Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Maria M. Tsirkova"'
Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram
Autor:
Sergey V. Stasenko, Andrey V. Kovalchuk, Evgeny V. Eremin, Olga V. Drugova, Natalya V. Zarechnova, Maria M. Tsirkova, Sergey A. Permyakov, Sergey B. Parin, Sofia A. Polevaya
Publikováno v:
Sensors, Vol 23, Iss 11, p 5272 (2023)
This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify “cardiospikes” present in the ECG data of individuals who have experienced a COVID-19 infection. Wit
Externí odkaz:
https://doaj.org/article/f523ff16d53d4e1581eaba6f6ff6ecfd
Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram
Autor:
Polevaya, Sergey V. Stasenko, Andrey V. Kovalchuk, Evgeny V. Eremin, Olga V. Drugova, Natalya V. Zarechnova, Maria M. Tsirkova, Sergey A. Permyakov, Sergey B. Parin, Sofia A.
Publikováno v:
Sensors; Volume 23; Issue 11; Pages: 5272
This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify “cardiospikes” present in the ECG data of individuals who have experienced a COVID-19 infection. Wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e497caced6b01bf0fbee5c9902c0cf1f