Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data

@inproceedings{Khatun2016ComparativeSO,
  title={Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data},
  author={Saleha Khatun and Ruhi Mahajan and Bashir I. Morshed},
  booktitle={IEEE Journal of Translational Engineering in Health and Medicine},
  year={2016}
}
Electroencephalogram (EEG) is a technique for recording the asynchronous activation of neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye blink activities, can corrupt these neuronal signals. While ocular artifact (OA) removal is well investigated for multiple channel EEG systems, in alignment with the recent… CONTINUE READING

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