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Title |
A Wavelet based Statistical Method for De-Noising of Ocular Artifacts in EEG Signals |
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Author |
P. Senthil Kumar, R. Arumuganathan, K. Sivakumar, C. Vimal |
| Citation |
Vol. 8 No. 9 pp. 87-92 |
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Abstract |
This paper presents a new empirical method for de-noising of ocular artifacts in the electroencephalogram (EEG) records. In many biomedical signal processing approach, source signals are noisy and some have kurtosis close to zero. These noise sources increase the difficulty in analyzing the EEG and obtaining the clinical information. To remove this artifacts a method based on Donoho’s de-noising method is used. Recently Stationary Wavelet Transform (SWT) has been used to de-noise the corrupted EEG signals. In this paper, statistical empirical method for removing ocular artifacts from EEG recordings through SWT is suggested. |
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Keywords |
EEG, de-noising, ocular artifacts, stationary wavelet transform |
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