出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper presents the real-time implementation on FPGA of the wavelet-based denoisingtechnique to remove the ocular artifact from the signal-channel EEG signal. The advantage ofthis method over conventional methods is that there is no need for the recording of theelectrooculogram (EOG) signal itself. This approach papers both for eye blinks and eyemovements. Discrete Wavelet Transform (DWT) is selected end the hard-thresholding is appliedto the wavelet coefficients using the Statistical Threshold (ST) estimated in interested bands.This real-time architecture presents two characteristics: 1) quantization of the filter coefficientsand the elimination of the multiplier to reduce the hard cost, and 2) symmetrical extension of thesignal boundary to full reconstruction while the data volume is invariable. Experimental resultsshow that proposed architecture efficiently removes the ocular artifact from EEG signal.
