Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold
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DOI: 10.1109/jbhi.2020.2995235
Abstract: This paper proposes an automatic eyeblink artifacts removal method from corrupted-EEG signals using discrete wavelet transform (DWT) and meta-heuristically optimized threshold. The novel idea of thresholding approximation-coefficients (ACs) instead of detail-coefficients (DCs) of DWT of… read more here.
Keywords: wavelet; eeg signal; heuristically optimized; automatic eyeblink ... See more keywords