SSA of biomedical signals: A linear invariant systems approach

Figueiredo, N.; Georgieva, P.; Lang, E.W.; Santos, I.M.; Teixeira, A.R.; Tomé, A.M.

http://hdl.handle.net/10400.26/47395

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Resumo(s)

Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters. The number of filters is determined by the embedding dimension.We propose to explicitly define the frequency response of each filter responsible for the selection of informative components. We also introduce a subspace distance measure for clustering subspace models. We illustrate the methodology by analyzing Electroencephalograms (EEG).

Palavras-chave

SSA linear invariant systems signal enhancement subspace distances

URI

http://hdl.handle.net/10400.26/47395

Editora

[International Press of Boston]

DOI

10.4310/SII.2010.v3.n3.a8

Coleções

ESEC - Artigos em revistas

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