Effective EEG Motion Artifacts Elimination Based on Comparative Interpolation Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-017-4846-3/fulltext.html
Reference16 articles.
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2. Sweeney, K. T., Ward, T. E., & McLoone, S. F. (2012). Artifact removal in physiological signals-practices and possibilities. Information Technology in Biomedicine, 16(3), 488–500.
3. Robertson, F. C., Douglas, T. S., & Meintjes, E. M. (2010). Motion artifact removal for functional near infrared spectroscopy: A comparison of methods. IEEE Transactions on Biomedical Engineering, 57(6), 1377–1387.
4. Sweeney, K. T., McLoone, S. F., & Ward, T. E. (2013). The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique. IEEE Transactions on Biomedical Engineering, 60(1), 97–105.
5. Mijovic, B., Vos, M. D., Gligorijevic, I., Taelman, J., & Huffel, S. V. (2010). Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis. IEEE Transactions on Biomedical Engineering, 57(9), 2188–2196.
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