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Multiple Inter-Channel EEG Relationships and Their Application

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Biomedical Engineering Aims and scope

In this article we propose an algorithm for the analysis of multiple relationships between electroencephalogram (EEG) channels. This algorithm identifies groups of linked channels and estimates the strength of relationships within these groups. This is a novel approach that can detect informative cortical zones for particular psychoneurological diseases. It can also be used to create new systems for processing EEG data and diagnose diseases.

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Authors and Affiliations

  1. Institute of Computer Science and Technology, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    R. I. Ivanovsky & M. A. Novozhilov

Authors
  1. R. I. Ivanovsky
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  2. M. A. Novozhilov
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Correspondence to M. A. Novozhilov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 52, No. 2, Mar.-Apr., 2018, pp. 52-55.

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Ivanovsky, R.I., Novozhilov, M.A. Multiple Inter-Channel EEG Relationships and Their Application. Biomed Eng 52, 142–146 (2018). https://doi.org/10.1007/s10527-018-9800-5

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  • DOI: https://doi.org/10.1007/s10527-018-9800-5

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