• 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