Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning.

Pan, Qing; Jia, Mengzhe; Liu, Qijie; Zhang, Lingwei; Pan, Jie; Lu, Fei; Zhang, Zhongheng; Fang, Luping; Ge, Huiqing

Pan, Qing; Jia, Mengzhe; Liu, Qijie; Zhang, Lingwei; Pan, Jie; Lu, Fei; Zhang, Zhongheng; Fang, Luping; Ge, Huiqing.

Afiliación

Pan Q; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Jia M; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Liu Q; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Zhang L; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Pan J; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Lu F; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Zhang Z; Department of Emergency Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou 310016, China.
Fang L; College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou 310023, China.
Ge H; Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou 310016, China.

Sensors (Basel) ; 21(12)2021 Jun 17.

Article en En | MEDLINE | ID: mdl-34204238

Asunto(s)

Servicios de Atención de Salud a Domicilio; Redes Neurales de la Computación; Humanos; Aprendizaje Automático; Respiración Artificial; Ventiladores Mecánicos

Palabras clave

convolutional neural network; deep learning; mechanical ventilation; patientventilator asynchrony; transfer learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Servicios de Atención de Salud a Domicilio Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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