Performance Enhancement of Complete Ensemble Empirical Mode Decomposition (CEEMD) - Independent Component Analysis (ICA) In Ocular Artifact Removal
作者： Brahmantya Aji Pramudita , Budi Sumanto , Noor Akhmad Setiawan , Igi Ardiyanto
DOI: 10.1109/ICST47872.2019.9166351
关键词:
摘要: Inaccuracies in removing Ocular Artifact (OA) EEG signals can cause loss of information signals. Several previous methods utilize the feature OA to detect and then remove all components contaminated by OA. Those processes high errors removal results. A error indicates that any is lost during process. The purpose this research develop combination CEEMD ICA order improve performance eliminating without omitting In its implementation, are enhanced entropy method find out existence OA, Teager Kaiser Energy Operator (TKEO) measure energy. Both ways make it easier eliminate using modified z-score method. result test Relative Error (RE) proposed successfully eliminates with average 0.4365 for Dataset A, 0.4597 B, 0.5337 C. Thus, results show able interfering signal.
sci-hub.st 参考文章(33)
S. Arumugam, L. S. Jayashree, K. Vijayalakshmi, A Robust Outlier Detection Scheme for Collaborative Sensor Networks Journal of Digital Information Management. ,vol. 5, pp. 13- 18 ,(2007)
Liu Mingliang, Wang Keqi, Sun Laijun, Zhen Jianju, Applying empirical mode decomposition (EMD) and entropy to diagnose circuit breaker faults Optik. ,vol. 126, pp. 2338- 2342 ,(2015) , 10.1016/J.IJLEO.2015.05.145
Faridah Abd Rahman, Mohd Fauzi Othman, Nurul Aimi Shaharuddin, A review on the current state of artifact removal methods for electroencephalogram signals asian control conference. pp. 1- 6 ,(2015) , 10.1109/ASCC.2015.7244679
Hosna Ghandeharion, Abbas Erfanian, A fully automatic method for ocular artifact suppression from EEG data using wavelet transform and independent component analysis. international conference of the ieee engineering in medicine and biology society. ,vol. 1, pp. 5265- 5268 ,(2006) , 10.1109/IEMBS.2006.259609
J.F. Kaiser, On a simple algorithm to calculate the 'energy' of a signal International Conference on Acoustics, Speech, and Signal Processing. pp. 381- 384 ,(1990) , 10.1109/ICASSP.1990.115702
Lorena Orosco, Agustina Garces, Eric Laciar, Epileptic Seizures Detection Based on Empirical Mode Decomposition of EEG Signals Management of Epilepsy - Research, Results and Treatment. ,(2011) , 10.5772/18302
M. Shahbakhti, Z. Zareei, M. Naji, Investigation of two methods based on Empirical Mode Decomposition for removal of real and contaminated blink from EEG international conference on information fusion. pp. 174- 180 ,(2013)
Mohammad B. Shamsollahi, Sina Salsabili, Sepideh Hajipour Sardoui, Interictal EEG denoising using independent component analysis and empirical mode decomposition international conference on telecommunications. pp. 1- 6 ,(2015) , 10.1109/TSP.2015.7296475
Kevin T. Sweeney, Seán F. McLoone, Tomás E. Ward, The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique IEEE Transactions on Biomedical Engineering. ,vol. 60, pp. 97- 105 ,(2013) , 10.1109/TBME.2012.2225427
M. H. Soomro, N. Badruddin, M. Z. Yusoff, A. S. Malik, A method for automatic removal of eye blink artifacts from EEG based on EMD-ICA international colloquium on signal processing and its applications. pp. 129- 134 ,(2013) , 10.1109/CSPA.2013.6530028