Methods for removal of artifacts from EEG signal: A review
Shailaja Kotte, J. R. K. Kumar Dabbakuti
Abstract
Abstract Electroencephalogram (EEG)is the record of cerebral activity, the electric potential of cerebral activity is of low amplitude, and less frequency ranges between 4 to 60 Hz, which can easily mix up different non-cerebral signals and other environmental noise signals. The extraction of actual cerebral signals from the contaminated EEG signal is the major challenge in medical analysis. Somehow, during the recording of the EEG signal, contamination of other signals takes place, which increases complexity in analyzing the accurate EEG signal. This leads to inaccurate information signals in the analysis. Accordingly, the process to eliminate the unwanted signals in the pre-processing level is mandatory in brain signal analysis. The unwanted signals from various sources are together termed as artifacts; the researchers have implemented various techniques to reduce the undesired signals. However, still, there is no standard technique in detecting and eliminating the artifacts, and hence, the research became most challenging.