A New Design of Portable EEG Signal Acquisition System

Yong Xiang Li; Nian Qiang Li; Yang Liu

doi:10.4028/www.scientific.net/AMR.846-847.804

Paper Titles

Application of Pressure Sensing System in Wastewater Treatment of Mining Industry
p.786

Application of Electromagnetic Shielding Technology in the Electronic System
p.791

Fault Diagnosis Method for a Network Control System with Long-Time Delay and Data Packet Loss Based on H∞ Filtering
p.795

Network Control System Fault Diagnosis Method Based on Sliding Mode Observer
p.799

A New Design of Portable EEG Signal Acquisition System
p.804

Assessment Models and Rules of GNSS Interoperability
p.808

Adaptive Monopulse Angle Measurement for Meter-Wave Radar Based on Differential Constraints Technique
p.812

A New Scheme of Designing Frequency Synthesizer with Low Output Stray
p.818

An N-Bit DAC with Adjustable Precision and Range
p.822

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847A New Design of Portable EEG Signal Acquisition...

A New Design of Portable EEG Signal Acquisition System

Abstract:

Most of the electroencephalograph (EEG) acquisition systems use group of high precision electrical signal amplifier to record and analysis. But the huge input circuit and testing time is difficult to application for portable devices. In this paper, a new design of portable EEG signal acquisition system is designed. This paper presents an effective chip (ADS1299) implementation of an eight-channel EEG signal acquisition. Compared with the existing system, this design greatly simplifies the front-end circuits and improves the common mode rejection ratio (CMRR). The system has the features of high integration density, good flexibility and practicability. It is in line with the development trend of modern EEG, and meets the new requirements of modern EEG.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

804-807

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.804

Citation:

Cite this paper

Online since:

November 2013

Authors:

Yong Xiang Li*, Nian Qiang Li, Yang Liu

Keywords:

ADS1299, EEG, Portable

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] I. O sorio, M.G. Frei, and S. B. Wilkinson: Epilepsia, Vol. 39, no. 6(1998), p.615–627.

Google Scholar

[2] T. Zikov, S. Bibian, G. Ries: Quantifying cortical activity during general anesthesia using wavelet analysis (Trans Tech Publications, 2006).

DOI: 10.1109/tbme.2006.870255

Google Scholar

[3] D. f. Xu, Ming cheng, GAO X. r. Gao , S. k. Gao: An Application of DSP in Brain –Computer Interface (Department of Electrical Engineering, Beijing 2002).

Google Scholar

[4] Lin Zhu, Haifeng Chen, Xu Zhang, Kai Guo, Shujing Wang, Yu Wang, Weihua Pei, Hongda Chen: Design of Portable Multi-Channel EEG Signal Acquisition System (Biomedical Engineering and Informatics, Tianjin 2009).

DOI: 10.1109/bmei.2009.5304951

Google Scholar

[5] Robert Lin, Ren-Guey Lee, Chwan-Lu Tseng, Yan-Fa Wu and Joe-Air Jiang: Design and Implementation of Wireless Multi-Channnel EEG Recording System and Study of EEG Clustering Method (Biomedical Engineering Applications, Basis & Communications, 2006).

DOI: 10.4015/s1016237206000427

Google Scholar

[6] T.J. Sullivan, S.R. Deiss, G. Cauwenberghs, and T. -P. Jung: A low-noise low-power EEG acquisition node for scalable brain-machine interfaces (Proc. SPIE Bioengineered and Bioinspired Systems III, Spain 2007).

DOI: 10.1117/12.724019

Google Scholar

[7] T.J. Sullivan, S.R. Deiss, T. -P. Jung, and G. Cauwenberghs: A Brain-Machine Interface using Dry-Contact, Low-Noise EEG Sensors (Proc. IEEE Int. Symp. Circuits and Systems, 2008).

DOI: 10.1109/iscas.2008.4541835

Google Scholar

[8] Information on http: / www. ti. com.

Google Scholar

[9] Wei-Yen Hsu: Computers in Biology and Medicine (Computers in Biology and Medicine, 2011).

Google Scholar