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Pattern Recognition and Image Analysis

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01.10.2020 | PATTERN RECOGNITION AND IMAGE ANALYSIS AUTOMATED SYSTEMS, HARDWARE AND SOFTWARE

FTViewer Application for Analysis and Visualization of Functional Tomograms of Complex Systems

verfasst von: S. D. Rykunov, E. S. Oplachko, M. N. Ustinin

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 4/2020

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Abstract

Software for studying the spatial structure of various complex systems based on the data of multichannel measurements is developed. Experimental space-time functions without information loss are converted into a functional tomogram: the set of independent oscillations. Each oscillation is generated by one dipole source and has a unique set of characteristics, including frequency, energy, and spatial parameters. It is also possible to select and represent spatial structures obtained by solving the inverse problem with the given accuracy. Using the data of magnetic encephalography (MEG) as an example, various options for filtering and displaying a functional tomogram of the human head are considered. The FTViewer application allows us to study in detail the work of the brain and the nature of noise signals.

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Titel: FTViewer Application for Analysis and Visualization of Functional Tomograms of Complex Systems
verfasst von: S. D. Rykunov
E. S. Oplachko
M. N. Ustinin
Publikationsdatum: 01.10.2020
Verlag: Pleiades Publishing
Erschienen in: Pattern Recognition and Image Analysis / Ausgabe 4/2020
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661820040227

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