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Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors:  Dong X.;  Chen C.;  Geng Q.;  Zhang W.;  Zhang X.D.
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Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment Journal article
International Journal of Biological Sciences, 2019,Volume: 15,Issue: 11,Page: 2373-2380
Authors:  Chen X.;  Wang D.;  Lin J.;  Zhang T.;  Deng S.;  Huang L.;  Jin Y.;  Chen C.;  Zhang Z.;  Zheng J.;  Sun B.;  Bogdan P.;  Zhang X.D.
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Complexity Analysis  Continuous Glucose Monitoring  Fractal Analysis  Multiscale Sample Entropy  Type 2 Diabetes With Pregnancy  
An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals Journal article
Entropy, 2019,Volume: 21,Issue: 3
Authors:  Dong X.;  Chen C.;  Geng Q.;  Cao Z.;  Chen X.;  Lin J.;  Jin Y.;  Zhang Z.;  Shi Y.;  Zhang X.D.
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Complexity  Medical Information  Missing Values  Physiological Data  Sample Entropy  
A comprehensive comparison and overview of R packages for calculating sample entropy Journal article
Biology Methods and Protocols, 2019,Volume: 4,Issue: 1
Authors:  Chen C.;  Sun S.;  Cao Z.;  Shi Y.;  Sun B.;  Zhang X.D.
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Comparison  Nonlinear Dynamics  r Package  Sample Entropy  Time Series  
Ultrabright Polymer-Dot Transducer Enabled Wireless Glucose Monitoring via a Smartphone Journal article
ACS NANO, 2018,Volume: 12,Issue: 6,Page: 5176-5184
Authors:  Sun, Kai;  Yang, Yingkun;  Zhou, Hua;  Yin, Shengyan;  Qin, Weiping;  Yu, Jiangbo;  Chiu, Daniel T.;  Yuan, Zhen;  Zhang, Xuanjun;  Wu, Changfeng
Favorite |  | TC[WOS]:53 TC[Scopus]:57 | Submit date:2018/10/30
Diabetes  Continuous Glucose Monitoring  Semiconducting Polymer Dots  Fluorescence Imaging  Smartphone  
CGManalyzer: An R package for analyzing continuous glucose monitoring studies Journal article
Bioinformatics, 2018,Volume: 34,Issue: 9,Page: 1609-1611
Authors:  Zhang X.D.;  Zhang Z.;  Wang D.
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CGManalyzer: an R package for analyzing continuous glucose monitoring studies Journal article
BIOINFORMATICS, 2018,Volume: 34,Issue: 9,Page: 1609-1611
Authors:  Zhang, Xiaohua Douglas;  Zhang, Zhaozhi;  Wang, Dandan
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Decreased complexity of glucose dynamics preceding the onset of diabetes in mice and rats Journal article
PLOS ONE, 2017,Volume: 12,Issue: 9
Authors:  Zhang, Xiaohua Douglas;  Pechter, David;  Yang, Liming;  Ping, Xiaoli;  Yao, Zuliang;  Zhang, Rumin;  Shen, Xiaolan;  Li, Nina Xiaoyan;  Connick, Jonathan;  Nawrocki, Andrea R.;  Chakravarthy, Manu;  Li, Cai
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Entropy for the complexity of physiological signal dynamics Book chapter
出自: Advances in Experimental Medicine and Biology:Springer New York LLC, 2017, 页码: 39-53
Authors:  Zhang X.D.
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Complexity  Continuous Monitoring  Entropy  High-throughput Phenotyping  Wearable Medical Device  
Markers of glycemic control in the mouse: Comparisons of 6-h-and overnight-fasted blood glucoses to Hb A1c Journal article
American Journal of Physiology - Endocrinology and Metabolism, 2008,Volume: 295,Issue: 4
Authors:  Han B.G.;  Hao C.-M.;  Tchekneva E.E.;  Wang Y.-Y.;  Chieh A.L.;  Ebrahim B.;  Harris R.C.;  Kern T.S.;  Wasserman D.H.;  Breyer M.D.;  Qi Z.
Favorite |  | TC[WOS]:41 TC[Scopus]:46 | Submit date:2019/01/16
Glycosylated hemoglobin  Methodology  Mice