Real-time EEG processing based on Wavelet Transformation

T. Malina; A. Folkers; U. G. Hofmann

Real-time EEG processing based on Wavelet Transformation

T. Malina, A. Folkers, U. G. Hofmann

Institute of Signal Processing

Abstract

We report on a novel data acquisition system, as part of a project to measure feedbackcoupled ERP signals, which uses wavelet transformation to decompose EEG signals in realtime in their respective energy bands. Due to constraints in DSP-based computing power, we have to settle for the less than optimal decomposition by short wavelets, but nevertheless achieve satisfactory discrimination power for clinical applications.

Original language	English
Pages	1-2
Number of pages	2
Publication status	Published - 2002
Event	12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics - Reykjavik, Iceland Duration: 18.06.2002 → 22.06.2002

Conference

Conference	12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics
Country/Territory	Iceland
City	Reykjavik
Period	18.06.02 → 22.06.02

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Cite this

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title = "Real-time EEG processing based on Wavelet Transformation",

abstract = "We report on a novel data acquisition system, as part of a project to measure feedbackcoupled ERP signals, which uses wavelet transformation to decompose EEG signals in realtime in their respective energy bands. Due to constraints in DSP-based computing power, we have to settle for the less than optimal decomposition by short wavelets, but nevertheless achieve satisfactory discrimination power for clinical applications. ",

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AU - Malina, T.

AU - Folkers, A.

AU - Hofmann, U. G.

PY - 2002

Y1 - 2002

N2 - We report on a novel data acquisition system, as part of a project to measure feedbackcoupled ERP signals, which uses wavelet transformation to decompose EEG signals in realtime in their respective energy bands. Due to constraints in DSP-based computing power, we have to settle for the less than optimal decomposition by short wavelets, but nevertheless achieve satisfactory discrimination power for clinical applications.

AB - We report on a novel data acquisition system, as part of a project to measure feedbackcoupled ERP signals, which uses wavelet transformation to decompose EEG signals in realtime in their respective energy bands. Due to constraints in DSP-based computing power, we have to settle for the less than optimal decomposition by short wavelets, but nevertheless achieve satisfactory discrimination power for clinical applications.

UR - https://www.semanticscholar.org/paper/Real-time-EEG-processing-based-on-Wavelet-Malina-Folkers/1d0e8037d9322d3d333826baebc5643655822e24

UR - https://www.researchgate.net/publication/2842486_Real-time_EEG_processing_based_on_Wavelet_Transformation

M3 - Conference Papers

SP - 1

EP - 2

T2 - 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics

Y2 - 18 June 2002 through 22 June 2002

ER -

Real-time EEG processing based on Wavelet Transformation

Abstract

Conference

UN SDGs

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