Compression of EEG multichannel signal using wavelets

V. Ponomaryov; L. Badillo; C. Juarez; J. L. Sanchez; L. Igartua; J. C. Sanchez

doi:10.1117/12.458753

Compression of EEG multichannel signal using wavelets

V. Ponomaryov, L. Badillo, C. Juarez, J. L. Sanchez, L. Igartua, J. C. Sanchez

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Contribution to journal › Conference article › peer-review

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 case of use DSP and AMD586 processor.

Original language	English
Pages (from-to)	402-409
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4738
DOIs	https://doi.org/10.1117/12.458753
State	Published - 2002
Event	Wavelet and Independent Component Analysis Applications IX - Orlando, FL, United States Duration: 3 Apr 2002 → 5 Apr 2002

Keywords

DSP
Data compression
Multi-channel electroencephalogram
Wavelets

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10.1117/12.458753

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title = "Compression of EEG multichannel signal using wavelets",

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 case of use DSP and AMD586 processor.",

keywords = "DSP, Data compression, Multi-channel electroencephalogram, Wavelets",

author = "V. Ponomaryov and L. Badillo and C. Juarez and Sanchez, {J. L.} and L. Igartua and Sanchez, {J. C.}",

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TY - JOUR

T1 - Compression of EEG multichannel signal using wavelets

AU - Ponomaryov, V.

AU - Badillo, L.

AU - Juarez, C.

AU - Sanchez, J. L.

AU - Igartua, L.

AU - Sanchez, J. C.

PY - 2002

Y1 - 2002

N2 - 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 case of use DSP and AMD586 processor.

AB - 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 case of use DSP and AMD586 processor.

KW - DSP

KW - Data compression

KW - Multi-channel electroencephalogram

KW - Wavelets

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Wavelet and Independent Component Analysis Applications IX

Y2 - 3 April 2002 through 5 April 2002

ER -

Compression of EEG multichannel signal using wavelets

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Keywords

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