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8 March 2002 Compression of EEG multichannel signal using wavelets
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Abstract
In here we present the application of Wavelet function to compress the electroencephalogram (EEG) into a multichannel system. The system consists of electronic components as bio-amplifies, analog filters, multi-channel ADC, microprocessor, PCMCIA memory, etc. The compressing algorithms for EEG signal were implemented using language C/C++. The coefficients of digital FIR filter into compression algorithm were chosen as the coefficients of Daubechies Wavelets. The experiments presented in this paper have demonstrated the possibility to compress the EEG in real time. The fidelity of compressed EEG signal has been verified. Different results of the time values needed for compressing are presented in the cases of use DSP and AMD586 processor.
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Volodymyr I. Ponomaryov, Leonardo Badillo, Cristina Juarez, J. Luis Sanchez, Luis Igartua, and Juan C. Sanchez Garcia "Compression of EEG multichannel signal using wavelets", Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); https://doi.org/10.1117/12.458753
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