Predicting postoperative delirium after cardiovascular surgeries from preoperative portable electroencephalography oscillations.

Hata, Masahiro; Miyazaki, Yuki; Nagata, Chie; Masuda, Hirotada; Wada, Tamiki; Takahashi, Shun; Ishii, Ryouhei; Miyagawa, Shigeru; Ikeda, Manabu; Ueno, Takayoshi

Hata, Masahiro; Miyazaki, Yuki; Nagata, Chie; Masuda, Hirotada; Wada, Tamiki; Takahashi, Shun; Ishii, Ryouhei; Miyagawa, Shigeru; Ikeda, Manabu; Ueno, Takayoshi.

Affiliation

Hata M; Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Miyazaki Y; Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Nagata C; Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka, Japan.
Masuda H; Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Wada T; Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Takahashi S; Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Ishii R; Department of Occupational Therapy, Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka, Japan.
Miyagawa S; Clinical Research and Education Center, Asakayama General Hospital, Osaka, Japan.
Ikeda M; Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan.
Ueno T; Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.

Front Psychiatry ; 14: 1287607, 2023.

Article de En | MEDLINE | ID: mdl-38034919

Mots clés

EEG; cardiovascular surgery; delirium; machine learning; power spectrum density

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Psychiatry Année: 2023 Type de document: Article Pays d'affiliation: Japon Pays de publication: Suisse

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