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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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Correspondence to Arkadiusz Kubacki .

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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

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  • Online ISBN: 978-3-319-29357-8

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