Mental task classifications using prefrontal cortex electroencephalograph signals

@article{Chai2012MentalTC,
  title={Mental task classifications using prefrontal cortex electroencephalograph signals},
  author={Rifai Chai and Sai-Ho Ling and Gregory P. Hunter and Hung T. Nguyen},
  journal={2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2012},
  pages={1831-1834}
}
For an electroencephalograph (EEG)-based brain computer interface (BCI) application, the use of gel on the hair area of the scalp is needed for low impedance electrical contact. This causes the set up procedure to be time consuming and inconvenient for a practical BCI system. Moreover, studies of other cortical areas are useful for BCI development. As a more convenient alternative, this paper presents the EEG based-BCI using the prefrontal cortex non-hair area to classify mental tasks at three… CONTINUE READING

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