Application of median filtering for cleaning electroencephalogram signals from outer motor artifacts

Electroencephalography is the simplest way to record the activity of the brain, however, artifacts arise that affect the operation of the brain-computer interface. The article proposes a median filtering method for cleaning EEG signals. A review of existing methods for removing artifacts from electroencephalogram signals is carried out. Comparison of methods for cleaning from oculomotor artifacts using median filtering and an adaptive algorithm based on Haar, Daubechies and Coyflet wavelets has been carried out. The proposed method of median filtering, applied to electroencephalogram signals, gave a good result in comparison with the adaptive method known earlier.