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

Author

Usakli, Ali Bulent

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-02-02

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Biology

Abstract EN

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.

American Psychological Association (APA)

Usakli, Ali Bulent. 2010. Improvement of EEG Signal Acquisition : An Electrical Aspect for State of the Art of Front End. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-486581

Modern Language Association (MLA)

Usakli, Ali Bulent. Improvement of EEG Signal Acquisition : An Electrical Aspect for State of the Art of Front End. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-486581

American Medical Association (AMA)

Usakli, Ali Bulent. Improvement of EEG Signal Acquisition : An Electrical Aspect for State of the Art of Front End. Computational Intelligence and Neuroscience. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-486581

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-486581