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    Number of sources uncertainty in blind source separation: application to EMG signal processing

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    Authors
    Snoussi, Hichem
    Khanna, Saurabh
    Hewson, David
    Duchêne, Jacques
    Issue Date
    2007-10-22
    Subjects
    uncertainty
    blind source separation
    electromyography
    medical signal processing
    
    Metadata
    Show full item record
    Abstract
    This contribution deals with the number of components uncertainty in blind source separation. The number of components is estimated by maximizing its marginal a posteriori probability which favors the simplest explanation of the observed data. Marginalizing (integrating over all the parameters) is implemented through the Laplace approximation based on an efficient wavelet spectral matching separating algorithm. The effectiveness of the proposed method is shown on EMG data processing.
    Citation
    Snoussi H, Khanna S, Hewson D, Duchene J (2007) 'Number of sources uncertainty in blind source separation: application to EMG signal processing', 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Lyon, IEEE.
    Publisher
    IEEE
    Journal
    PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4
    URI
    http://hdl.handle.net/10547/623471
    DOI
    10.1109/IEMBS.2007.4353852
    PubMed ID
    18003518
    Additional Links
    https://ieeexplore.ieee.org/document/4353852
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISSN
    1094-687X
    ae974a485f413a2113503eed53cd6c53
    10.1109/IEMBS.2007.4353852
    Scopus Count
    Collections
    Health

    entitlement

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