Removal of Artifact from the Brain Signal Using Discrete Cosine Transform

Electroencephalogram (EEG) signal processing is an emerging research area out of many biomedical applications. Brain waves study and characterization can be done for various faults. However, artifacts within the signal are like inherent property. The removal of artifacts is the major challenge that has been considered in this work by authors. The removal process is transformed based application within independent components. In first stage, the independent components are derived from the raw data. Further, the artifact channels are identified using statistical approach. Scaled entropy and kurtosis are used for it and fixed the threshold level. Finally, the application of discrete cosine transform (DCT) provides the clean signal that is used for analysis and diagnosis. The results are exhibited in the result section and compared with earlier methods.

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