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

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

Abstract Background With spectral methods, noninvasive determination of blood hyperviscosity in vivo is very potential and meaningful in clinical diagnosis. In this study, 67 male subjects (41 health, and 26 hyperviscosity according to blood sample analysis results) participate. Methods Reflectance...

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Bibliographic Details
Main Authors: Ming Liu, Jing Zhao, XiaoZuo Lu, Gang Li, Taixia Wu, LiFu Zhang
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BioMedical Engineering OnLine
Subjects:
Reflective spectroscopy
Noninvasive
Blood hyperviscosity diagnosis
Principal component analysis
Artificial neural network
Online Access:http://link.springer.com/article/10.1186/s12938-018-0495-3

Internet

http://link.springer.com/article/10.1186/s12938-018-0495-3

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