Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Liudmila A. Manilo"'
Autor:
Liudmila A. Manilo, Anatoly P. Nemirko, Ekaterina G. Evdakova, Anna A. Tatarinova, Boris E. Alekseev
Publikováno v:
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14dd98f7d097b30affb779b960306606
https://doi.org/10.1109/sibircon56155.2022.10017055
https://doi.org/10.1109/sibircon56155.2022.10017055
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcb0e371489e2429daf3c9a695f2a51a
https://doi.org/10.1109/elconrus54750.2022.9755737
https://doi.org/10.1109/elconrus54750.2022.9755737
Publikováno v:
2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB).
One of the difficult tasks of practical medicine is to identify rhythm disturbances in the work of the cardiovascular system in patients under supervision. Early detection of a dangerous violation could save the patient’s life due to the use of res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcf7d3b0993ac0e517f2d234e2721704
https://doi.org/10.1109/csgb53040.2021.9496029
https://doi.org/10.1109/csgb53040.2021.9496029
Publikováno v:
2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).
Recognition methods of dangerous rhythm disturbances using the spectral description of short electrocardiosignals are the subject of this paper. Each object is described by 15 spectral features in the range from 0 to 15 Hz, all data are normalized to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff0fd8222deede9a7539945b5b2221b
https://doi.org/10.1109/usbereit51232.2021.9455071
https://doi.org/10.1109/usbereit51232.2021.9455071
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
In clinical practice, 24-hour monitoring of ECG records is often used to study heart rhythm. One of the methods for analyzing long-term ECG signal recordings is to present the signal in the form of a correlation rhythmogram. Using the analysis of sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c778c01afa6780bd602276e7eaca34d
https://doi.org/10.1109/eiconrus49466.2020.9039513
https://doi.org/10.1109/eiconrus49466.2020.9039513
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
During the clinical monitoring of the human heart activity the main goal is to detect heart arrhythmias and capture their precursors as early as possible. We decided to divide ECG fragments into six classes depending on their danger to the human life
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc60045048083f11434f33c313661f4e
https://doi.org/10.1109/eiconrus49466.2020.9039134
https://doi.org/10.1109/eiconrus49466.2020.9039134
Autor:
Manilo, L. A., Kholmatov, D. U.
Publikováno v:
Pattern Recognition & Image Analysis; Sep2022, Vol. 32 Issue 3, p586-590, 5p