Double density wavelet for EEG signal denoising
EEG signals usually were contaminated with unwanted artefacts that may hide some valuable information in the signals. In this paper, we implemented wavelet based image processing techniques known as 1-D Double Density and 1-D Double Density Complex for denoising EEG signals at various windows size....
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/37573/ |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | EEG signals usually were contaminated with unwanted artefacts that may hide some valuable information in the signals. In this paper, we implemented wavelet based image processing techniques known as 1-D Double Density and 1-D Double Density Complex for denoising EEG signals at various windows size. The performances of these methods were compared and evaluated by calculating the Root Mean Square Error (RMSE). The minimum RMSE was achieved at the threshold value of 20. The 1-D Double Density Complex was outperformed 1-D Double Density and was effective in EEG signals denoising. |
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