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Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis
2017
Sensors
As a diagnostic monitoring approach, electroencephalogram (EEG) signals can be decoded by signal processing methodologies for various health monitoring purposes. However, EEG recordings are contaminated by other interferences, particularly facial and ocular artifacts generated by the user. This is specifically an issue during continuous EEG recording sessions, and is therefore a key step in using EEG signals for either physiological monitoring and diagnosis or brain-computer interface to
doi:10.3390/s17122895
pmid:29236042
pmcid:PMC5750748
fatcat:ng4p4flsk5bmrp7nwhg4d2q27y