Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform.

Xiao, Hanguang; Song, Wangwang; Liu, Chang; Peng, Bo; Zhu, Mi; Jiang, Bin; Liu, Zhi

Xiao, Hanguang; Song, Wangwang; Liu, Chang; Peng, Bo; Zhu, Mi; Jiang, Bin; Liu, Zhi.

Afiliación

Xiao H; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China. Electronic address: simenxiao1211@163.com.
Song W; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China.
Liu C; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China.
Peng B; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China.
Zhu M; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China.
Jiang B; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China.
Liu Z; College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China. Electronic address: liuzhi@cqut.edu.cn.

Artif Intell Med ; 145: 102683, 2023 11.

Article en En | MEDLINE | ID: mdl-37925212

Asunto(s)

Presión Arterial; Arteria Radial; Humanos; Presión Arterial/fisiología; Presión Sanguínea/fisiología; Arteria Radial/fisiología; Redes Neurales de la Computación; Determinación de la Presión Sanguínea/métodos

Palabras clave

Bi-LSTM; Cardiovascular diseases; Central arterial pressure; Convolutional neural networks; Deep learning; Self-attention; Waveform reconstruction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arteria Radial / Presión Arterial Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos

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