Geodesic
Methods for searching reference points of cyclic and non-stationary signals
Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 3 (2016), pp. 47-58
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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, myogram.
Mots-clés : sample quantile 
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T. V. Zakharova; A. A. Schemirova. Methods for searching reference points of cyclic and non-stationary signals. Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 3 (2016), pp. 47-58. http://geodesic.mathdoc.fr/item/VTPMK_2016_3_a3/

[1] Hamalainen M., Hari R., Ilmoniemi R. J., Knuutila J., Lounasmaa O. V., “Magnetoencephalography – theory, instrumentation, and applications to noninvasive studies of the working human brain”, Reviews of Modern Physics, 65 (1993), 413–497 | DOI

[2] Bening V. E., Dranitsyna M. A., Zakharova T. V., Karpov P. I., “Reshenie obratnoi zadachi v mnogodipol'noi modeli istochnikov magnitoentsefalogramm metodom nezavisimykh komponent”, Computer Science and its Applications, 8:2 (2014), 79–87 (in Russian) | MR

[3] Zakharova T. V., Nikiforov S. Yu., Goncharenko M. B., Dranitsyna M. A., Klimov G. A., Khaziakhmetov M. S., Chayanov N. V., “Metody obrabotki signalov dlya lokalizatsii nevospolnimykh oblastei golovnogo mozga”, Systems and Means of Computer Science, 22:2 (2012), 157–176 (in Russian) | MR

[4] Shchenyavskaya E. V., Allakhverdieva V. M., “Modifikatsiya metoda nakhozhdeniya opornykh tochek i ego primenenie dlya izucheniya svoistv signalov miogrammy”, Proceedings of the First Scientific-Practical Conference for Young Scientists “Problems of Modern Computer Science”, 2014, 21–25 (in Russian)

[5] Zakharova T. V., Korolev V. Yu., Shchemirova A. A., “Issledovaniya osobennostei signalov miogrammy”, Systems and Means of Computer Science, 25:4 (2015), 91–101 (in Russian) | MR