Using machine learning to extract cognitive status from the sleep EEG in progressing stages of dementia: defining interpretable and age-related features.

Kam, Korey; Parekh, Ankit; Wickramaratne, Sajila; Varga, Andrew W

Kam, Korey; Parekh, Ankit; Wickramaratne, Sajila; Varga, Andrew W.

Afiliación

Kam K; Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Parekh A; Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Wickramaratne S; Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Varga AW; Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Sleep ; 46(3)2023 03 09.

Article en En | MEDLINE | ID: mdl-36585819

Asunto(s)

Demencia; Fases del Sueño; Humanos; Electroencefalografía; Demencia/diagnóstico; Aprendizaje Automático; Cognición; Sueño

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fases del Sueño / Demencia Límite: Humans Idioma: En Revista: Sleep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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