The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods

Manousos A. Klados, C. Papadelis, C. D. Lithari, P. D. Bamidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The presence of electrooculographic (EOG) artifacts in the electroencephalographic (EEG) signal is a major problem in the study of brain potentials. A variety of algorithms have been proposed to reject these artifacts including methods based on regression and blind source separation (BSS) techniques. None of them has so far been established as the method of choice. In the present study, the performances of five widely used EOG artifact rejection techniques are compared. The compared methodologies include two fully automated regression methods, one based on Least Mean Square (LMS) for its optimization process, and the other on Recursive Least Square (RLS) algorithm, two BSS techniques which use respectively the Extended — Independent Component Analysis (ext — ICA) and the Second Order Blind Identification (SOBI), and finally a time-varying adaptive algorithm based on H ∞ principles (H ∞ — TV). Each algorithm was applied in real EEG data and then their performance quantified in the time domain. The performance of RLS and H ∞ — TV were poor in removing eye — blink artifacts. For the rest of the methods the results supported the use of LMS technique and suggested the need for further research examining the performance of various artifact rejection techniques in both time and frequency domain.
LanguageEnglish
Title of host publication4th European Conference of the International Federation for Medical and Biological Engineering
PublisherSpringer
Pages1259-1263
ISBN (Electronic)978-3-540-89208-3
ISBN (Print)978-3-540-89207-6
DOIs
Publication statusPublished - 2009

Publication series

NameIFMBE Proceedings
PublisherSpringer
Volume22
ISSN (Print)1680-0737

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Blind source separation
Independent component analysis
Adaptive algorithms
Brain

Cite this

Klados, M. A., Papadelis, C., Lithari, C. D., & Bamidis, P. D. (2009). The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. In 4th European Conference of the International Federation for Medical and Biological Engineering (pp. 1259-1263). [Chapter 300] (IFMBE Proceedings; Vol. 22). Springer. https://doi.org/10.1007/978-3-540-89208-3_300
Klados, Manousos A. ; Papadelis, C. ; Lithari, C. D. ; Bamidis, P. D. / The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. 4th European Conference of the International Federation for Medical and Biological Engineering. Springer, 2009. pp. 1259-1263 (IFMBE Proceedings).
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Klados, MA, Papadelis, C, Lithari, CD & Bamidis, PD 2009, The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. in 4th European Conference of the International Federation for Medical and Biological Engineering., Chapter 300, IFMBE Proceedings, vol. 22, Springer, pp. 1259-1263. https://doi.org/10.1007/978-3-540-89208-3_300

The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. / Klados, Manousos A.; Papadelis, C.; Lithari, C. D.; Bamidis, P. D.

4th European Conference of the International Federation for Medical and Biological Engineering. Springer, 2009. p. 1259-1263 Chapter 300 (IFMBE Proceedings; Vol. 22).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Klados MA, Papadelis C, Lithari CD, Bamidis PD. The Removal Of Ocular Artifacts From EEG Signals: A Comparison of Performances For Different Methods. In 4th European Conference of the International Federation for Medical and Biological Engineering. Springer. 2009. p. 1259-1263. Chapter 300. (IFMBE Proceedings). https://doi.org/10.1007/978-3-540-89208-3_300