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Body surface potential mapping time series recognition using convolutional and recurrent neural networks

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, , Citation T Rymarczyk et al 2022 J. Phys.: Conf. Ser. 2408 012001 DOI 10.1088/1742-6596/2408/1/012001

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dariusz.wojcik@netrix.com.pl

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1 Netrix S. A., Research and Development Center, Netrix S.A., Lublin, Poland

2 University of Economics and Innovation in Lublin, Poland

3 Faculty of Technology Fundamentals Lublin University of Technology, Lublin, Poland

4 Laboratory of Virology, Epidemiological Research Department, Provincial sanitary and epidemiological station in Lublin, Chair and Department of Medical Microbiology, Medical University of Lublin, Lublin, Poland

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1742-6596/2408/1/012001

Abstract

This article shows recognition of biomedical time series from Body Surface Potential Mapping by means of different convolutional and recurrent neural networks models. The various kinds of neural networks models were examined and compared: model with 1D convolutional layer, model with Long - Short Term Memory layer and model with Gated Recurrent Unit layer.

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10.1088/1742-6596/2408/1/012001