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Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End

The aim of this study is to present some practical state-of-the-art considerations in acquiring satisfactory signals for electroencephalographic signal acquisition. These considerations are important for users and system designers. Especially choosing correct electrode and design strategy of the ini...

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Detalles Bibliográficos
Autor principal: Usakli, Ali Bulent
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2817545/
https://www.ncbi.nlm.nih.gov/pubmed/20148074
http://dx.doi.org/10.1155/2010/630649
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author Usakli, Ali Bulent
author_facet Usakli, Ali Bulent
author_sort Usakli, Ali Bulent
collection PubMed
description The aim of this study is to present some practical state-of-the-art considerations in acquiring satisfactory signals for electroencephalographic signal acquisition. These considerations are important for users and system designers. Especially choosing correct electrode and design strategy of the initial electronic circuitry front end plays an important role in improving the system's measurement performance. Considering the pitfalls in the design of biopotential measurement system and recording session conditions creates better accuracy. In electroencephalogram (EEG) recording electrodes, system electronics including filtering, amplifying, signal conversion, data storing, and environmental conditions affect the recording performance. In this paper, EEG electrode principles and main points of electronic noise reduction methods in EEG signal acquisition front end are discussed, and some suggestions for improving signal acquisition are presented.
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spelling pubmed-28175452010-02-10 Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End Usakli, Ali Bulent Comput Intell Neurosci Research Article The aim of this study is to present some practical state-of-the-art considerations in acquiring satisfactory signals for electroencephalographic signal acquisition. These considerations are important for users and system designers. Especially choosing correct electrode and design strategy of the initial electronic circuitry front end plays an important role in improving the system's measurement performance. Considering the pitfalls in the design of biopotential measurement system and recording session conditions creates better accuracy. In electroencephalogram (EEG) recording electrodes, system electronics including filtering, amplifying, signal conversion, data storing, and environmental conditions affect the recording performance. In this paper, EEG electrode principles and main points of electronic noise reduction methods in EEG signal acquisition front end are discussed, and some suggestions for improving signal acquisition are presented. Hindawi Publishing Corporation 2010 2010-02-02 /pmc/articles/PMC2817545/ /pubmed/20148074 http://dx.doi.org/10.1155/2010/630649 Text en Copyright © 2010 Ali Bulent Usakli. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Usakli, Ali Bulent
Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title_full Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title_fullStr Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title_full_unstemmed Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title_short Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End
title_sort improvement of eeg signal acquisition: an electrical aspect for state of the art of front end
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2817545/
https://www.ncbi.nlm.nih.gov/pubmed/20148074
http://dx.doi.org/10.1155/2010/630649
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