EOG-related noise rejection in EEG signal with eye movement task by tensor product expansion with absolute error

Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Eye movement origin electrooculogram (EOG) artifacts yield significant problems for the saccade-related electroencephalogram (EEG) and its analysis. The denoising of EOG artifacts is important task to analyze the relationship between a saccade and a brain function. In this paper, a tensor product expansion with absolute error (TPE-AE) is applied to reduce the EOG artifacts from the EEG signal. The TPE-AE has some difficulty to separate the EOG from the saccade-related EEG data due to a background noise from a spontaneous EEG activity. We show that the TPE-AE, which calculates two outer products, is useful to reduce EOG components related to the eye movement.

Original languageEnglish
Pages (from-to)706-710
Number of pages5
JournalEuropean Signal Processing Conference
Publication statusPublished - 2010
Externally publishedYes
Event18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark
Duration: 23 Aug 201027 Aug 2010

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