Authors: John William Carey Medithe; Usha Rani Nelakuditi
Addresses: Department of Electronics and Communications Engineering, Vignan's Foundation for Science, Technology and Research University, Guntur, Andhra Pradesh, India ' Department of Electronics and Communications Engineering, Vignan's Foundation for Science, Technology and Research University, Guntur, Andhra Pradesh, India
Abstract: Electroencephalogram (EEG) is a significant medical imaging tool which reflects the electrical activity of the brain due to firing of the neurons in brain. These EEG potentials will be in an order of microvolt, which is low in amplitude are prone to contamination of artefacts from other human organs like eye, muscle, heart, etc. The overlapping of the artefacts on normal EEG may affect the physician's interpretation of EEG, finally leading to wrong diagnosis. Among the all the artefacts contaminating into the EEG signal Ocular Artefact (OA) is the dominant artefact. This is because the OA caused by the eye is very much nearer to the psyche. This paper gives the perspective of various methods used to filter the ocular artefacts. The benefits and drawbacks of each method are also presented. Outcomes of respective methods when the EEG signal applied are simulated using EEGLAB Toolbox for MATLAB and NI LabVIEW.
Keywords: EEG; electroencephalogram; ICA; ocular artefacts; PCA; wavelet decomposition.
International Journal of Biomedical Engineering and Technology, 2018 Vol.28 No.2, pp.147 - 159
Received: 30 Jun 2016
Accepted: 27 Sep 2016
Published online: 30 Aug 2018 *