EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model.

Kim, Heejin; Kim, Ki Hong; Hong, Ki Jeong; Ku, Yunseo; Shin, Sang Do; Kim, Hee Chan

Kim, Heejin; Kim, Ki Hong; Hong, Ki Jeong; Ku, Yunseo; Shin, Sang Do; Kim, Hee Chan.

Afiliação

Kim H; Clinical Trials Center, Seoul National University Hospital, Seoul 03080, Korea.
Kim KH; Department of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Hong KJ; Department of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Ku Y; Department of Biomedical Engineering, Chungnam National University College of Medicine, 266 Munwha-ro, Jung-gu, Daejeon 35015, Korea.
Shin SD; Department of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Kim HC; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul 03080, Korea.

Sensors (Basel) ; 21(11)2021 May 24.

Article em En | MEDLINE | ID: mdl-34073915

Assuntos

Reanimação Cardiopulmonar; Parada Cardíaca; Animais; Eletroencefalografia; Parada Cardíaca/terapia; Hemodinâmica; Humanos; Suínos; Fibrilação Ventricular

Palavras-chave

cardiopulmonary resuscitation (CPR); carotid blood flow (CBF); classifier; electroencephalogram (EEG); machine learning (ML); real-time feedback

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reanimação Cardiopulmonar / Parada Cardíaca Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reanimação Cardiopulmonar / Parada Cardíaca Idioma: En Ano de publicação: 2021 Tipo de documento: Article