An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal

@article{Priyadharsini2012AnES,
  title={An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal},
  author={S. Suja Priyadharsini and S. Edward Rajan},
  journal={Appl. Soft Comput.},
  year={2012},
  volume={12},
  pages={1131-1137}
}
Electroencephalography (EEG) is the recording of electrical activity of neurons within the brain and is used for the evaluation of brain disorders. But, EEG signals are contaminated with various artifacts which make interpretation of EEGs clinically difficult. In this research paper, we use a soft-computing technique called ANFIS (Adaptive Neuro-Fuzzy Inference System) for the removal of EOG artifact, combined EOG and EMG artifact. Improvement in the output signal to noise ratio and minimum… CONTINUE READING