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Authors: Bartosz Binias and Michal Niezabitowski

Affiliation: Silesian University of Technology, Poland

ISBN: 978-989-758-263-9

Keyword(s): EEG, Electroencephalography, Adaptive Filtering, Artifact Filtering, Artifact Correction, Signal Reconstruction, Nonlinear Projective Filtering, Nonlinear State Space Projection, Biomedical Signals.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Nonlinear Signals and Systems ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Signal Reconstruction

Abstract: In this work a novel approach to filtering of eyeblink related artifacts from EEG signals is presented. Proposed solution, the Adaptive Nonlinear Projective Filtering (ANPF) algorithm, combines the classic approach to adaptive filtering with algorithms from nonlinear state space projection family. Performance of described method is compared with adaptive filter based on Normalized Least Mean Squares algorithm in terms of median Normalized Mean Squared Error. Data used in conducted research was simulated according to described procedure. Such approach allowed for a reliable comparison and evaluation of algorithm’s signal correction properties. Additionally, a real time modification of ANPF algorithm is proposed and tested. The analysis of sensitivity to changes of parameter values was also performed. Achieved results were tested for statistical significance. According to obtained scores ANPF significantly outperforms referential method during offline processing.

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Paper citation in several formats:
Binias, B. and Niezabitowski, M. (2017). Adaptive Nonlinear Projective Filtering - Application to Filtering of Artifacts in EEG Signals.In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-263-9, pages 440-448. DOI: 10.5220/0006414604400448

@conference{icinco17,
author={Bartosz Binias. and Michal Niezabitowski.},
title={Adaptive Nonlinear Projective Filtering - Application to Filtering of Artifacts in EEG Signals},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2017},
pages={440-448},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006414604400448},
isbn={978-989-758-263-9},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Adaptive Nonlinear Projective Filtering - Application to Filtering of Artifacts in EEG Signals
SN - 978-989-758-263-9
AU - Binias, B.
AU - Niezabitowski, M.
PY - 2017
SP - 440
EP - 448
DO - 10.5220/0006414604400448

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