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Functional Tomography of Complex Systems Using Spectral Analysis of Multichannel Measurement Dataстатья Исследовательская статья
Статья опубликована в журнале из списка RSCI Web of Science
Статья опубликована в журнале из перечня ВАКСтатья опубликована в журнале из списка Web of Science и/или Scopus
- Авторы: Ustinin M.N., Boyko A.I., Rykunov S.D.
- Журнал: Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications
- Том: 33
- Номер: 4
- Год издания: 2023
- Издательство: Pleiades Publishing, Ltd
- Местоположение издательства: Road Town, United Kingdom
- Первая страница: 1344
- Последняя страница: 1374
- DOI: 10.1134/s1054661823040491
- Аннотация: A new method has been proposed for determining the structure of complex biological and physical systems from their electromagnetic fields. The method is based on spectral analysis of multichannel time series. Optimization of the Fourier transform is achieved by integrating long-term time series. Fine tuning to a given frequency is also possible to increase the signal-to-noise ratio. When analyzing a detailed multichannel spectrum, the signal is reconstructed at each frequency and the inverse problem is solved for the resulting field map. Using the model of one elementary source allows one to correctly solve the inverse problem by exhaustive search. The set of found elementary sources for all frequencies represents the functional structure of the complex system being studied. The method was verified on computer and physical models, after which it was successfully applied in various biological problems. The separation of the encephalogram into a signal from the brain and physiological noise was obtained.
- Добавил в систему: Устинин Михаил Николаевич