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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
On The Statistical Methods To Locate The Areas Of A Human
Brain Activity By The MEG Signals And Myograms |
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Authors: |
Andrey Gorshenin,
Victor Korolev, Tatiana Zakharova,
Miroslav Goncharenko,
Semen Nikiforov, Maxim Khaziakhmetov,
Alexander Zeifman |
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Published in:
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(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
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Citation
format: |
Andrey Gorshenin,
Victor Korolev, Tatiana Zakharova,
Miroslav Goncharenko,
Semen Nikiforov, Maxim Khaziakhmetov,
Alexander Zeifman (2015). On The Statistical
Methods To Locate The Areas Of A Human Brain Activity By The MEG Signals And Myograms, ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European
Council for Modeling and Simulation. doi:10.7148/2015-0631 |
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DOI: |
http://dx.doi.org/10.7148/2015-0631 |
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Abstract: |
The investigation of brain activity is
one of the most important fields in modern medicine. One of most popular
experimental techniques is the so-called method of evoked potentials: the
subject repeatedly makes some movements whereas brain activity and some
auxiliary signals are recorded for further analysis. The key problem is the
determination of points in myogram which correspond to the beginning of the movements (we
deal with the movements of the subject’s finger). The precise detection of
the points promotes successful processing of the magnetoencephalogram
because it is a way to identify the sensors which
are closest to the activity areas. The paper proposes a statistical
approach based on a special modification of the method of moving separation
of mixtures of probability distributions (MSM method) to reveal start points
for the finger’s movements. We demonstrate the correctness of a new procedure
as compared with the method based on the notion of the myogram
window variance using the same experimental myogram. |
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