Testing of a Short-Term Blood Glucose Prediction Algorithm Using the DirecNet Database
- 作者: Bazaev N.1,2, Rudenko P.1, Grinval’d V.1,2, Pozhar K.1,2, Litinskaia E.1
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隶属关系:
- Institute of Biomedical Systems, National Research University of Electronic Technology (MIET)
- Institute for Bionic Technologies and Engineering, I. M. Sechenov First Moscow State Medical University
- 期: 卷 52, 编号 6 (2019)
- 页面: 419-422
- 栏目: Article
- URL: https://journals.rcsi.science/0006-3398/article/view/235915
- DOI: https://doi.org/10.1007/s10527-019-09860-w
- ID: 235915
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详细
A short-term blood glucose prediction algorithm was validated using the DirecNet clinical database. Noise at 0, 10, 15, 20, and 25% levels was added to blood glucose tracks to assess the stability of the algorithm. Computer modeling showed that the average prediction error was 2.0, 3.0, 6.6, 7.4, and 13.7%, respectively.
作者简介
N. Bazaev
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET); Institute for Bionic Technologies and Engineering, I. M. Sechenov First Moscow State Medical University
Email: rudenko.pavel.a@gmail.com
俄罗斯联邦, Zelenograd, Moscow; Moscow
P. Rudenko
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET)
编辑信件的主要联系方式.
Email: rudenko.pavel.a@gmail.com
俄罗斯联邦, Zelenograd, Moscow
V. Grinval’d
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET); Institute for Bionic Technologies and Engineering, I. M. Sechenov First Moscow State Medical University
Email: rudenko.pavel.a@gmail.com
俄罗斯联邦, Zelenograd, Moscow; Moscow
K. Pozhar
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET); Institute for Bionic Technologies and Engineering, I. M. Sechenov First Moscow State Medical University
Email: rudenko.pavel.a@gmail.com
俄罗斯联邦, Zelenograd, Moscow; Moscow
E. Litinskaia
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET)
Email: rudenko.pavel.a@gmail.com
俄罗斯联邦, Zelenograd, Moscow