An algebraic method for eye blink artifacts detection in single channel EEG recordings

Abstract

Event Abstract Back to Event An algebraic method for eye blink artifacts detection in single channel EEG recordings Zoran Tiganj1*, Mamadou Mboup2, Christophe Pouzat3 and Lotfi Belkoura4 1 Nord Europe, Projcet ALIEN, INRIA Lille , France 2 Université Paris Descartes, UFR Math-Info, France 3 Université Paris Descartes, Laboratoire de Physiologie Cérébral (CNRS UMR 8118), , France 4 Université des Sciences et Technologies de Lille, LAGIS (CNRS, UMR 8146) and Project Alien, INRIA Lille - Nord Europe, France Single-channel EEG systems are very useful in EEG based applications where real time processing, low computational complexity and low cumbersomeness are critical constrains. These include brain-computer-interface and biofeedback devices and also some clinical applications such as EEG recording on babies or Alzheimer's disease recognition. In this paper we address the problem of eye blink artifacts detection in such systems. We study an algebraic approach based on numerical differentiation, which is recently introduced from operational calculus. The occurrence of an artifact is modeled as an irregularity which appears explicitly in the time (generalized) derivative of the EEG signal as a delay. Manipulating such delay is easy with the operational calculus and it leads to a simple joint detection and localization algorithm. While the algorithm is devised based on continuous-time arguments, the final implementation step is fully realized in a discrete-time context, using very classical discrete-time FIR filters. The proposed approach is compared with three other approaches: (1) the very basic threshold approach, (2) the approach that combines the use of median filter, matched filter and nonlinear energy operator (NEO) and (3) the wavelet based approach. Comparison is done on: (a) the artificially created signal where the eye activity is synthesized from real EEG recordings and (b) the real single-channel EEG recordings from 32 different brain locations. Results are presented with Receiver Operating Characteristics curves. The results show that the proposed approach compares to the other approaches better or as good as, while having lower computational complexity with simple real time implementation. Comparison of the results on artificially created and real signal leads to conclusions that with detection techniques based on derivative estimation we are able to detect not only eye blink artifacts, but also any spike shaped artifact, even if it is very low in amplitude. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: MEG Modeling Citation: Tiganj Z, Mboup M, Pouzat C and Belkoura L (2010). An algebraic method for eye blink artifacts detection in single channel EEG recordings. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00064 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 22 Mar 2010; Published Online: 22 Mar 2010. * Correspondence: Zoran Tiganj, Nord Europe, Projcet ALIEN, INRIA Lille, Villeneuve d'Ascq, France, zoran.tiganj@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Zoran Tiganj Mamadou Mboup Christophe Pouzat Lotfi Belkoura Google Zoran Tiganj Mamadou Mboup Christophe Pouzat Lotfi Belkoura Google Scholar Zoran Tiganj Mamadou Mboup Christophe Pouzat Lotfi Belkoura PubMed Zoran Tiganj Mamadou Mboup Christophe Pouzat Lotfi Belkoura Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.