Time series classification using recurrence charts

Authors

  • Lyudmila Kirichenko
  • Evgeniya Stepanenko
  • Dmitry Yandukov

DOI:

https://doi.org/10.34185/1562-9945-5-136-2021-08

Keywords:

класифікація, часовий ряд, рекурентна діаграма, згорткова нейронна мережа

Abstract

The article describes a new approach to the classification of time series based on their recurrence plots. A convolutional neural network is used as an image classifier. The data for classification are the realizations of electrocardiograms. Research results indicate good classification accuracy compared to other methods and the potential of this approach.

 

References

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Published

2021-08-08