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In present study, a novel and robust technique is presented to eliminate ocular artifacts from EEG signals automatically. Independent component analysis (ICA) ...
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Feb 26, 2019 · Several methods have been proposed to remove artifacts, but the research on artifact removal continues to be an open problem. This paper tends ...
This paper investigates the use of deep learning network (DLN) to remove ocular artifacts in EEG signals. •. For practical use of rehabilitation system ...
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In this paper, a combined ICA and regression-based method is developed for automatic identification and removal/reduction of ocular artifacts from EEG data.
Abstract. Electroencephalogram (EEG) signals are often contaminated by ocular artifacts. In present study, a novel and robust technique is presented to ...
This article presents a method based on blind source separation. (BSS) for automatic removal of electroocular artifacts from EEG data. BBS is a signal- ...
Jun 25, 2021 · It can effectively remove the EOG artifacts when causes less EEG distortion and has less algorithm complexity at the same time. It helps to ...
May 26, 2021 · This method removes eye-blink artifact without altering the uncontaminated regions in the EEG signal. In this method, first, a skeleton of eye- ...
Removing eye-blink artifacts automatically from the ElectroEncephaloGram signals using FastICA, K-means, Modified Z-Scores and Adaptive Noise Cancelling methods ...
Automatic removal of ocular artifacts in the EEG without a reference EOG channel. In 7th Nordic Signal Processing Symposium NORSIG, Reykjavik, Iceland.
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