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Independent component analysis for biomedical signals

    https://iopscience.iop.org/article/10.1088/0967-3334/26/1/R02
    Independent component analysis (ICA) is increasing in popularity in the field of biomedical signal processing. It is generally used when it is required to separate measured multi-channel biomedical signals into their constituent underlying components.

INDEPENDENT COMPONENT ANALYSIS OF …

    https://sccn.ucsd.edu/~scott/pdf/ICA00b.pdf
    Biomedical signals from many sources including hearts, brains and endocrine systems pose a challenge to researchers who may have to separate weak signals arriving from multiple …

Independent component analysis: an introduction - PubMed

    https://pubmed.ncbi.nlm.nih.gov/15866182/
    Independent component analysis (ICA) is a method for automatically identifying the underlying factors in a given data set. This rapidly evolving technique …

Independent Component Analysis for Unraveling the …

    https://pubmed.ncbi.nlm.nih.gov/31500324/
    10 Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI, USR 3756 Institut Pasteur et CNRS), 75015 Paris, France. [email protected]. 11 …

(PDF) Independent component analysis for …

    https://www.researchgate.net/publication/7990905_Independent_component_analysis_for_biomedical_signals
    Independent component analysis (ICA) is increasing in popularity in the field of biomedical signal …

Independent Component Analysis Of …

    https://www.researchgate.net/publication/2464876_Independent_Component_Analysis_Of_Biomedical_Signals
    The applications of Independent Component Analysis (ICA) to biomedical signals is a rapidly expanding area of research and many groups are now actively …

INDEPENDENT COMPONENT ANALYSIS OF …

    https://www.semanticscholar.org/paper/INDEPENDENT-COMPONENT-ANALYSIS-OF-BIOMEDICAL-Jung-Makeig/13ea1db79a6e3d445574f3198cc63703fc6f638d
    This research attacked the mode of reinforcement learning using a probabilistic approach and found it to be a very simple and efficient way to model the brain’s response to …

Independent Component Analysis: Applications to …

    https://sccn.ucsd.edu/~scott/icabib.html
    Here we present a first application of this Independent Component Analysis (ICA) algorithm to human EEG data. Conceptually, ICA filtering separates the problem of …

Independent Component Analysis for Biomedical Signal …

    https://www.ijert.org/independent-component-analysis-for-biomedical-signal-separation-using-lamberts-continued-fraction
    subcomponents, independent component analysis (ICA) is used in signal processing such that one subcomponent is assumed to be a non- Gaussian signal and is …

Independent Component Analysis: Applications to …

    http://cnl.salk.edu/~jung/ica.html
    Independent component analysis applied to the single-trial data identiŞed at least eight classes of contributing components, including those producing cen- tral and lateral …



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