A potable platform to analyze EEG signal for transimting to mobile device via Wi-Fi

Author

Jiyong Lee ; Sungyoung Kim ; Yonghwan Lee

Author_Institution

Dept. of Electron. Eng., Kumoh Nat. Inst. of Technol., Gumi, South Korea

fYear

2015

fDate

24-26 June 2015

Firstpage

1

Lastpage

2

Abstract

In this paper, we develop a platform of medical instrumentation for real-time electroencephalogram(EEG) measurement and analysis system. This platform obtains EEG signal from electrode sensors, analyzes the signal and transmits the result to mobile device via Wi-Fi. Because the changes of EEG signal on the scalp received by electrode are in very small range, the signal is amplified by designed circuits. Low pass filter is applied in order to eliminate the component of breathing and high-pass filter is used to remove power supply noise. The digital logic in FPGA transforms time domain signal into frequency domain signal using 256 point radix-2 decimation-in-frequency as an FFT algorithm. The platform has developed on the FPGA development board.

Keywords

biomedical electrodes; biomedical electronics; electroencephalography; fast Fourier transforms; field programmable gate arrays; high-pass filters; low-pass filters; medical signal processing; pneumodynamics; portable instruments; signal denoising; time-frequency analysis; wireless LAN; EEG signal; FFT algorithm; FPGA development board; Wi-Fi; breathing; designed circuits; digital logic; electrode sensors; frequency domain signal; high-pass filter; low-pass filter; medical instrumentation; mobile device; point radix-2 decimation-in-frequency; portable platform; power supply noise removal; real-time electroencephalogram measurement; time domain signal transforms; electroencephalogram (EEG);

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE), 2015 IEEE International Symposium on

Conference_Location

Madrid

Type

conf

DOI

10.1109/ISCE.2015.7177814

Filename

7177814