@inproceedings{g_rosas-cholula_jm_ramirez-cortes_head_2013,
	title = {Head movement artifact removal in {EEG} signals using {Empirical} {Mode} {Decomposition} and {Pearson} {Correlation}},
	url = {http://world-comp.org/p2013/ICA3048.pdf},
	abstract = {This paper presents an approach on head movement artifact removal from EEG signals, in the context of an ongoing brain computer interface project. The proposed artifact removal scheme is based on Empirical Mode Decomposition (EMD) applied to the signals obtained from each electrode. Correlation analysis using Pearson coefficient allows identification of those intrinsic mode functions related to common artifacts, which are associated to head movement. The goal of this experiment is separation of signals corresponding to single and double blinking from head movement artifacts. Once the preprocessing is applied, blinking detection is reduced to threshold operations. Final selection step based on Mahalanobis distance provides a detection rate of 95\% in average.},
	author = {G. Rosas-Cholula JM. Ramirez-Cortes, P. Gomez-Gil, V Alarcon-Aquino, J. Rangel-Magdaleno},
	year = {2013},
}

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