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JOURNALS // Vestnik TVGU. Seriya: Prikladnaya Matematika [Herald of Tver State University. Series: Applied Mathematics] // Archive

Vestnik TVGU. Ser. Prikl. Matem. [Herald of Tver State University. Ser. Appl. Math.], 2016 Issue 3, Pages 47–58 (Mi vtpmk20)

Theory of Probability and Mathematical Statistics

Methods for searching reference points of cyclic and non-stationary signals

T. V. Zakharovaab, A. A. Schemirovaa

a Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
b Institute of Informatics Problems of the Russian Academy of Sciences

Abstract: The article is devoted to the problem of locating the motor areas of the cerebral cortex of human non-invasive methods. Magnetoencephalography is one of such methods. Associative processing method is used to determine the boundaries of functional areas of the brain where magnitoentsefalogrammy (MEG signals) are considered in conjunction with other signals. In particular, myogram - human muscular activity signals, used for locating the site of the brain responsible for movement. The definition of reference points is the highest difficulty, on those points are averaged MEG-signal values. Material, represented in this article, describes a searching method of superweak and non-stationary signals of reference point. Search method based on idea of signal observing with two separated but adjacent windows called. Reference point, located on the edge of rest and motion segments, is determined by difference in signal conducting in adjacent windows.

Keywords: hypothesis testing, sampling variance window, sample quantile, myogram.

UDC: 519.22

Received: 21.06.2016
Revised: 20.07.2016

DOI: 10.26456/vtpmk20



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