Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram

Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram

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. With a test sample, we achieve an 87 percent accuracy in...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
machine learning algorithms
electrocardiogram
post-COVID state
COVID-19
data analysis
Online Access:https://www.mdpi.com/1424-8220/23/11/5272

Internet

https://www.mdpi.com/1424-8220/23/11/5272

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