sample entropy sampen Search Results


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sample entropy  (MathWorks Inc)
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multiscale sample entropy function in  (MathWorks Inc)
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( A ) <t>Multiscale</t> entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .
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r package entropy  (Hausser Scientific)
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( A ) <t>Multiscale</t> entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .
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matlab software  (MathWorks Inc)
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( A ) <t>Multiscale</t> entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .
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Image Search Results


( A ) Multiscale entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .

Journal: Entropy

Article Title: Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment

doi: 10.3390/e27060572

Figure Lengend Snippet: ( A ) Multiscale entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .

Article Snippet: Multiscale entropy (MSE) was calculated for all EEG participants and electrodes using the Multiscale Sample Entropy function in MATLAB [ ], based on the MSE method proposed by Costa et al. [ ].

Techniques: