Prediction for blood lactate during exercise using an artificial intelligence-Enabled electrocardiogram: a feasibility study.

Huang, Shu-Chun; Lee, Chen-Hung; Hsu, Chih-Chin; Chang, Sing-Ya; Chen, Yu-An; Chiu, Chien-Hung; Hsiao, Ching-Chung; Su, Hong-Ren

Huang, Shu-Chun; Lee, Chen-Hung; Hsu, Chih-Chin; Chang, Sing-Ya; Chen, Yu-An; Chiu, Chien-Hung; Hsiao, Ching-Chung; Su, Hong-Ren.

Afiliação

Huang SC; Department of Physical Medicine and Rehabilitation, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, Taipei, Taiwan.
Lee CH; Department of Physical Medicine & Rehabilitation, Chang Gung Memorial Hospital, Linkou, Taiwan.
Hsu CC; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chang SY; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chen YA; Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
Chiu CH; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Hsiao CC; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Keelung, Taiwan.
Su HR; School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Front Physiol ; 14: 1253598, 2023.

Article em En | MEDLINE | ID: mdl-37954448

Palavras-chave

convolutional neural network; exercise; long short-term memory; recurrent neural network; residual network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Physiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

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