Hybrid Fractal-Wavelet Method for Multi-Channel EEG Signal Compression |
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Authors: | Jamal Saeedi Karim Faez Mohammad Hassan Moradi |
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Affiliation: | 1. Electrical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), 424, Hafez Ave., Tehran, Iran 2. Biomedical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), 424, Hafez Ave., Tehran, Iran
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Abstract: | In this paper, a hybrid method is proposed for multi-channel electroencephalograms (EEG) signal compression. This new method takes advantage of two different compression techniques: fractal and wavelet-based coding. First, an effective decorrelation is performed through the principal component analysis of different channels to efficiently compress the multi-channel EEG data. Then, the decorrelated EEG signal is decomposed using wavelet packet transform (WPT). Finally, fractal encoding is applied to the low frequency coefficients of WPT, and a modified wavelet-based coding is used for coding the remaining high frequency coefficients. This new method provides improved compression results as compared to the wavelet and fractal compression methods. |
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