Analysis of Results of Digital Electroencephalography and Digital Vectors of Coronavirus Images upon Applying the Theory of Covariance Functions

• Published in: Symmetry (Basel) Vol. 15; no. 7; p. 1330
• Main Authors: Skeivalas, Jonas, Paršeliūnas, Eimuntas, Paršeliūnas, Audrius, Šlikas, Dominykas
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2023
• Subjects: Analysis; Coronaviruses; Correlation coefficients; Covariance; covariance function; COVID-19; Digital imaging; Electrodes; Electroencephalography; Estimators; Health aspects; Mathematical analysis; Matrices (mathematics); Parameters; Pixels; quantised interval; SARS-CoV-2; Standard deviation

This paper analyses the structures of covariance functions of digital electroencephalography measurement vectors and digital vectors of two coronavirus images. For this research, we used the measurement results of 30-channel electroencephalography (E1–E30) and digital vectors of images of two SARS-C...