Systems and Means of Informatics
2015, Volume 25, Issue 4, pp 91-100
SIGNAL MYOGRAM FEATURES RESEARCH
- T. V. Zakharova
- V. Yu. Korolev
- A. A. Schemirova
Abstract
The paper investigates behavior of myograms, signals of muscle activity of a person. The paper proposes new ways of processing these signals to determine the reference points. The reference points are associated with the actual moment of the beginning of movement in the experiments. Further localized reference points are used to construct the associative filter processing ultraweak nonstationary signals of magnetoencephalogram. New methods retain high accuracy of previously used methods, but they are faster in several times.
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[+] About this article
Title
SIGNAL MYOGRAM FEATURES RESEARCH
Journal
Systems and Means of Informatics
Volume 25, Issue 4, pp 91-100
Cover Date
2015-09-30
DOI
10.14357/08696527150407
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
method of caused potentials; window sample variance; myogram; magnetoencephalogram; hypothesis testing
Authors
T. V. Zakharova , ,
V. Yu. Korolev , ,
and A. A. Schemirova
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" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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