Automatic classification of patient groups using magnetocardiography in the diagnosis of the atria lesions in patients with chronic obstructive pulmonary disease and coronary heart disease

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  • Authors: Ivanov G.G., Bulanova N.A., Vostrikov V.A., Dvornikov V.E., Chuiko N.A., Halabi G., Maslennikov Y.V., Prinin M.A., Nedaivoda I.V., Kuznetsova S.Y., Gunaeva V.N.
  • Issue: No 2 (2015)
  • Pages: 62-72
  • Section: Articles
  • URL: http://journals.rudn.ru/medicine/article/view/2661

Abstract


The work is devoted to study the possibilities of automatic classification of patient groups using magnetocardiography (MCG) in the diagnosis of lesions of the atria. Analyzed magnetocardiographic data for the three groups of patients. The first group included 31 ΜCG record healthy volunteers. The second group - 45 MCG records of patients with chronic obstructive pulmonary disease (COPD). The third group - 58 ΜG records of patients with coronary heart disease (CHD). Statistical analysis showed that the decision rule for classification of patients with COPD and IHD can have four information parameter: 1 - the rate of variation of the magnetic field (RVMF), which characterizes the percentage of exceeding a given level of magnetic field in the whole time interval (104 msec), points on the plane dimensions of each magnetic card. 2 - parameter inversion (PI), which is defined on the interval 2-40 msec. 3 - parameter changes integrated map currents (ICT) characterizing changes in the structure (the values of vectors; directions of vectors; spatial distribution within the boundaries of the field measurements) distribution maps of vector current density during msec (on P wave in this case). 4 - parameter integral of the minimum magnetic field (PIMF).

G G Ivanov

The first Moscow medical University n.a. I.M. Sechenov

Email: ivgen2004@mail.ru
Department of cardiology SIC; Department of hospital therapy Peoples’ Friendship University of Russia Miklukho-Maklaya str., 8, Moscow, Russia, 117198

N A Bulanova

The first Moscow medical University n.a. I.M. Sechenov

Email: bulanovanatalia@mtu-net.ru
Department of cardiology SIC; Department of hospital therapy Peoples’ Friendship University of Russia Miklukho-Maklaya str., 8, Moscow, Russia, 117198

V A Vostrikov

The first Moscow medical University n.a. I.M. Sechenov

Email: vostricov.v@mtu-net.ru
Department of cardiology SIC; Department of hospital therapy Peoples’ Friendship University of Russia Miklukho-Maklaya str., 8, Moscow, Russia, 117198

V E Dvornikov

Peoples’ Friendship University of Russia

Email: dvornikovve@mail.ru
Department of hospital therapy

N A Chuiko

Peoples’ Friendship University of Russia

Email: ivgen2004@mail.ru
Department of hospital therapy

G Halabi

Peoples’ Friendship University of Russia

Email: ivgen2004@mail.ru
Department of hospital therapy

Yu V Maslennikov

CRYOTON Co. Ltd., Moscow

Email: Cryoton@inbox.ru

M A Prinin

The Glushkov’s Institute of Cybernetics of NAS

Email: Cryoton@inbox.ru

I V Nedaivoda

The Glushkov’s Institute of Cybernetics of NAS

Email: Cryoton@inbox.ru

S Yu Kuznetsova

Polyclinic № 3 of the Central clinical hospital of RAS

Email: Kuznetsovasu@mail.ru

V N Gunaeva

Polyclinic № 3 of the Central clinical hospital of RAS

Email: vgunaeva@gпmail.ru

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Copyright (c) 2015 Иванов Г.Г., Буланова Н.А., Востриков В.А., Дворников В.Е., Чуйко Н.А., Халаби Г., Масленников Ю.В., Примин М.А., Недайвода И.В., Кузнецова С.Ю., Гунаева В.Н.

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