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Detection of Artefacts from the Motion of the Eyelids Created During EEG Research Using Artificial Neural Network

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Challenges in Automation, Robotics and Measurement Techniques (ICA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 440))

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Abstract

This article shows the results of the work on the system to recognize artefacts during the EEG research. The focus is on recognizing only one but the most common artefact which is eyes blinking. Recognition was used six artificial neural networks with 1, 2, 5, 10, 100 and 1000 hidden layers. For its learn were used 16765 samples. This article is based on of Emotiv EPOC+™ system and the MATLAB environment.

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Authors and Affiliations

  1. Institute of Mechanical Technology, Poznan University of Technology, Ul. Piotrowo 3, 60-965, Poznań, Poland

    Arkadiusz Kubacki, Arkadiusz Jakubowski & Łukasz Sawicki

Authors
  1. Arkadiusz Kubacki
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  2. Arkadiusz Jakubowski
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  3. Łukasz Sawicki
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Corresponding author

Correspondence to Arkadiusz Kubacki .

Editor information

Editors and Affiliations

  1. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Roman Szewczyk

  2. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Cezary Zieliński

  3. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Małgorzata Kaliczyńska

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Kubacki, A., Jakubowski, A., Sawicki, Ł. (2016). Detection of Artefacts from the Motion of the Eyelids Created During EEG Research Using Artificial Neural Network. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Challenges in Automation, Robotics and Measurement Techniques. ICA 2016. Advances in Intelligent Systems and Computing, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-29357-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-29357-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29356-1

  • Online ISBN: 978-3-319-29357-8

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