Pattern classification of deep brain local field potentials for brain computer interfaces

@article{Mamun2012PatternCO,
  title={Pattern classification of deep brain local field potentials for brain computer interfaces},
  author={Khondaker A. Mamun and Mohammad Nurul Huda and Michael Mace and Mark E. Lutman and John F. Stein and Xuguang Liu and Tipu Z. Aziz and Ravi Vaidyanathan and Si-Yuan Wang},
  journal={2012 15th International Conference on Computer and Information Technology (ICCIT)},
  year={2012},
  pages={518-523}
}
The trend of current brain computer interfaces (BCI) seek to establish bi-directional communication with the brain, for instance, recovering motor functions by externally controlling devices and directly stimulating the brain. This will greatly assist paralyzed individuals through bypassing the damaged brain region. The key process of this communication interface is to decode movements from neural signals and encode information into neural activity. The majority of decoding or pattern… CONTINUE READING

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