Raghavendra, BS and Dutt, D Narayana (2007) Correction of Ocular Artifacts in EEG Recordings using Empirical Mode Decomposition. In: National Conference on Communication (NCC-2007), 2007, Kanpur.
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EEG recordings are often contaminated with ocular artifacts such as eye blinks and eye movements. These artifacts may obscure underlying brain activity in the electroencephalogram (EEG) data and make the analysis of the data difficult. In this paper, we explore the use of empirical mode decomposition (EMD) based filtering technique to correct the eye blinks and eye movementartifacts in single channel EEG data. In this method, the single channel EEG data containing ocular artifact is segmented such that the artifact in each of the segment is considered as some type of slowly varying trend in the dataand the EMD is used to remove the trend. The filtering is done using partial reconstruction from components of the decomposition. The method is completely data dependent and hence adaptive and nonlinear. Experimental results are provided to check the applicability of the method on real EEG data and the results are quantified using power spectral density (PSD) as a measure. The method has given fairlygood results and does not make use of any preknowledge of artifacts or the EEG data used.
|Item Type:||Conference Paper|
|Keywords:||Electroencephalogram;ocular artifacts; empirical mode decomposition|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||17 Mar 2010 12:23|
|Last Modified:||19 Sep 2010 05:57|
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