Identification of normal and depression EEG signals in variational mode decomposition domain.

Akbari, Hesam; Sadiq, Muhammad Tariq; Siuly, Siuly; Li, Yan; Wen, Paul

Akbari, Hesam; Sadiq, Muhammad Tariq; Siuly, Siuly; Li, Yan; Wen, Paul.

Afiliação

Akbari H; Department of Biomedical Engineering, Islamic Azad University, Tehran, 1584715414 Iran.
Sadiq MT; School of Architecture, Technology and Engineering, University of Brighton, Brighton, BN2 4AT UK.
Siuly S; Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, 3011 Australia.
Li Y; School of Mathematics Physics and Computing, University of Southern Queensland, Toowoomba Campus, 4350 Australia.
Wen P; School of Engineering, Victoria University, Melbourne, University of Southern Queensland, Toowoomba Campus, 4350 Australia.

Health Inf Sci Syst ; 10(1): 24, 2022 Dec.

Article em En | MEDLINE | ID: mdl-36061530

Palavras-chave

Classification; Depression detection; Depression diagnostic index; Electroencephalogram; Variational mode decomposition

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Health Inf Sci Syst Ano de publicação: 2022 Tipo de documento: Article

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