Email this article Testing of a Short-Term Blood Glucose Prediction Algorithm Using the DirecNet Database
- Authors: Bazaev N.A.1,2, Rudenko P.A.1, Grinval’d V.M.1,2, Pozhar K.V.1,2, Litinskaia E.L.1
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Affiliations:
- 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
- Issue: Vol 52, No 6 (2019)
- Pages: 419-422
- Section: 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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Abstract
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.
About the authors
N. A. 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
Russian Federation, Zelenograd, Moscow; Moscow
P. A. Rudenko
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET)
Author for correspondence.
Email: rudenko.pavel.a@gmail.com
Russian Federation, Zelenograd, Moscow
V. M. 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
Russian Federation, Zelenograd, Moscow; Moscow
K. V. 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
Russian Federation, Zelenograd, Moscow; Moscow
E. L. Litinskaia
Institute of Biomedical Systems, National Research University of Electronic Technology (MIET)
Email: rudenko.pavel.a@gmail.com
Russian Federation, Zelenograd, Moscow
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