2020
DOI: 10.21203/rs.3.rs-85029/v1
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Single channel approach for filtering EEG signals strongly contaminated with facial EMG

Abstract: Background Eliminating facial electromyography (EMG) from the electroencephalogram (EEG) is essential for the accuracy of applications such as brain computer interfaces (BCIs) and quantification of brain functionality. Although it is possible to find several studies that address EEG filtering, there is lack of researches that improve the filtering of EEG strongly corrupted by EMG signals with single-channel approaches, which are necessary in situations in which the number of available channels is reduce… Show more

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