Statistically optimal filtering of averaged ABRS

Author

Agarwal, Rajeev ; Plotkin, E.I. ; Swamy, M.N.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1001

Abstract

The transient Auditory evoked Brainstem Response (ABR) requires the averaging of 2000 or more trials. A set of ABRs obtained at various stimulus intensity levels, for hearing threshold assessments can require 30-45 minutes. In an effort to reduce this acquisition time, the number of responses in the averaging is reduced resulting in noisy ABRs. Here, the authors use a damped sinusoid model of the ABRs and present a method of reducing the noise in the averaged ABRs. The new method is a two step procedure that first estimates some of the ABR model parameters which are used to form a statistically optimal line-enhancer. An ABR example is presented to show the effectiveness of this approach

Keywords

auditory evoked potentials; brain models; filtering theory; medical signal processing; 30 to 45 min; acquisition time reduction; damped sinusoid model; electrodiagnostics; hearing threshold assessments; model parameters estimation; statistically optimal filtering; statistically optimal line-enhancer; stimulus intensity level; transient auditory evoked brainstem response; Acoustic measurements; Aging; Auditory system; Background noise; Electroencephalography; Filtering; Filters; Frequency; Niobium; Noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579416

Filename

579416