automated preprocessing pipe-line for the estimation of scale-wise entropy from eeg data (appleseed) (MathWorks Inc)
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Automated Preprocessing Pipe Line For The Estimation Of Scale Wise Entropy From Eeg Data (Appleseed), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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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
Journal: Developmental Cognitive Neuroscience
doi: 10.1016/j.dcn.2022.101163
Figure Legend 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.
Techniques Used: Sampling
Figure Legend 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.
Techniques Used: Produced, Immunocytochemistry