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Interictal EEG denoising using independent component analysis and empirical mode decomposition

Salsabili, S ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/TSP.2015.7296475
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Noise contamination is inevitable in biomedical recordings. In some cases biomedical recordings are highly contaminated with artifacts which make the effective recovering process hard to achieve. Many different methods have been proposed for artifact removal from biomedical signals but introducing an effective method which can present valuable data for medical analysis, is still an ongoing process. In this paper a new method for interictal EEG denoising is presented. Single-channel ICA denoising method based on EMD decomposition is used to improve the multi-channel ICA denoising results. This method is tested on simulated epileptic recordings which are contaminated with real muscle artifact and EEG background activity
  6. Keywords:
  7. EEG background activity ; EMD ; Interictal Epileptic Spikes ; Multi-channel ICA denoising ; Muscle artifact ; Single Channel ICA ; Bioelectric phenomena ; Independent component analysis ; Muscle ; Biomedical recordings ; De-noising ; Emd decompositions ; Empirical Mode Decomposition ; Epileptic spikes ; Noise contamination ; Recovering process ; Single channels ; Signal processing
  8. Source: 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015, 9 July 2015 through 11 July 2015 ; July , 2015 , Page(s): 1 - 6 ; 9781479984985 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7296475