Removal of Ocular Artifacts from EEG Signals Using Adaptive Threshold PCA and Wavelet Transforms

@article{Babu2011RemovalOO,
  title={Removal of Ocular Artifacts from EEG Signals Using Adaptive Threshold PCA and Wavelet Transforms},
  author={Palathingal A Babu and K. V. S. V. R. Prasad},
  journal={2011 International Conference on Communication Systems and Network Technologies},
  year={2011},
  pages={572-575}
}
It becomes more difficult to identify and analyze the Electroencephalogram (EEG) signals when it is corrupted by eye movements and eye blinks. This paper gives the different methods how to remove the artifacts in EEG signals. In this paper we proposed wavelet based threshold method and Principal Component Analysis (PCA) based adaptive threshold method to remove the ocular artifacts. Compared to the wavelet threshold method PCA based adaptive threshold method will gives the better PSNR value and… CONTINUE READING

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Removal of ocular artifacts from EEG by adaptive filtering ”

C. Russell
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