Surgery, University of Manitoba, GB421 - 820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9 Canada.
authors.forename: Brian
authors.initials: B
authors.lastname: Blakley
authors.affiliation: Department of Electrical & Computer Engineering, University of Manitoba, 75A Chancellor's Circle, Winnipeg, MB R3T 5V6 Canada.
authors.forename: Zahra
authors.initials: Z
authors.lastname: Moussavi
mesh_terms: D000328:Adult; D001300:Audiometry, Evoked Response / Q000379:methods*; D001315:Australia; D003055:Cochlear Microphonic Potentials; D005260:Female; D006801:Humans; D008297:Male; D008575:Meniere Disease / Q000175:diagnosis* / Q000628:therapy; D008875:Middle Aged; D012494:Sampling Studies; D012665:Semicircular Canals / Q000503:physiopathology; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D012815:Signal Processing, Computer-Assisted
keywords: Classification; EVestG; Fractal dimension; Meniere’s disease; Vestibular response