Zobrazeno 1 - 5
of 5
pro vyhledávání: '"G. V. Savostina"'
Publikováno v:
Pattern Recognition and Image Analysis. 29:730-737
This article presents a new approach to solving the problem of automated detection of myocardial infarction of various localization by electrocardiogram data entries. Only the second standard lead is used in the analysis. The signal in this lead unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab90d829c47113abcf0285d1729a0fc8
https://doi.org/10.1134/s1054661819040151
https://doi.org/10.1134/s1054661819040151
Publikováno v:
Measurement Techniques. 61:738-743
The problem of suppressing the low-frequency component of the electrocardiogram signal during computerized electrocardiographic measurements is examined. The efficiency and possible realization of the main methods for eliminating low-frequency noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b25db5933a9618a255063698200d0f97
https://doi.org/10.1007/s11018-018-1494-2
https://doi.org/10.1007/s11018-018-1494-2
Autor:
G. V. Savostina, N. N. Sof’ina, K. T. Koshekov, Sergey Latypov, A. K. Koshekov, A. A. Kashevkin, Yu. N. Klikushin
Publikováno v:
Russian Journal of Nondestructive Testing. 54:249-259
An intelligent system for the diagnostics and monitoring of oil and gas equipment with a computerized device for identification measurements of vibration signals is described. The system operates based on the expert knowledgebases of the FRASH- and S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320dd0009a27b36ed7b96f939c800509
https://doi.org/10.1134/s1061830918040071
https://doi.org/10.1134/s1061830918040071
Publikováno v:
Izmeritel`naya Tekhnika. :66-70
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e247177501b6aa201254c8fbcce08ff
https://doi.org/10.32446/0368-1025it.2018-7-66-70
https://doi.org/10.32446/0368-1025it.2018-7-66-70
Autor:
A. A. Kashevkin, G. V. Savostina, Yu. N. Klikushin, N. V. Astapenko, Bibigul Koshekova, A. K. Koshekov
Publikováno v:
2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI).
The possibility of a theory tools application of signals identification measurements for the preliminary diagnosis of a human's large-focal myocardial infarction is described. The analysis of the electrocardiological signals is used for this purpose.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee4560485669dd3f35eab6dfcee01e3f
https://doi.org/10.1109/icpcsi.2017.8391880
https://doi.org/10.1109/icpcsi.2017.8391880