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EEG real-time feedback based on STFT and coherence analysis

机译:基于STFT和相干分析的EEG实时反馈

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摘要

A method and system of real-time feedback and analyzing Electroencephalogram (EEG) using short-time Fourier transform (STFT) and coherence analysis is presented in this paper. The system composition of hardware and software are described. By the utilization of this method and system, the EEG's real-time time-frequency distribution (TFD) is obtained, and the EEG temporal spectral 3-dimension array is displayed on computer's screen for EEG realtime feedback. The time-frequency analysis (TFA) such as Wigner-Ville distribution (WVT) and wavelet transform (WT), has been successfully applied in some biomedical signals to detect both temporal and spectral features of biomedical signals. But real-time realization of TFA is difficult since the computation complication of WVT and WT. By using the STFT algorithm, we develop a system for the EEG feedback and TFA in real-time. This system may be used for EEG biofeedback, and possesses the value of clinical practice.
机译:提出了一种利用短时傅立叶变换(STFT)和相干分析进行脑电图(EEG)实时反馈分析的方法和系统。描述了硬件和软件的系统组成。通过使用该方法和系统,获得了脑电图的实时时频分布(TFD),并在计算机屏幕上显示了脑电图的时域频谱三维阵列,以进行脑电图的实时反馈。 Wigner-Ville分布(WVT)和小波变换(WT)等时频分析(TFA)已成功应用于某些生物医学信号中,以检测生物医学信号的时间和频谱特征。但是由于WVT和WT的计算复杂性,TFA的实时实现很困难。通过使用STFT算法,我们实时开发了一个用于EEG反馈和TFA的系统。该系统可用于脑电生物反馈,具有临床实践价值。

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