|
Properties of window dispersion increments of a myogram as a stochastic process
M. Sh. Khaziakhmetova, T. V. Zakharovaa, O. V. Shestakovab a 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, Russian Academy of Sciences,
44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
One of the most rapidly progressing directions in the modern medicine is brain activity research. There is a set of techniques of carrying out experiments in this area. One of the approaches is the so-called method of caused potentials: a testee repeats some actions and his brain activity and some auxiliary signals are registered for further analysis. The authors of this paper and their colleagues published several papers about algorithms of reference points localization by a myogram (and some other signals) for the experiment with finger movements. Accuracy of detection of these points is critical for processing a magnetoencephalogram — signal average by multiple epochs centered by them is computed to find a sensor with the best response (it should be closer to the source of activity than other). In this paper, some theoretical aspects of these algorithms such as a myogram and increment of its window dispersion as random processes are discussed.
Keywords:
window dispersion; window dispersion increments; myogram; magnetoencephalogram.
Received: 01.10.2014
Citation:
M. Sh. Khaziakhmetov, T. V. Zakharova, O. V. Shestakov, “Properties of window dispersion increments of a myogram as a stochastic process”, Sistemy i Sredstva Inform., 24:4 (2014), 86–99
Linking options:
https://www.mathnet.ru/eng/ssi376 https://www.mathnet.ru/eng/ssi/v24/i4/p86
|
|