[Discrimination of Chin Electromyography in REM Sleep Behavior Disorder Using Deep Learning].

Kinoshita, Fumiya; Nakayama, Meiho; Takada, Hiroki

Kinoshita, Fumiya; Nakayama, Meiho; Takada, Hiroki.

Kinoshita F; Graduate School of Engineering, Toyama Prefectural University.
Nakayama M; Department of Otolaryngology & Good Sleep Center, Nagoya City University.
Takada H; Graduate School of Engineering, University of Fukui.

Nihon Eiseigaku Zasshi ; 77(0)2022.

Article en Ja | MEDLINE | ID: mdl-35314576

Asunto(s)

Aprendizaje Profundo; Trastorno de la Conducta del Sueño REM; Anciano; Mentón; Electromiografía/métodos; Femenino; Humanos; Masculino; Trastorno de la Conducta del Sueño REM/diagnóstico; Sueño REM/fisiología

Palabras clave

REM sleep behavior disorder (RBD); REM sleep without atonia (RWA); average rectified value (ARV); chin electromyography; convolutional neural network (CNN); polysomnography (PSG); support vector machine (SVM)

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno de la Conducta del Sueño REM / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: Ja Año: 2022 Tipo del documento: Article

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