Ocular Artifacts Removal from EEG Using EMD
Electroencephalogram (EEG) provides a non-invasive way to analyze brain activity. Blinking and movement of the eyes causes a strong electrical activity that can contaminate EEG recordings, particularly around the forehead but also as far as in occipital areas. Removal of such ocular artifacts is a considerable signal processing problem, since those artifacts overlap in frequency domain with EEG. In this paper we propose a signal reconstruction method based on a time frequency analysis tool known as the Hilbert-Huang spectrum. We demonstrate how our reconstruction scheme can be successfully applied to contaminated EEG data for the purposes of removing unwanted ocular artifacts.
KeywordsEmpirical Mode Decomposition Instantaneous Frequency Intrinsic Mode Function Ocular Artifact Hilbert Spectrum
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- 1.Huang, N., Shen, Z., Long, S., Wu, M., Shih, H., Zheng, Q., Yen, N.C., Tung, C., Liu, H.: The empiric almode decomposition and the hilbert spectrum for nonlin-ear and non-stationary time series analysis. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 454 (1971) (March 1998) 903–995.Google Scholar
- 2.Souretis, G., Mandic, D.P., Griselli, M., Tanaka, T., Hulle, M.M.V.: Blood volume signal analysis with empirical mode decomposition. In: Proceedings of the 15th International DSP Conference. (2007) 147–150.Google Scholar
- 3.Weng, B., Barner, K.E.: Optimal and bidirectional optimal empirical mode decomposition. In: Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing.Volume III., Honolulu, Hawaii, U.S.A. (April1 5–20, 2007) 1501–1504.Google Scholar