Three-step one-way model in terahertz biomedical detection
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43074_2021_Article_34.pdf
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Author(s)
Peng, Yan
Huang, Jieli
Luo, Jie
Yang, Zhangfan
Wang, Liping
Wu, Xu
Zang, Xiaofei
Yu, Chen
Gu, Min
Hu, Qing
Date Issued
July 23, 2021
Publisher
Springer Singapore
Citation
PhotoniX. 2021 Jul 23;2(1):12
Version
Final published version
Abstract
Abstract
Terahertz technology has broad application prospects in biomedical detection. However, the mixed characteristics of actual samples make the terahertz spectrum complex and difficult to distinguish, and there is no practical terahertz detection method for clinical medicine. Here, we propose a three-step one-way terahertz model, presenting a detailed flow analysis of terahertz technology in the biomedical detection of renal fibrosis as an example: 1) biomarker determination: screening disease biomarkers and establishing the terahertz spectrum and concentration gradient; 2) mixture interference removal: clearing the interfering signals in the mixture for the biomarker in the animal model and evaluating and retaining the effective characteristic peaks; and 3) individual difference removal: excluding individual interference differences and confirming the final effective terahertz parameters in the human sample. The root mean square error of our model is three orders of magnitude lower than that of the gold standard, with profound implications for the rapid, accurate and early detection of diseases.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1186/s43074-021-00034-0
