Design of a 32-Channel EEG System for Brain Control Interface Applications
Author
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This study integrates the hardware circuit design and the development support of the software interface to achieve a 32-channel EEG system for BCI applications.
Since the EEG signals of human bodies are generally very weak, in addition to preventing noise interference, it also requires avoiding the waveform distortion as well as waveform offset and so on; therefore, the design of a preamplifier with high common-mode rejection ratio and high signal-to-noise ratio is very important.
Moreover, the friction between the electrode pads and the skin as well as the design of dual power supply will generate DC bias which affects the measurement signals.
For this reason, this study specially designs an improved single-power AC-coupled circuit, which effectively reduces the DC bias and improves the error caused by the effects of part errors.
At the same time, the digital way is applied to design the adjustable amplification and filter function, which can design for different EEG frequency bands.
For the analog circuit, a frequency band will be taken out through the filtering circuit and then the digital filtering design will be used to adjust the extracted frequency band for the target frequency band, combining with MATLAB to design man-machine interface for displaying brain wave.
Finally the measured signals are compared to the traditional 32-channel EEG signals.
In addition to meeting the IFCN standards, the system design also conducted measurement verification in the standard EEG isolation room in order to demonstrate the accuracy and reliability of this system design.
American Psychological Association (APA)
Wang, Ching-Sung. 2012. Design of a 32-Channel EEG System for Brain Control Interface Applications. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-459506
Modern Language Association (MLA)
Wang, Ching-Sung. Design of a 32-Channel EEG System for Brain Control Interface Applications. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-459506
American Medical Association (AMA)
Wang, Ching-Sung. Design of a 32-Channel EEG System for Brain Control Interface Applications. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-459506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459506