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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647530
