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Electroencephalogram (EEG) recordings are often contaminated with muscle artifacts. Muscular activities strongly obscure EEG signals and complicate subsequent EEG-based data analysis. Conventional methods for removing muscle artifact from EEG are usually based on blind source separation techniques and involve jointly analyzing multichannel EEG recordings. Instead of using the multichannel approaches,...
A recently developed novel nanofiber-based strain sensor is introduced as a potential alternative to the conventional measurement tools for heart beat rate monitoring. Since the measured signals in real life are often contaminated by certain artifacts, in this paper, to overcome limitations of currently available empirical mode decomposing (EMD) and blind source separation-based methods and recover...
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