Non-linear filter based outer product expansion with reference signal for EEG analysis

This paper addresses a saccade-related electrooculogram (EOG) reduction using outer product expansion with nonlinear filter. The saccade-related electroencephalogram (EEG) signal produced by the saccadic eye movement is adopted to analyze relationship between a brain function and a human activity. Eye movement origin EOG artifacts denoising is important task to analyze the relationship between the saccade and the EEG. The tensor product expansion with absolute error (TPE-AE), which calculates two terms of outer product using reference signal, was proposed to reduce EOG artifacts. However, this TPE-AE has a significant problem corresponding to a calculation cost. In this paper, we propose and apply the median based outer product expansion with reference signal to estimate EOG component accurately. Results show that the proposed TPE-AE is effective to separate the EOG component and other noises.