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http://dx.doi.org/10.6109/jkiice.2010.14.11.2548

A design of FFT processor for EEG signal analysis  

Kim, Eun-Suk (금오공과대학교 전자공학부)
Shin, Kyung-Wook (금오공과대학교 전자공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.11, 2010 , pp. 2548-2554 More about this Journal
Abstract
This paper describes a design of fast Fourier transform(FFT) processor for EEG(electroencephalogram) signal analysis for health care services. Hamming window function with 1/2 overlapping is adopted to perform short-time FFT(ST-FFT) of a long period EEG signal occurred in real-time. In order to analyze efficiently EEG signals which have frequency characteristics in the range of 0 Hz to 100 Hz, a 256-point FFT processor is designed, which is based on a single-memory bank architecture and the radix-4 algorithm. The designed FFT processor has been verified by FPGA implementation, and has high accuracy with arithmetic error less than 2%.
Keywords
EEG signal analysis; FFT; Short-Time FFT; Spectral analysis; Hamming Window;
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