Chunk #14 — 2. Materials and Methods — 2.2. Preprocessing Algorithms — 2.2.2. Orthogonal Empirical Model Decomposition

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Identifying patients with poststroke mild cognitive impairment by pattern recognition of working memory load-related ERP.

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EMD is a data-adapted interactive method, which can decompose any complicated time series into additive components with multiscale features; that is, (3)f(t)=∑j=1Mgoj(t)+rM+1(t).