Systems and Means of Informatics
2016, Volume 26, Issue 3, pp 106-121
MIXTURES OF NORMAL DISTRIBUTIONS IN THE PROBLEM OF REFERENCE POINTS SEARCH USING MYOGRAMS
- T. V. Zakharova
- M. M. Podlesnyy
Abstract
The paper is devoted to investigation of myogram probability characteristics. This signal represents a record of electrical activity produced by skeletal muscles. It is widely used in medical research, including the determination of reference points in the problem of localization of functional brain areas. The authors propose to take finite scale-location mixtures of normal distributions as a mathematical model of myogram noise. Separation of mixtures is solved by the stochastic EM (expectation-maximization) algorithm and obtained data are used to reveal start points for movements using CUSUM statistics. Finally, the authors compare the new algorithm with the method based on window variance thresholding, which is already used in the MEG center.
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[+] About this article
Title
MIXTURES OF NORMAL DISTRIBUTIONS IN THE PROBLEM OF REFERENCE POINTS SEARCH USING MYOGRAMS
Journal
Systems and Means of Informatics
Volume 26, Issue 3, pp 106-121
Cover Date
2016-08-30
DOI
10.14357/08696527160308
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
myogram; mixtures of probability distributions; stochastic EM algorithm; CUSUM statistics
Authors
T. V. Zakharova  ,  and M. M. Podlesnyy
Author Affiliations
Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, 1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
Institute of Informatics Problems, Federal Research Center "Computer Science
and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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