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

机译:一种便携式平台,用于分析EEG信号,通过Wi-Fi传输到移动设备

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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.
机译:在本文中,我们开发了一个用于实时脑电图(EEG)测量和分析系统的医疗仪器平台。该平台从电极传感器获得EEG信号,通过Wi-Fi分析信号并将结果发送到移动设备。因为电极接收的头皮上的EEG信号的变化在非常小的范围内,所以信号被设计的电路放大。应用低通滤波器以消除呼吸的分量,使用高通滤波器去除电源噪声。 FPGA中的数字逻辑使用256点基数-2抽取频率作为FFT算法将时域信号转换为频域信号。该平台已在FPGA开发板上开发。

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