Automatic detection of sleep apnea events based on inter-band energy ratio obtained from multi-band EEG signal.

Saha, Suvasish; Bhattacharjee, Arnab; Fattah, Shaikh Anowarul

Saha, Suvasish; Bhattacharjee, Arnab; Fattah, Shaikh Anowarul.

Afiliação

Saha S; Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Bhattacharjee A; Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Fattah SA; Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Healthc Technol Lett ; 6(3): 82-86, 2019 Jun.

Article em En | MEDLINE | ID: mdl-31341633

Palavras-chave

K-nearest neighbourhood classifier; apnoea patient; automatic detection; electroencephalography; electroencephalography signal analysis; feature extraction; interband energy ratio features; medical disorders; medical signal detection; medical signal processing; multiband EEG signal; nearest neighbour methods; nonapnoea events; signal classification; sleep; sleep apnoea events; sleep disorder; subject-specific classification

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article