Classifying eye and head movement artifacts in EEG signals

  title={Classifying eye and head movement artifacts in EEG signals},
  author={Neisha A. Chadwick and David A. McMeekin and Tele Tan},
  journal={5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)},
Brain Computer Interfaces has some exciting prospects such as controlling devices at the speed of thought. However BCI technology is far from attaining this goal. A significant challenge the EEG-based system has is the interference of artifacts in the EEG generated by eye and head movement. This paper presents the use of machine learning techniques to classify artifacts in the EEG. Successful artifact classification was then be applied to improve existing artifact removal techniques. The… CONTINUE READING
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