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This article is cited in 1 scientific paper (total in 1 paper)
Method of synchronization of magnetoencephalograms and myograms signals
E. V. Chshenyavskayaa, T. V. Zakharovaab a 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
b 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
Abstract:
The paper examines the problem of the primary motor cortex (or M1) determination, which is one of the principal brain areas involved in the motor function. The experiment, based on the method of caused potentials, was conducted to locate M1 area: caused potentials were obtained from the nervous system in response to tactile stimulation of a forefinger. During the experiment, both myogram and magnetoencephalogram (MEG) signals were recorded simultaneously. The associative filter, utilizing moments of the begining of the movement (reference points) of the myogram signal, was applied for processing the MEG signal. This article introduces a new high-precision method for reference points detection.
Keywords:
magnetoencephalogram; myogram; method of caused potentials; reference points.
Received: 03.10.2015
Citation:
E. V. Chshenyavskaya, T. V. Zakharova, “Method of synchronization of magnetoencephalograms and myograms signals”, Sistemy i Sredstva Inform., 25:4 (2015), 101–113
Linking options:
https://www.mathnet.ru/eng/ssi437 https://www.mathnet.ru/eng/ssi/v25/i4/p101
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