DocumentCode
319740
Title
The brainstem auditory evoked potentials estimation using a Bayesian deconvolution method
Author
Nait-Ali, Amine M. ; Adam, Olivier ; Motsch, Jean-François
Author_Institution
Lab. d´´Etudes et de Recherches en Instrum., Signaux et Syst., Univ. Paris 12, Paris, France
Volume
4
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1516
Abstract
This paper presents a new approach for estimating the Brainstem Auditory Evoked Potentials (BAEP). The originality of this method is that it is not content only on the observation defined as the response to the stimulation, but integrates also information about the stimulus and the Evoked Potentials (EPs) properties. The authors model the physiological system by a linear one and the problem that faces them is considered as an inverse problem. The EP are then estimated adaptively by maximizing an appropriate a posteriori distribution (MAP). Finally an interesting result on the BAEP is discussed
Keywords
Bayes methods; adaptive signal processing; auditory evoked potentials; electroencephalography; inverse problems; physiological models; Bayesian deconvolution method; a posteriori distribution; brainstem auditory evoked potentials estimation; evoked potentials properties; linear system; physiological system model; Bayesian methods; Brain modeling; Covariance matrix; Deconvolution; Electroencephalography; Headphones; Instruments; Inverse problems; Vectors; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.647530
Filename
647530
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