Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network.

Liu, Ming; Zhao, Jing; Lu, XiaoZuo; Li, Gang; Wu, Taixia; Zhang, LiFu

Liu, Ming; Zhao, Jing; Lu, XiaoZuo; Li, Gang; Wu, Taixia; Zhang, LiFu.

Afiliação

Liu M; Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300192, China.
Zhao J; Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China. cetty3190@163.com.
Lu X; Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.
Li G; State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China.
Wu T; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China.
Zhang L; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China.

Biomed Eng Online ; 17(1): 60, 2018 May 10.

Article em En | MEDLINE | ID: mdl-29747693

Assuntos

Viscosidade Sanguínea; Redes Neurais de Computação; Análise de Componente Principal; Língua/irrigação sanguínea; Adulto; Idoso; Humanos; Masculino; Pessoa de Meia-Idade; Análise Espectral

Palavras-chave

Artificial neural network; Blood hyperviscosity diagnosis; Noninvasive; Principal component analysis; Reflective spectroscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Língua / Viscosidade Sanguínea / Redes Neurais de Computação / Análise de Componente Principal Tipo de estudo: Diagnostic_studies Limite: Adult / Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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