WaveSleepNet: An interpretable deep convolutional neural network for the continuous classification of mouse sleep and wake.

Kam, Korey; Rapoport, David M; Parekh, Ankit; Ayappa, Indu; Varga, Andrew W

Kam, Korey; Rapoport, David M; Parekh, Ankit; Ayappa, Indu; Varga, Andrew W.

Afiliação

Kam K; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, USA. Electronic address: korey.kam@mssm.edu.
Rapoport DM; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, USA.
Parekh A; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, USA.
Ayappa I; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, USA.
Varga AW; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, USA. Electronic address: andrew.varga@mssm.edu.

J Neurosci Methods ; 360: 109224, 2021 08 01.

Article em En | MEDLINE | ID: mdl-34052291

Assuntos

Eletroencefalografia; Fases do Sono; Animais; Humanos; Camundongos; Redes Neurais de Computação; Sono; Sono REM

Palavras-chave

Autoscoring; Computer vision; Machine learning; Sleep disruption; Wavelets

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fases do Sono / Eletroencefalografia Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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