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entropy data  (DNASTAR)


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    DNASTAR entropy data
    Entropy Data, supplied by DNASTAR, used in various techniques. Bioz Stars score: 99/100, based on 4949 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/entropy data/product/DNASTAR
    Average 99 stars, based on 4949 article reviews
    entropy data - by Bioz Stars, 2026-03
    99/100 stars

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    The summarization of scale-wise entropy estimates by traditional frequency bands. For all considered sampling rates (250 Hz, 500 Hz, 1000 Hz), the scale range and total number of scales ( n ) that fell within each frequency band.

    Journal: Developmental Cognitive Neuroscience

    Article Title: The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations

    doi: 10.1016/j.dcn.2022.101163

    Figure Lengend Snippet: The summarization of scale-wise entropy estimates by traditional frequency bands. For all considered sampling rates (250 Hz, 500 Hz, 1000 Hz), the scale range and total number of scales ( n ) that fell within each frequency band.

    Article Snippet: Called the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED), this pipeline is made freely available as a fully automated and customizable MATLAB function that can be downloaded from https://github.com/mhpuglia/APPLESEED.

    Techniques: Sampling

    Preprocessing pipelines that produce reliable scale-wise entropy estimates. The eleven preprocessing pipelines that yielded significantly reliable results across the test (4-months-of-age) and retest (within 1 week) visits in both the face viewing and object viewing conditions across all scales and all electrode regions of interest. The values for the final, recommended APPLESEED parameters are highlighted in bold font, selected as the pipeline that produced scale-wise entropy estimates that demonstrate significant test-retest reliability in two independent samples and that are sensitive to developmental changes and cognitive state. ICC – intraclass correlation coefficient; p – p -value.

    Journal: Developmental Cognitive Neuroscience

    Article Title: The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations

    doi: 10.1016/j.dcn.2022.101163

    Figure Lengend Snippet: Preprocessing pipelines that produce reliable scale-wise entropy estimates. The eleven preprocessing pipelines that yielded significantly reliable results across the test (4-months-of-age) and retest (within 1 week) visits in both the face viewing and object viewing conditions across all scales and all electrode regions of interest. The values for the final, recommended APPLESEED parameters are highlighted in bold font, selected as the pipeline that produced scale-wise entropy estimates that demonstrate significant test-retest reliability in two independent samples and that are sensitive to developmental changes and cognitive state. ICC – intraclass correlation coefficient; p – p -value.

    Article Snippet: Called the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED), this pipeline is made freely available as a fully automated and customizable MATLAB function that can be downloaded from https://github.com/mhpuglia/APPLESEED.

    Techniques: Produced, Immunocytochemistry