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Proceedings Paper

Data compression and storage into an EEG multichannel system using wavelets technique
Author(s): Volodymyr I. Ponomaryov; Leonardo Badillo; Cristina Juarez; J. Luis Sanchez; Luis Igartua; Juan C. Sanchez Garcia
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Paper Abstract

This paper presents the use of Wavelet function technique to compress and storage the EEG signal into a multichannel EEG system. This system consists of such components: multichannel bio-amplify, analog filters, ADC, microprocessor, DSP, PCMCIA memory, etc. The algorithms to compress EEG signal have been implemented using language C/C++. The proposed digital FIR filter to compress the signal has own coefficients chosen as the coefficients of Daubechies Wavelets. The results of experiments with implemented procedures have shown the compression ratio and SNRs values EEG in real time. Different results of the values of time for real compressing and storing are presented for DSP and AMD586 processor used.

Paper Details

Date Published: 16 May 2002
PDF: 8 pages
Proc. SPIE 4685, Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation, (16 May 2002); doi: 10.1117/12.467037
Show Author Affiliations
Volodymyr I. Ponomaryov, Instituto Politecnico Nacional (Mexico)
Leonardo Badillo, Instituto Politecnico Nacional (Mexico)
Cristina Juarez, Instituto Politecnico Nacional (Mexico)
J. Luis Sanchez, Instituto Politecnico Nacional (Mexico)
Luis Igartua, Instituto Politecnico Nacional (Mexico)
Juan C. Sanchez Garcia, Instituto Politecnico Nacional (Mexico)

Published in SPIE Proceedings Vol. 4685:
Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation
Eliot L. Siegel; H. K. Huang, Editor(s)

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