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Use of Neural Networks for Recognition of Pathological Changes in Stimulative Electromyograms

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Biomedical Engineering Aims and scope

A Correction to this article was published on 09 April 2024

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The application of neural networks for detection of electrostimulative electromyograms of patients with normal state of the neuromuscular system and for muscular syndromes such as carpal tunnel syndrome, cubital tunnel syndrome, and demyelinating polyneuropathy is discussed. The input parameters for the network emulator NeuroPro and a three-layer perceptron network with direct communications are defined. The possibility of diagnostic analysis of EMG signals is estimated.

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Authors and Affiliations

  1. Azerbaijan State Academy, Baku, Azerbaijan

    N. T. Abdullayev & K. Oghuz

Authors
  1. N. T. Abdullayev
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  2. K. Oghuz
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Correspondence to N. T. Abdullayev.

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Translated from Meditsinskaya Tekhnika, Vol. 45, No. 6, Nov.–Dec., 2011, pp. 1–7.

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Abdullayev, N.T., Oghuz, K. Use of Neural Networks for Recognition of Pathological Changes in Stimulative Electromyograms. Biomed Eng 45, 201–206 (2012). https://doi.org/10.1007/s10527-012-9242-4

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  • DOI: https://doi.org/10.1007/s10527-012-9242-4

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