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An Experimental Neural Network Cardiac Analyzer

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Biomedical Engineering Aims and scope

Automatic analysis of ECG provides prophylactic diagnosis of cardiovascular system diseases in patients with risk of cardiac system pathology. This diagnosis can be mediated by neural network methodology. The goal of this work was to develop an experimental neural network cardiac analyzer. This analyzer is based on modular structure. This system provides automatic diagnosis of ECG and cardiac rhythm.

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Authors and Affiliations

  1. Vladimir State University, Vladimir, Russia

    R. V. Isakov, M. A. Al Mabrouk & L. T. Sushkova

Authors
  1. R. V. Isakov
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  2. M. A. Al Mabrouk
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  3. L. T. Sushkova
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Correspondence to R. V. Isakov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 45, No. 3, May-Jun., 2011, pp. 18–26.

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Isakov, R.V., Al Mabrouk, M.A. & Sushkova, L.T. An Experimental Neural Network Cardiac Analyzer. Biomed Eng 45, 91–97 (2011). https://doi.org/10.1007/s10527-011-9218-9

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  • DOI: https://doi.org/10.1007/s10527-011-9218-9

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